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Astrodata

CorrDyn is a data-driven technology consultancy that enables scalable and affordable growth.

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CorrDyn

We empower your journey with data by assessing where you are, defining a strategy of where to go, and developing using expert knowledge.

## Assess

Designing and assessing your current landscape helps us plot the best path with you to maximizing your data assets.

## Define

We help you define a path through the data landscape, and craft a strategy that helps you win with data.

## Develop

Our experts are able to execute at an accelerated pace using the latest methodologies.

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Crescent

Supporting your data journey from strategy to value.

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Dataroots

Shearwater is a specialized data consultancy focused on Self-Service Analytics founded by Looker alumni with 15+ years of experience in BI.

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Shearwater

Xebia is a pioneering Software Engineering and IT consultancy company, transforming and executing at the intersection of Domain and Technology to create digital leaders for our people, clients, partners, and communities.

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Xebia

From Raw Data to Insights with Datacoves, dbt, and MotherDuck

Airbyte is an open-source data integration platform that enables the seamless transfer of data from various sources to data warehouses, lakes, and other destinations. It supports a vast range of connectors and provides an intuitive interface for managing data pipelines, ensuring data consistency and reliability. Airbyte offers both a community edition and a cloud service, allowing flexibility in deployment and scalability.

## Airbyte + MotherDuck

Airbyte integrates with MotherDuck by facilitating the extraction, transformation, and loading (ETL) of data from numerous sources directly into the MotherDuck cloud data warehouse. Utilizing Airbyte's extensive library of connectors, users can automate and streamline the process of moving data into MotherDuck, ensuring that their cloud data warehouse remains up-to-date and easily accessible for analysis.

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Airbyte

Apache Airflow is an open-source platform designed to programmatically author, schedule, and monitor workflows. It allows users to define tasks and their dependencies as code, enabling dynamic pipeline generation and complex data orchestration. Airflow supports a rich set of integrations and extensibility through custom plugins and operators.

## Apache Airflow + MotherDuck

Apache Airflow integrates with MotherDuck by leveraging custom operators to connect to the MotherDuck cloud data warehouse. This allows users to execute SQL queries and manage data workflows directly within the Airflow environment, utilizing DuckDB's efficient analytical capabilities in a cloud-native setting.

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AirFlow

Ascend.io is an intelligent data pipeline automation platform that streamlines the creation, operation, and maintenance of data workflows. It provides end-to-end automation, ensuring data engineers can build scalable data pipelines with minimal effort. Ascend.io leverages a unified data ingestion, transformation, and orchestration layer to simplify complex data engineering tasks.

## Ascend.io + MotherDuck

Ascend.io integrates with MotherDuck by enabling seamless data pipeline automation that connects directly to MotherDuck's cloud data warehouse. This integration allows users to effortlessly ingest, transform, and orchestrate data within MotherDuck, leveraging DuckDB’s high-performance querying capabilities to optimize data processing and analytics workflows.

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Ascend

Astronomer Airflow is a managed service for Apache Airflow, providing robust orchestration and scheduling of complex data workflows. It offers scalability, reliability, and ease of use with features such as auto-scaling, monitoring, and a user-friendly interface. Designed for data engineers and analysts, it simplifies the deployment and management of Airflow environments, ensuring seamless data pipeline execution.

## Astronomer Airflow + MotherDuck

Astronomer Airflow can be integrated with MotherDuck by orchestrating data workflows that involve querying, analyzing, and transforming data within the MotherDuck cloud data warehouse. Using Airflow operators, users can automate and schedule SQL queries and data processing tasks directly on MotherDuck, facilitating efficient data pipeline management and execution.

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Astronomer

Open source framework and distributed stream processing engine. Build streaming data pipelines and real-time apps with everything you need: recovery, scalability, windowing, aggregations, and connectors.

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Bytewax

Census is a reverse ETL tool that allows businesses to sync data from their data warehouse directly into the apps they use, such as CRMs, marketing platforms, and other SaaS tools. It helps ensure that all teams have access to the most up-to-date, actionable data by automating the data sync process. Census supports a wide range of data warehouses and enables data-driven workflows without requiring manual data exports or custom integrations.

## Census + MotherDuck

Census integrates with MotherDuck by using MotherDuck's cloud data warehouse capabilities built on DuckDB. This integration allows users to easily sync and transform data stored in MotherDuck to various business applications and SaaS tools. Consequently, data teams can leverage MotherDuck's robust querying and analytics features while ensuring that actionable insights are seamlessly propagated to operational tools via Census.

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Census

CloudQuery is an open-source data integration platform that enables the transformation of cloud assets into SQL-accessible databases. It helps organizations extract, transform, and load (ETL) data from various cloud providers into a format suitable for analysis and monitoring. CloudQuery supports a wide range of cloud services and offers a flexible configuration for custom data pipelines.

## CloudQuery + MotherDuck

CloudQuery integrates with MotherDuck by allowing users to load and transform data from multiple cloud sources directly into the MotherDuck cloud data warehouse. This integration leverages CloudQuery’s ETL capabilities to efficiently funnel data into MotherDuck, making it accessible for advanced analytics and querying through DuckDB's SQL engine.

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CloudQuery

Cube is an API-first analytics platform that enables data engineers and developers to build data applications. It provides a semantic layer to unify data sources, caching, and pre-aggregation for fast query performance. Cube supports various data sources and visualization tools, making it a versatile solution for creating and managing analytical data workflows.

## Cube + MotherDuck

Cube integrates with MotherDuck by leveraging its DuckDB-based architecture to efficiently query and analyze data stored in the MotherDuck cloud data warehouse. This integration enables Cube to utilize MotherDuck's high-performance SQL engine, providing fast and seamless access to large datasets for building robust data applications.

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Cube

Dagster is an open-source data orchestrator designed for the development, production, and observation of data assets. It helps data teams to define, schedule, and monitor complex data workflows, ensuring data reliability and quality. Dagster provides a rich development experience with type-safe pipelines, integrated testing, and seamless collaboration.

## Dagster + MotherDuck

Dagster integrates with MotherDuck by leveraging DuckDB's capabilities within its orchestration workflows. This integration allows data engineers and analysts to run efficient, in-memory SQL queries on data stored in MotherDuck, enabling seamless data processing and analytics within Dagster's pipeline framework. The combined use of Dagster and MotherDuck enhances the ability to manage and analyze data workflows with high performance and flexibility.

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Dagster

DataGrip is a powerful database management tool developed by JetBrains, designed for SQL developers. It provides intelligent query completion, robust code analysis, and refactoring capabilities, supporting various databases like MySQL, PostgreSQL, and Oracle. DataGrip offers a unified interface, enabling users to manage and explore databases efficiently.

## DataGrip + MotherDuck

DataGrip integrates with MotherDuck by leveraging its JDBC connector to connect to the MotherDuck cloud data warehouse. This enables users to execute queries, manage schemas, and analyze data stored in MotherDuck directly from the DataGrip interface.

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Datagrip

DataLab is a collaborative data science platform designed for data analysts and scientists to explore, analyze, and visualize data in a unified workspace. It offers robust tools for data preparation, machine learning, and interactive dashboards, enabling teams to work seamlessly on shared projects. DataLab supports various data sources and integrates with popular programming languages like Python and R, streamlining the data workflow from ingestion to insights.

## DataLab + MotherDuck

DataLab integrates with MotherDuck by allowing users to connect directly to MotherDuck's cloud data warehouse, leveraging DuckDB's efficient querying capabilities. This integration enables DataLab users to perform high-performance data analysis and visualization on large datasets stored in MotherDuck, enhancing their ability to derive actionable insights quickly.

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DataLab

Datawisp is a no code analytics platform that lets anyone analyze data and discover insights regardless of their technical knowledge. Its node-based interface allows users to combine different “blocks” to transform data, much like a developer would with code. Each block performs a different operation, such as filtering, sorting, or creating a chart, and linking even 3 or 4 of these blocks can transform and analyze data in powerful ways. 

Datawisp also features an AI-powered assistant, named Wispy, that takes natural language input from the user and automatically creates charts, tables, and more. Worksheets created by Wispy can be used as-is or can be subsequently edited manually by anyone with some knowledge of how blocks work.

Datawisp runs in a browser and lets users collaborate in real time and share their work with both internal and external audiences.

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Datawisp

dbt (data build tool) is a command-line tool that enables data analysts and engineers to transform data in their warehouse more effectively. It allows users to write modular SQL queries, test data integrity, and document data transformations, streamlining the analytics engineering workflow. dbt supports version control and collaboration, making it easier for teams to manage and deploy data models.

## dbt + MotherDuck

dbt integrates with MotherDuck by allowing users to perform data transformations and analytics directly within the MotherDuck cloud data warehouse. By connecting dbt to MotherDuck, users can leverage DuckDB's efficient query execution engine for transforming and modeling data, ensuring seamless and optimized data workflows. This integration empowers teams to build, test, and document their data pipelines efficiently while utilizing MotherDuck's scalable and performant data infrastructure.

Since both dbt and DuckDB can run locally, users can do development and testing using the same technologies they run in production.

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dbt Core

dlt is an open-source data loading tool that simplifies the process of moving data from various sources into data warehouses or lakes. It supports a wide range of data sources and destinations, offering seamless ETL (Extract, Transform, Load) capabilities with a focus on usability and flexibility. dltHub allows users to manage data pipelines efficiently, ensuring data integrity and consistency throughout the process.

## dlt + MotherDuck

dlt integrates with MotherDuck by enabling users to load data directly into the MotherDuck cloud data warehouse. This integration leverages dltHub's flexible ETL capabilities to move data from multiple sources into MotherDuck, allowing for efficient data management and analysis within the MotherDuck environment.

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🤖 Dot, the data bot is an intelligent virtual data assistance that answers business data questions, retrieves definitions and relevant data assets, and can even assist with data modelling. 

🧠 Leverages the power of large language models combined with your data stack (Snowflake, BigQuery, Redshift, see all Integrations) and documentation of processes and metrics. 

✅ Ships with a developer training space that ensures the data team is in the driver seat and results from Dot are validated. Say No to hallucinations. 

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Estuary is a real-time CDC data integration platform that enables seamless data movement across various systems and applications. It offers tools for building, managing, and monitoring data pipelines, ensuring reliable and low-latency data transfers. Estuary supports a wide range of data sources, destinations, and transformations, making it a versatile solution for modern data workflows.

## Estuary + MotherDuck

Estuary integrates with MotherDuck by enabling real-time data ingestion and synchronization into the MotherDuck cloud data warehouse. Users can set up seamless data pipelines from multiple sources to MotherDuck, ensuring efficient and timely data availability for analysis. This integration leverages Estuary's robust data movement capabilities to enhance the performance and utility of MotherDuck’s DuckDB-based architecture.

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Estuary

Evidence is an open-source analytics tool that allows data teams to create and share reports using SQL and Markdown. It is designed to enable seamless collaboration and real-time data analysis, offering features like version control, interactive dashboards, and automated reporting. Evidence leverages a simple, intuitive interface to help analysts and engineers convert raw data into actionable insights without extensive coding.

## Evidence + MotherDuck

Evidence integrates with MotherDuck by connecting directly to the MotherDuck cloud data warehouse. This allows users to run SQL queries on their data stored in MotherDuck, enabling them to build and share interactive reports and dashboards with real-time data fetched from the DuckDB-based backend. The integration ensures that data analysts and engineers can leverage the scalability and speed of MotherDuck while using Evidence's user-friendly reporting tools.

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Evidence

Fabi.ai combines SQL, Python and AI automation into one collaborative platform to help you conquer complex and ad hoc analyses, turning questions into answers.

## Fabi.ai + MotherDuck

Fabi.ai integrates with MotherDuck by allowing users to connect their smartbooks and reports directly to MotherDuck's cloud data warehouse. This integration enables users to run SQL queries on MotherDuck's DuckDB-based backend, leveraging its high-performance and efficient data analytics capabilities within Fabi's collaborative environment.

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Fabi.ai

Fivetran is a data integration tool that automates the process of extracting, loading, and transforming data from various sources into your data warehouse. It offers pre-built connectors for a wide range of data sources, ensuring reliable, consistent, and up-to-date data for analysis. Fivetran focuses on ease of use, requiring minimal maintenance while providing robust data pipeline solutions.

## Fivetran + MotherDuck

Fivetran integrates with MotherDuck by seamlessly connecting to it as a destination for data ingestion. Users can set up Fivetran to automatically extract data from various sources and load it directly into MotherDuck, leveraging MotherDuck's high-performance analytical capabilities. This integration simplifies the data pipeline setup and ensures that data is consistently and accurately delivered to MotherDuck for analysis.

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Fivetran

GoodData is a cloud-based analytics platform that enables organizations and data product builders to transform raw data into actionable insights. The platform offers robust capabilities including pipeline integration, data modeling and visualization, embedding, and AI capabilities, all of which can be managed as code or with an intuitive user interface. GoodData’s advanced tools for data visualization, reporting, and dashboard creation help users make informed, data-driven decisions.

The platform supports a wide range of data sources to deliver flexible and scalable analytics solutions. GoodData can be deployed in any public or private cloud, data center, or region to ensure seamless integration into various environments while maximizing accessibility and performance.

## GoodData + MotherDuck

GoodData integrates with MotherDuck by leveraging MotherDuck's DuckDB-powered cloud data warehouse capabilities. The integration allows GoodData users to seamlessly query and visualize data stored in MotherDuck, combining the high-performance analytics of DuckDB with GoodData's powerful visualization and reporting tools. The result is a streamlined and efficient workflow for data analysis and business intelligence.

## Key Benefits

- **Ease of Use:** Compatibility across all programming languages and the ability to run in the web browser ensures a user-friendly experience
- **Increased Speed:** Faster queries reduce the cost of ownership by optimizing performance
- **Feature-Rich Database:** The GoodData platform supports standard SQL, rich integrations, and advanced capabilities like GROUP BY ALL to support complex data needs
- **Flexible and Extensible:** Load data from various sources for seamless integration into existing pipelines - GoodData’s open-source nature delivers extreme flexibility for customization

The integration empowers users to maximize their data's potential and extract valuable insights and drive informed business decisions.

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GoodData

Google Colab is a free cloud-based Jupyter notebook environment that allows users to write and execute Python code through the browser. It provides free access to GPU and TPU computing resources, making it ideal for machine learning, data analysis, and scientific computing. Colab supports collaborative editing and integrates seamlessly with Google Drive for easy access to files and notebooks.

## Google Colab + MotherDuck

Google Colab can integrate with MotherDuck by utilizing the DuckDB Python API within the Colab environment. Analysts and data scientists can connect to the MotherDuck cloud data warehouse directly from their Colab notebooks to execute SQL queries, perform data analysis, and leverage the computational power provided by MotherDuck. This integration enables seamless data processing and analysis within a familiar and accessible interface.

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Google CoLab

Hex is a collaborative data workspace that allows data scientists, analysts, and engineers to create, share, and run complex data workflows. It combines powerful data notebooks with a rich set of visualization tools and integrations, enabling seamless collaboration and exploration of data. Hex supports SQL, Python, and no-code data manipulation, making it versatile for various data tasks.

## Hex + MotherDuck

Hex integrates with MotherDuck by allowing users to connect their Hex notebooks directly to MotherDuck's cloud data warehouse. This integration enables users to run SQL queries on MotherDuck's DuckDB-based backend, leveraging its high-performance and efficient data analytics capabilities within Hex's collaborative environment.

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Holistics helps data teams set up self-service BIs that are reliable and easy to maintain.
Everyone can now self-serve data with confidence by applying software's best practices.

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inectaETL provides a comprehensive set of pre-configured data transformations from Microsoft Business Central, quickly pipelined into MotherDuck within minutes, so you can:

- Easily extend the pipeline by adding more datasets as needed

- Seamlessly integrate new data sources without interrupting operations 

- Ensure complete, accurate, and up-to-date data is always visible

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Inecta ETL

Kestra is an open-source orchestration and scheduling platform designed to automate complex data workflows. It provides a user-friendly interface for managing tasks, real-time monitoring, and error handling, making it easier to streamline data operations. Kestra supports a wide range of plugins, enabling seamless integration with various data systems and tools.

## Kestra + MotherDuck

Kestra integrates with MotherDuck by leveraging its flexible plugin system to connect with the cloud data warehouse capabilities of MotherDuck. This integration allows users to orchestrate and manage data workflows that involve querying and processing data stored in MotherDuck, utilizing DuckDB's efficient analytics database engine to optimize performance.

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Kestra

LangChain is a framework designed to facilitate the development of applications leveraging large language models (LLMs). It provides tools for building, managing, and deploying LLM-powered applications, enabling seamless integration with various data sources and workflows. LangChain supports features such as prompt management, model evaluation, and API connectivity to streamline the development process for data-driven applications.

## LangChain + MotherDuck

LangChain integrates with MotherDuck to enable seamless interaction between LLM-powered applications and the cloud data warehouse capabilities of MotherDuck. By leveraging DuckDB's efficient in-process querying and MotherDuck's scalable cloud infrastructure, LangChain applications can perform complex data manipulations and analytics in real-time. This integration ensures that data scientists and analysts can harness the power of LLMs while maintaining robust, scalable, and efficient data workflows.

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LangChain

LlamaIndex.ai is a data framework designed to facilitate the ingestion, transformation, and querying of unstructured data using large language models (LLMs). It simplifies the process of building applications that utilize natural language processing and machine learning by providing a suite of tools for seamless data integration and analysis.

## LlamaIndex.ai + MotherDuck

LlamaIndex.ai integrates with MotherDuck by leveraging DuckDB's capabilities to query structured data efficiently within the MotherDuck cloud data warehouse environment. This integration allows users to combine unstructured data handling from LlamaIndex.ai with the high-performance querying and storage solutions provided by MotherDuck, enabling comprehensive data analysis workflows.

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LlamaIndex

Mage is an open-source data pipeline tool designed to simplify the process of building, running, and managing data pipelines. It offers a user-friendly interface, supports scheduling and monitoring, and integrates seamlessly with various data sources and destinations. Mage provides built-in features for data transformations, ensuring efficient and reliable data workflows.  They call themselves the modern replacement for Airflow.

## Mage + MotherDuck

Mage integrates with MotherDuck by allowing users to create data pipelines that connect to MotherDuck's cloud data warehouse. This integration enables seamless data ingestion, transformation, and analysis within MotherDuck, leveraging DuckDB's high-performance query engine for efficient data processing.

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Mage

marimo is a reactive notebook for Python and SQL that models notebooks as dataflow graphs. When you run a cell or interact with a UI element, marimo automatically runs affected cells (or marks them as stale), keeping code and outputs consistent and preventing bugs before they happen. Every marimo notebook is stored as pure Python, executable as a script, and deployable as an app.

## marimo + MotherDuck

marimo integrates with MotherDuck to provide an interactive and seamless data analysis experience. Users can connect directly to their MotherDuck data warehouse using marimo's SQL cells or using the DuckDB Python API, allowing them to:

- Create dynamic visualizations of data stored in MotherDuck using marimo with your favorite plotting library for Python
- Leverage marimo's reactive execution to automatically keep queries and visualizations up to date
- Build interactive dashboards and apps that query MotherDuck data in real-time
- Mix-and-match Python and SQL to perform complex data transformations on MotherDuck tables
- Use AI to generate SQL queries and visualizations of your MotherDuck tables

The integration enables data scientists and analysts to create reproducible, interactive data workflows that scale seamlessly from local development to production deployments. marimo's dataflow graph ensures data consistency while MotherDuck provides enterprise-grade data storage and querying capabilities.

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Marimo

Meltano is an open-source data integration platform designed for data teams to manage their ELT pipelines with ease. It supports a plug-and-play architecture, offering compatibility with various data sources and destinations, and allows for the orchestration of complex data workflows. Meltano emphasizes declarative code-first model,  flexibility, and collaboration, making it a robust tool for streamlining data operations.

## Meltano + MotherDuck

Meltano integrates with MotherDuck by utilizing its ability to connect to DuckDB-based data warehouses. This seamless integration allows data teams to extract, load, and transform data directly within MotherDuck's scalable cloud environment, leveraging DuckDB's performance capabilities to optimize data workflows.

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Meltano

Metabase is an open-source business intelligence tool that enables users to easily create dashboards, generate reports, and ask questions about their data without needing to write SQL queries. It provides a user-friendly interface that allows data exploration and visualization, making it accessible for both technical and non-technical users. Metabase connects to various databases and data warehouses, offering robust analytics capabilities.

## Metabase + MotherDuck

Metabase integrates with MotherDuck by connecting directly to the MotherDuck cloud data warehouse. Users can leverage Metabase's intuitive interface to query, visualize, and analyze data stored in MotherDuck, taking advantage of DuckDB's fast analytical query performance. This integration allows seamless data exploration and reporting, enabling efficient data-driven decision-making.

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Metabase

Microsoft Power BI is a business analytics service that delivers insights to enable fast, informed decisions. It provides interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards. Power BI connects to a wide variety of data sources, offering robust data preparation, data discovery, and interactive reporting.

## Power BI + MotherDuck

Microsoft Power BI integrates with MotherDuck by connecting to the cloud data warehouse capabilities provided by MotherDuck, which is based on DuckDB. This integration allows users to leverage Power BI's powerful visualization and analytics tools to explore and analyze data stored in MotherDuck, ensuring seamless data access and real-time insights.

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Microsoft Power BI

Monte Carlo is a data observability platform designed to help organizations monitor and ensure the reliability of their data pipelines. It provides automated monitoring, alerting, and root cause analysis to detect and resolve data quality issues in real-time. Monte Carlo supports integration with various data warehouses, ETL tools, and BI platforms to provide end-to-end data reliability.

## Monte Carlo + MotherDuck

Monte Carlo integrates with MotherDuck to offer comprehensive data observability for data stored and processed within the MotherDuck cloud data warehouse. Through this integration, Monte Carlo can monitor data quality, lineage, and performance metrics, ensuring that data in MotherDuck is reliable and any issues are promptly identified and addressed. This seamless integration helps data teams maintain trust in their data and streamline the issue resolution process.

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Monte Carlo

Ollama is a free, open-source platform that allows users to run large language models (LLMs) on their local machine. It's designed to make LLM technology more accessible and customizable, and can be used for a variety of tasks beyond coding

## Ollama + MotherDuck

Ollama can use MotherDuck as a DuckDB-based backend for Retrieval Augmented Generation of LLM results. 

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Ollama

Omni is a comprehensive data analytics platform that provides tools for data preparation, visualization, and advanced analytics. It enables users to seamlessly integrate and analyze data from various sources, offering intuitive dashboards and powerful reporting features. Omni supports collaborative workspaces, making it easier for teams to share insights and drive data-driven decisions.

## Omni + MotherDuck

Omni integrates with MotherDuck by allowing users to connect directly to MotherDuck's cloud data warehouse. This integration facilitates efficient querying and analysis of large datasets stored in MotherDuck, leveraging DuckDB's high-performance capabilities. Users can pull data from MotherDuck into Omni for further processing, visualization, and reporting within a unified platform.

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Omni

OneSignal is a omnichannel solution that helps you improve conversion, boost engagement, and retain users.

It feeds events from MotherDuck to power:
- Push Notifications
- In-App Messages
- Email
- SMS

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OneSignal

Orchestra is a Modern Data Orchestration Platform, that gives you everything you need to build end to end AI and Data Workflows using MotherDuck.

The Orchestra x Motherduck integration allows data teams to easily move data to Motherduck using duckdb/python, execute queries on Motherduck directly and even run dbt-core on Motherduck. No infrastructure to manage, no learning curve, instant set-up.

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Orchestra

Paradime  is a collaborative development environment designed for data teams to manage dbt™ projects efficiently. It provides features such as version control, testing, and documentation to streamline the development and deployment of data transformations. Paradime integrates seamlessly with various data warehouses and tools, enhancing the workflow of data analysts, engineers, and scientists.

## Paradime + MotherDuck

Paradime dbt platform integrates with MotherDuck by allowing users to connect their dbt projects directly to the MotherDuck cloud data warehouse. This integration facilitates efficient data transformations and analytics, leveraging MotherDuck's scalable and high-performance querying capabilities to optimize data workflows and ensure seamless data management.

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Paradime

Preset is a modern data exploration and visualization platform built on Apache Superset. It enables users to create, share, and collaborate on interactive dashboards and reports with ease. With robust support for SQL-based querying and a variety of visualization options, Preset is designed to empower data analysts and scientists to gain insights quickly.

## Preset + MotherDuck

Preset integrates with MotherDuck by connecting to it as a SQL-based data source. Users can easily query data stored in MotherDuck's cloud data warehouse using Preset's interface, enabling seamless data visualization and exploration. This integration leverages MotherDuck's efficient, high-performance querying capabilities to enhance the overall data analysis experience.

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Preset

PuppyGraph is a graph analytics platform designed for handling and visualizing complex network data. It provides tools for constructing, querying, and analyzing graph structures, making it easier to uncover relationships and patterns within large datasets. PuppyGraph supports various graph algorithms and offers a user-friendly interface for both technical and non-technical users.

## PuppyGraph + MotherDuck

PuppyGraph integrates with MotherDuck by utilizing DuckDB's efficient analytical capabilities as a backend for storing and querying graph data. This integration allows seamless data flow between MotherDuck's cloud data warehouse and PuppyGraph, enabling users to perform advanced graph analytics on data stored in MotherDuck. This combination leverages the high-performance querying of DuckDB with the specialized graph processing features of PuppyGraph.

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PuppyGraph

Rill Data provides real-time analytics and visualizations, enabling users to create interactive dashboards and monitor key metrics with minimal latency. Built for speed and simplicity, Rill Data allows data teams to ingest, transform, and analyze streaming data efficiently. Its platform is designed to handle high-throughput data streams and deliver insights in real time.

## Rill Data + MotherDuck

Rill Data integrates with MotherDuck by leveraging its cloud-based DuckDB architecture to store and query large datasets efficiently. This integration enables seamless real-time data ingestion and analytics, allowing users to perform complex queries on streaming data while benefiting from MotherDuck's robust cloud infrastructure and performance optimization.

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Rill Data

Secoda is a unified data discovery and management platform designed to help data teams efficiently organize, document, and collaborate on their data assets. It offers features such as data cataloging, automated documentation, and data lineage tracking, simplifying the process of making data easily accessible and understandable for all stakeholders. Secoda is built to enhance productivity and transparency within data-driven organizations.

## Secoda + MotherDuck

Secoda integrates with MotherDuck by allowing users to catalog and manage data stored in the MotherDuck cloud data warehouse. Through this integration, data teams can leverage Secoda’s capabilities to document, discover, and track the lineage of data within MotherDuck, providing a seamless experience for organizing and understanding cloud-based data assets.

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Secoda

Sling Data is a modern data integration platform that enables seamless data movement across various sources and destinations. It offers robust ETL capabilities, real-time data streaming, and transformation tools to ensure data is always accessible and up-to-date. With its intuitive interface and extensive connector library, Sling Data simplifies the process of integrating and managing complex data pipelines.

## Sling Data + MotherDuck

Sling Data integrates with MotherDuck by leveraging its comprehensive connector library to facilitate seamless data transfer and synchronization between various data sources and the MotherDuck cloud data warehouse. This integration allows users to efficiently load, transform, and query data within MotherDuck, utilizing DuckDB's powerful analytical capabilities.

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Sling Data

Soda is a data quality platform that enables data teams to detect, diagnose, and resolve data issues. It offers tools for monitoring, testing, and managing data quality, ensuring reliable data across the data pipeline. The platform supports integrations with various data sources and provides actionable insights to maintain data integrity.

## Soda + MotherDuck

Soda integrates with MotherDuck to ensure high data quality within the MotherDuck cloud data warehouse environment. By connecting to MotherDuck, Soda can monitor and test data stored in MotherDuck, allowing data teams to identify and address data quality issues promptly. This integration helps maintain accurate and reliable data for analytics and decision-making processes.

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Soda

SQLMesh is a data transformation framework designed to simplify the development and management of data pipelines. It offers a flexible architecture that supports version control, testing, and deployment of SQL-based workflows. SQLMesh helps ensure data quality and consistency by automating the maintenance of dependencies, scheduling, and monitoring of data transformation jobs.

## SQLMesh + MotherDuck

SQLMesh integrates with MotherDuck by leveraging DuckDB's capabilities within the MotherDuck cloud data warehouse. This integration enables SQLMesh users to perform efficient data transformations and analytics directly on the data stored in MotherDuck. Through this integration, users can benefit from streamlined data workflows and enhanced performance for their data projects.

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SQLMesh

Streamkap is streaming ETL and change data capture built on Apache Kafka and Flink. Sub-second latency, easy to use, zero maintenance.

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Streamkap

Streamlit is an open-source app framework designed for creating and sharing data apps. It allows users to build and deploy interactive web applications in Python effortlessly. With a minimal amount of code, data scientists and analysts can turn their data scripts into rich, functional apps that can be shared and iterated on quickly.

## Streamlit + MotherDuck

Streamlit can be integrated with MotherDuck to create interactive data applications that leverage the power of DuckDB in the cloud. By connecting Streamlit apps to MotherDuck, users can query, analyze, and visualize data stored in MotherDuck's cloud data warehouse, enabling seamless and efficient data workflows directly within Streamlit's user-friendly interface.

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Streamlit

Apache Superset is an open-source data exploration and visualization platform designed for modern data teams. It offers a rich set of data visualization capabilities, a user-friendly interface, and robust integration options for various data sources. Superset allows users to create and share dashboards, run SQL queries, and gain insights from their data in real-time.

## Superset + MotherDuck

Superset integrates with MotherDuck by connecting to it as a SQL-based data source. Users can configure Superset to query data stored in MotherDuck's cloud data warehouse, leveraging DuckDB's efficient query processing engine. This integration enables seamless data visualization and exploration directly from MotherDuck within the Superset interface.

MotherDuck also supports Preset, which is a commercial cloud platform based on the Apache Superset open source project.

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Superset

Tableau is a leading visual analytics platform that transforms data into actionable insights through interactive and shareable dashboards. It connects to various data sources, enabling users to create and distribute visualizations with ease. Tableau supports real-time collaboration and offers robust analytical capabilities for data discovery and storytelling.

## Tableau + MotherDuck

Tableau integrates with MotherDuck by allowing users to connect directly to their MotherDuck cloud data warehouse. This integration enables seamless data querying and visualization, leveraging DuckDB's efficient query engine for fast and interactive analytics. Data analysts, scientists, and engineers can thus utilize Tableau's powerful visualization tools to explore and present data stored in MotherDuck.

Tableau desktop, the on-premise hosted product and Tableau Cloud are all supported. 

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Tableau

80% of enterprise data is locked in complex documents, untapped and unused. Every day, valuable insights remain buried in PDFs, presentations, and emails you haven't been able to access. Until now. Unstructured automatically transforms complex, unstructured data into clean, structured data for GenAI applications. Automatically. Continuously. Effortlessly.

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Unstructured

Zenlytic is a business intelligence tool designed for e-commerce and direct-to-consumer brands. It offers self-serve analytics capabilities, allowing users to gain insights from their data without needing technical expertise. The platform features natural language querying, making it accessible for teams to generate reports and visualizations quickly.

## Zenlytic + MotherDuck

Zenlytic integrates with MotherDuck by leveraging MotherDuck's cloud data warehouse capabilities for efficient data storage and querying. This integration allows Zenlytic users to run complex analytical queries on large datasets stored in MotherDuck, utilizing DuckDB's high-performance SQL engine for fast and reliable data processing.

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