Absurdly fast analytics, none of the ops

ClickHouse is fast, but speed alone doesn't ship products. MergeTree tuning, shard balancing, non-standard SQL, and operational overhead add up. MotherDuck gives you sub-second analytics with zero infrastructure to manage.

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Why MotherDuckWhy MotherDuckWhy MotherDuckWhy MotherDuckWhy MotherDuckWhy MotherDuckWhy MotherDuckWhy MotherDuck

Why MotherDuck

The data warehouse for builders

ClickHouse is a genuinely fast analytical database - but running it means owning the complexity. Self-hosted clusters need ZooKeeper, shard rebalancing, and MergeTree engine tuning. Even ClickHouse Cloud exposes materialized view management, service topology decisions, and a non-standard SQL dialect. MotherDuck is serverless, SQL-standard, and simple to manage.


Architecture	Distributed clusters with sharding and replication. Self-hosted requires ZooKeeper/Keeper coordination. Cloud offers managed nodes.	Hypertenancy: each user gets an isolated Duckling that spins up in 100ms and scales independently.
SQL dialect	ClickHouse SQL: non-standard, case-sensitive functions, no full ANSI SQL support. Requires rewriting standard queries.	DuckDB SQL: PostgreSQL-based, ANSI-compliant. Standard SQL works out of the box.
Cost model	Self-hosted: you own the infrastructure. Cloud: per-minute compute in 8GB increments + compressed storage charges. Hard to predict.	Billed by the second, $0.60–$36/hr. One rate per instance size. No storage surcharges on analytical queries.
Maintenance	Self-hosted: ZooKeeper, shard balancing, MergeTree tuning, version upgrades, backups. Cloud: materialized views, service topology, scaling policies.	Entirely managed - just choose your instance size.
Postgres compatibility	Requires pg_clickhouse extension running on a Postgres server, deployed within Clickhouse or externally.	Supports the Postgres wire protocol through a managed Postgres endpoint. Connect existing Postgres clients, BI tools, and applications without changes.
Dual execution	No equivalent.	DuckDB-Wasm runs in the browser for ultra-fast in-browser analytics. Join local and cloud data in one query.
Local development	clickhouse-local exists but is a different runtime from Cloud. No seamless local-to-cloud workflow.	DuckDB runs on your laptop - same SQL, same engine as cloud. Change one connection string to deploy.
Native business intelligence	No native BI. Connect external tools via JDBC/ODBC.	Dives: agent-native data apps included. Create any experience in React + SQL, then deploy internally or embed.

Don't take our word for it

Why Builders prefer MotherDuck

An absurdly fast data warehouse with standard SQL, serverless operations, native AI integration, and Postgres compatibility. No clusters, no shards, just answers from your data.

Hypertenancy Architecture

Scale user-level compute independently, with full isolation on ultra-fast DuckDB instances. Human users can query freely without resource constraints, while analytics agents stay fully sandboxed. No runaway costs.

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Aggressively Serverless

No clusters to manage and no runaway costs. Compute instances spin up instantly and bill by the second, so you can scale up when you need to and save money when you don't. Five instance sizes to handle ad hoc analytics, dbt runs, and massive backfills.

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Query in Natural Language

AI where it makes sense, determinism where it doesn't. Use the MotherDuck MCP Server to query, explore, and manage your data in natural language. Bring your own agent, no extra charge.

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Data Apps Included

Dives are MotherDuck's agent-native data apps. Build any visualization or data experience with your favorite AI agent, including zero-latency interactivity thanks to MotherDuck's dual execution model. Deploy internally or embed for customer-facing analytics.

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Postgres Compatible

Migrate from Postgres, add sub-second analytics to your existing application, or connect hundreds of tools. MotherDuck supports the Postgres wire protocol, so you can use existing clients and third-party compatible tools for absurdly fast queries.

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MotherDuck vs Databricks

Databricks is built for ML pipelines and large-scale Spark workloads. If your team's primary job is SQL analytics, MotherDuck is purpose-built for it — no JVM, no cluster tuning, no DBU math.

MotherDuck vs Snowflake

Snowflake is a popular cloud data warehouse, but high costs and management complexity hold data teams back. Here's how MotherDuck and Snowflake compare.

MotherDuck vs Bigquery

Surprise bills, concurrency caps, partitioning just to control costs: BigQuery's pricing model punishes you for querying your own data. MotherDuck is flat per-second pricing — no scanning tax, no surprises.

MotherDuck vs Redshift

VACUUM, WLM queues, cluster resizing: Redshift is a full time job. MotherDuck is ultra fast and fully serverless — just sub-second analytics, billed by the second.

MotherDuck vs Postgresql

Postgres is the fastest growing transactional database in the world, but it wasn't built for analytical queries: aggregations, joins across millions of rows, dashboard-powering scans. MotherDuck brings Postgres compatibility and sub-second queries to your data stack.

FAQS

Isn't ClickHouse faster than everything?

ClickHouse is fast - but so is MotherDuck. On ClickBench, MotherDuck Mega (5.9s) outperforms both ClickHouse self-hosted (32.3s) and ClickHouse Cloud 64GiB 2-node (18.7s). ClickHouse's strength is sustained ingestion of high-volume event streams - if that's your primary workload, it's a strong choice. For interactive SQL analytics, dashboards, and embedded analytics, MotherDuck is faster with far less operational overhead.

What about ClickHouse Cloud - doesn't that solve the ops problem?

ClickHouse Cloud reduces infrastructure management, but you still own materialized view design, service topology decisions, scaling policies, and a non-standard SQL dialect. MotherDuck is fully serverless - choose an instance size and query. No tuning required.

Does MotherDuck support ClickHouse SQL?

No - and that's a feature. ClickHouse SQL is non-standard: case-sensitive functions, no full ANSI SQL support, and custom syntax for mutations and aggregations. DuckDB SQL is PostgreSQL-based and ANSI-compliant. Together AI found only 10–20 of 99 standard TPC-DS queries ran on ClickHouse without modification. On MotherDuck, standard SQL works out of the box.

Can I use MotherDuck for customer-facing analytics?

Yes - this is one of MotherDuck's strongest differentiators. Hypertenancy gives every end user or customer their own isolated Duckling that spins up in 100ms and scales to zero when idle. ClickHouse can power embedded analytics, but requires careful capacity planning, connection management, and query isolation - problems MotherDuck solves architecturally.

What if my workload is too big for MotherDuck?

MotherDuck handles production scale - companies like Together AI run serious workloads on it. If your dataset is truly large, DuckLake's partitioned storage means queries only scan the partitions they need, so you get fast performance even at scale.

Is there a free tier?

Yes. MotherDuck's Lite plan includes an allotment of 10GB of storage and 10 compute-hours per month. To start, just sign in - no credit card required.

Can my team query MotherDuck with AI agents?

Yes. The MotherDuck MCP Server connects any AI agent - Claude, ChatGPT, Cursor - directly to your data. Non-technical team members can ask questions in plain English. Each user and agent gets their own isolated Duckling, and results can be published as Dives - interactive, shareable data apps - without a separate BI tool.

Fast analytics without the ops tax

Fly faster on MotherDuck, for internal insights or in your application.

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