Stop paying for every byte you scan

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.

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Why MotherDuckWhy MotherDuckWhy MotherDuckWhy MotherDuckWhy MotherDuckWhy MotherDuckWhy MotherDuckWhy MotherDuck

Why MotherDuck

The data warehouse for builders

BigQuery charges for every byte scanned. LIMIT doesn't reduce your bill. Partitioning and clustering aren't features, they're cost management you have to do yourself. Teams routinely get surprised by five-figure bills from a single unoptimized query. MotherDuck flips the model: flat per-second compute pricing, no scanning tax, and no concurrency caps.


Architecture	Serverless with slot-based execution.	Hypertenancy: each user gets an isolated Duckling that spins up in 100ms and scales independently.
Cost model	Per TB scanned ($6.25/TB On-Demand) or slot reservations. 10MB minimum per query. LIMIT doesn't reduce your bill.	Billed by the second, $0.60–$36/hr. No scanning tax. A COUNT(*) costs fractions of a cent.
Cost predictability	Bytes-scanned costs are hard to predict. A single bad query can cost thousands. Slot commits start at 50 slots/month.	Predictable per-second billing. No surprise bills. Cost scales with compute time, not data size.
Maintenance	Serverless — no clusters. But partitioning and clustering are essential to control scan costs.	Entirely managed — just choose your instance size.
dbt performance	MERGE scans your entire target table by default. Requires manual fine-tuning with incremental_predicates to avoid full scans.	Efficient incremental processing out of the box. Your team stops optimizing for the bill.
AI integration	Remote MCP server (preview) with OAuth + IAM setup. Vertex AI and BigQuery ML — mature but GCP-only.	Bring your own agent via MCP. Authenticate and start querying, no intermediary layer.
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	No local option. Test against the service or not at all.	DuckDB runs on your laptop — same SQL, same engine. Change one connection string to deploy to cloud.
Cloud dependency	GCP-native. Data egress to other clouds: $90–150/TB.	Runs on AWS, reads from S3 and GCS. No cloud lock-in.
Native business intelligence	Looker is a separate paid product. Looker Studio is free but limited.	Dives: agent-native data apps. Create any experience in React + SQL, then deploy internally or embed.

Faster, at a fraction of the cost

MotherDuck outperforms BigQuery on benchmarks — with a pricing model that doesn't penalize you for querying your own data.

Faster on ClickBench

MotherDuck Mega completes 43 queries in 5.9s — 4.5x faster than BigQuery serverless (26.8s)
MotherDuck Standard (28.4s) matches BigQuery speed at a fraction of the cost
Consistent hot and cold performance — no slot warmup variability

A fraction of the cost — with no surprises

Per-second billing vs per-byte scanning: your cost scales with compute time, not data size
No surprise bills — a bad query costs seconds of compute, not thousands of dollars in scanned bytes
No engineering overhead managing partitioning, clustering, and incremental_predicates just to keep costs down

SEE BENCHMARK RESULTS

Don't take our word for it

Why teams switch from BigQuery

No per-byte scanning tax, no concurrency queues, no partitioning just to control costs. MotherDuck is flat compute pricing billed by the second — so you can query freely without watching the meter.

Hypertenancy Architecture

BigQuery shares compute across all users — heavy scans from one analyst can queue others, and there's no user-level isolation. Hypertenancy gives every user their own isolated Duckling that spins up in 100ms, so your biggest query never blocks a teammate. Full isolation at the user level.

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Aggressively Serverless

BigQuery On Demand charges $6.25 per TB scanned — LIMIT doesn't reduce your bill, and a stray COUNT(*) on a large table hits the same charge as a full scan. MotherDuck bills by the second on flat compute pricing. You know what a query costs before you run it.

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Query in Natural Language

BigQuery has Gemini in BigQuery for natural language queries, but it's a seat-priced add-on. MotherDuck connects to any AI agent via MCP — query, explore, and analyze your data in natural language. Bring your own model, no extra charge.

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Data Apps Included

BigQuery connects to Looker Studio for free but with limited features; full Looker is a separate enterprise purchase. MotherDuck Dives are included — build any visualization or data experience with an AI agent, deploy internally or embed in customer-facing applications.

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Postgres Compatible

BigQuery uses its own SQL dialect with no Postgres wire protocol support — you need dedicated connectors or the BigQuery API for app integration. MotherDuck supports Postgres wire protocol natively, so existing Postgres-compatible clients, frameworks, and tools connect directly.

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MotherDuck vs Clickhouse

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.

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 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 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.

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.

FAQS

What cost savings can I expect switching from BigQuery?

It depends on your query patterns, but teams running frequent queries on growing datasets often see 40–60% savings. That's from eliminating per-byte scan charges, the engineering hours spent managing partitioning and clustering for cost control, and the surprise bills that come from unoptimized queries hitting production.

Does MotherDuck support all the SQL I use in BigQuery?

Most of it. DuckDB SQL is PostgreSQL-based and supports window functions, CTEs, lateral joins, and UNNEST. A small set of BigQuery-specific functions need updating: SAFE_DIVIDE(x, y) → x / NULLIF(y, 0), CURRENT_TIMESTAMP() → CURRENT_TIMESTAMP, and some array syntax differences.

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. No concurrency caps, no noisy neighbors. BigQuery's default 100-query limit makes this harder to architect.

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.

Can my team query MotherDuck with AI agents?

Leave scanning charges behind

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

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