Databases · head to head
MotherDuck vs Tinybird

MotherDuck
Databases
Serverless analytics data warehouse built on DuckDB
- From
- Free
- Rated
- -

Tinybird
Databases
Managed ClickHouse with a workflow that turns SQL queries into hosted HTTP APIs
- From
- Free
- Rated
- -
The short version
- Each has a real cost: MotherDuck the free Lite plan caps compute at 10 hours per month, which limits it to light or hobbyist workloads.; Tinybird it is ClickHouse underneath, so it inherits ClickHouse limits: multi-table joins degrade badly at scale, updates and deletes are expensive mutations rather than cheap operations, and a poorly chosen sorting key at table creation cannot be fixed without rebuilding the data.
- They diverge on capability: MotherDuck covers Serverless DuckDB instances, Tinybird covers Managed ClickHouse.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which MotherDuck and Tinybird actually diverge.
| Attribute | MotherDuck | Tinybird |
|---|---|---|
| Pricing model | usage-based | Per month by compute and storage |
| Platforms | web, api | Web, Cloud, Linux, macOS |
| Founded | 2022 | Unknown |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in MotherDuck
- Serverless DuckDB instances
- Cloud storage querying
- MCP server
- Dives
- Flights
- Read-scaling replicas
Only in Tinybird
- Managed ClickHouse
- Pipes as APIs
- Events HTTP endpoint
- Streaming connectors
- Materialized views
- Git-based workflow
- Token-scoped auth
- Observability
What people use each for
The jobs each tool is most often brought in to do.
MotherDuck
- Ad-hoc analytics on gigabyte-to-terabyte datasetsnot Tinybird
- Querying data lake files in S3/GCS/Azure without ingestionnot Tinybird
- AI agent data analysis via MCPnot Tinybird
- Scheduled data pipeline transformationsnot Tinybird
Tinybird
- A SaaS product adding a per-customer usage dashboard that must render in under a second across billions of eventsnot MotherDuck
- A team building rate limiting or fraud checks that need an aggregate over the last few minutes returned inside a request cyclenot MotherDuck
- A data team offloading interactive operational dashboards from Snowflake, where per-query warehouse cost makes constant refresh untenablenot MotherDuck
- A game or ad-tech company ingesting a high-volume event stream and exposing live counters back to customers through an APInot MotherDuck
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
MotherDuck
- The free Lite plan caps compute at 10 hours per month, which limits it to light or hobbyist workloads.
- Business plan usage charges on top of the $250/month base can make costs less predictable than flat-rate competitors.
- There are no academic or non-profit discounts, unlike some competing data platforms.
- Annual billing requires going through a sales conversation rather than a self-serve toggle.
Tinybird
- It is ClickHouse underneath, so it inherits ClickHouse limits: multi-table joins degrade badly at scale, updates and deletes are expensive mutations rather than cheap operations, and a poorly chosen sorting key at table creation cannot be fixed without rebuilding the data.
- Compute is metered per vCPU-second with overage at 0.0002 USD per second, so an inefficient query shipped to production shows up directly on the invoice rather than merely running slowly.
- Only the Enterprise tier gets horizontal scaling and dedicated infrastructure; Free, Developer and SaaS all run on shared infrastructure with vertical scaling only, which caps both isolation and headroom for anyone not on a custom contract.
- Storage is billed at 0.058 USD per gigabyte on top of compute, and egress is charged separately at 0.01 USD per gigabyte intra-cloud and 0.10 USD inter-cloud, so a high-fanout API serving many small responses accrues costs in three places at once.
- You are building on a proprietary workflow around an open database: the pipes, tokens and API layer are Tinybird specific, so leaving means keeping your data but rewriting the entire serving layer you adopted Tinybird to avoid writing.
Pricing, plan by plan
MotherDuck
Free- LiteFree
- Up to 3 internal active users
- 2 service accounts
- 10GB free storage
- Business$250/month
- Up to 10 internal active users
- Unlimited service accounts
- 5 instance types with read-scaling replicas
- Enterprise$undefined/month
- Unlimited internal users and service accounts
- Fixed-cost capacity pricing
- AWS PrivateLink, IP allowlisting
Tinybird
Free- FreeFree
- 0.25 vCPU on shared infrastructure
- 10 GB storage included
- 1,000 requests per day
- Developer$25/month
- 0.5 vCPU scaling to 8 vCPU
- 25 GB storage included
- Two replicas
- SaaS$undefined/month
- Up to 32 vCPU
- 500 GB storage included
- Four to sixteen threads per request
- Enterprise$undefined/year
- Unlimited vCPU and bottomless storage
- Dedicated infrastructure and private regions
- Vertical and horizontal scaling
Which should you pick?
Choose MotherDuck if
- You need serverless duckdb instances.
- You want to start without paying.
- You work on web, api.
- You also want cloud storage querying.
Choose Tinybird if
- You need managed clickhouse.
- You want to start without paying.
- You work on Web, Cloud, Linux, macOS.
- You also want pipes as apis.
Questions people ask
- Is MotherDuck or Tinybird better?
- Neither clearly leads. MotherDuck starts at Free and Tinybird at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, MotherDuck or Tinybird?
- MotherDuck starts at Free and Tinybird at Free.
- Does MotherDuck or Tinybird run on more platforms?
- MotherDuck runs on web, api. Tinybird runs on Web, Cloud, Linux, macOS.
- Can I use MotherDuck for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is MotherDuck best used for?
- MotherDuck is most often used for ad-hoc analytics on gigabyte-to-terabyte datasets, querying data lake files in s3/gcs/azure without ingestion, ai agent data analysis via mcp, scheduled data pipeline transformations. Of those, ad-hoc analytics on gigabyte-to-terabyte datasets and querying data lake files in s3/gcs/azure without ingestion are not what Tinybird is typically brought in for.
- What can MotherDuck do that Tinybird cannot?
- MotherDuck covers Serverless DuckDB instances, Cloud storage querying, MCP server, Dives. Tinybird covers Managed ClickHouse, Pipes as APIs, Events HTTP endpoint, Streaming connectors.
Answered from the vendors’ own pages
MotherDuck: What does MotherDuck cost?
The Lite plan is free (up to 3 users, 10GB storage, 10 hours of Pulse compute/month). Business is $250/organization/month plus usage, with Enterprise available at custom fixed-cost pricing.
SourceTinybird: Is Tinybird just hosted ClickHouse?
No. The database is ClickHouse, but the product is the layer above it: publishing parameterised SQL as authenticated, rate-limited REST endpoints without writing an API server.
MotherDuck: Is there a free plan and what are its limits?
Yes, the Lite plan is free for up to 3 internal active users and 2 service accounts, with 10GB of storage and 10 hours of Pulse compute per month.
SourceTinybird: What does it actually cost?
Free tier at 1,000 requests a day, Developer from 25 USD a month, then compute at 0.0002 USD per vCPU-second and storage at 0.058 USD per gigabyte. Higher tiers are quoted.
MotherDuck: How is usage metered?
Compute instances (Pulse, Standard, Jumbo, Mega, Giga) are billed per second at hourly rates from $0.60 to $24.00/hour, storage is $0.04/GB-month, and AI Functions cost $1.00 per AI Unit.
SourceTinybird: Can I run it on my own infrastructure?
Only on Enterprise, which offers dedicated infrastructure and private regions. Lower tiers are shared multi-tenant cloud.
Tinybird: Does it handle updates and deletes?
Poorly, as ClickHouse does. Design for append-only event data; frequent mutation is the wrong workload for this engine.
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