Quick comparison # App Pricing Verified price Open source Platforms Verified facts Score 1 ClickHouseOpen source 30 days with $300 credits No Web, Linux, macOS +1 5 of 5 83.8 2 Google BigQueryFree plan + paid $6.25 per TiB scanned (on-demand) No Web 4 of 4 76.8 3 MotherDuckFree plan + paid $250 per org/month + usage No Web 5 of 5 64.8 4 DuckDBOpen source — Yes Windows, macOS, Linux +1 5 of 5 57.5
1 Best for: Engineering teams building real-time dashboards, observability or analytics over billions of rows
Open source Web, Linux, macOS, Self-hosted
Why switch from Tinybird
Run the same ClickHouse engine yourself or on ClickHouse Cloud, with more control and no API layer on top.
Pros Very fast aggregations over large tables, suited to live dashboards Apache 2.0 open source, so it can be self-hosted at no licence cost Strong compression keeps storage costs down Managed cloud option on AWS, Google Cloud and AzureCons Schema and table-engine choices need care to get good performance Updates, deletes and large joins are weaker than in general-purpose warehouses Self-hosting a cluster takes real operational workHow this score is calculated Editorial fit ×0.3 100
Reviews ×0.3 63
Clicks (90 days) ×0.15 100
Freshness ×0.15 100
Votes ×0.1 50
0 counted reviews, 0 up and 0 down votes. Full formula
2 Best for: Teams on Google Cloud or GA4 who want a warehouse with no servers to manage
Free plan + paid Web
Why switch from Tinybird
Serverless warehouse with deep Google Cloud integration, better for large batch analysis than per-request APIs.
Pros Fully serverless, with nothing to size or keep running Monthly free query and storage allowance for small projects Native exports from Google Analytics 4 and other Google products Machine learning models can be trained in plain SQLCons Tied to Google Cloud; there is no self-hosted version On-demand billing by data scanned can surprise teams that query wide tables Less control over performance tuning than with your own clusterHow this score is calculated Editorial fit ×0.3 77
Reviews ×0.3 63
Clicks (90 days) ×0.15 100
Freshness ×0.15 100
Votes ×0.1 50
0 counted reviews, 0 up and 0 down votes. Full formula
3 Best for: DuckDB users and small data teams who want a cheap, fast cloud warehouse without cluster tuning
Free plan + paid Web
Why switch from Tinybird
Serverless DuckDB in the cloud, a lighter and simpler option for analytics on modest data sizes.
Pros Free plan with storage and compute included each month Isolated compute per user avoids noisy-neighbour slowdowns Same SQL as local DuckDB, with queries that can run partly on your laptop Per-second billing on larger instancesCons Cloud-only, with no on-premises version Runs only in AWS regions, and each organisation is tied to one region Single-node design is not aimed at the very largest datasetsHow this score is calculated Editorial fit ×0.3 87
Reviews ×0.3 63
Clicks (90 days) ×0.15 0
Freshness ×0.15 100
Votes ×0.1 50
0 counted reviews, 0 up and 0 down votes. Full formula
4 Best for: Analysts and data engineers who want fast SQL over local or cloud files without running a database server
Open source Self-hostable Windows, macOS, Linux, Web
Why switch from Tinybird
Free embedded analytics database you can run inside your own service for small to mid-sized datasets.
Pros Runs in-process with no server to install or manage Queries CSV, JSON, Parquet and Iceberg files directly Clients for Python, R, Java, Node.js, Go, Rust and more MIT licence, governed by an independent foundationCons Not built for many concurrent writers or high-volume transactional apps Single-machine engine; scaling beyond one host needs other tools or a hosted service No built-in GUI; you need a client tool or notebook for visual workHow this score is calculated Editorial fit ×0.3 63
Reviews ×0.3 63
Clicks (90 days) ×0.15 0
Freshness ×0.15 100
Votes ×0.1 50
0 counted reviews, 0 up and 0 down votes. Full formula