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 PostgreSQLOpen source — Yes Linux, macOS, Windows +1 5 of 5 54.4 4 MotherDuckFree plan + paid $250 per org/month + usage No Web 5 of 5 42.3
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 DuckDB
An open-source columnar database that runs as a server, better for many users and very large datasets.
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 DuckDB
A serverless cloud warehouse for data too big or shared too widely for one machine.
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: Developers and teams who want a free, standards-minded relational database that scales with their app.
Open source Self-hostable Linux, macOS, Windows, Self-hosted
Why switch from DuckDB
A general-purpose database for both app data and analytics, with a SQL dialect DuckDB borrows from.
Pros Strong SQL standards support and full ACID transactions Rich types: JSONB, arrays, ranges, plus PostGIS for maps Highly extensible with custom types and functions Permissive licence and community governance, not one vendorCons Running replication, failover and major upgrades yourself takes expertise Connection handling often needs a pooler under heavy load No official GUI; you pick a separate clientHow this score is calculated Editorial fit ×0.3 52
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
Verified facts 5 of 5 verified License PostgreSQL License (BSD/MIT-like) Checked Nov 8, 2026postgresql.org(opens source in a new tab) Origins 1986, UC Berkeley POSTGRES project Checked Nov 8, 2026postgresql.org(opens source in a new tab) ACID-compliant Since 2001 Checked Nov 8, 2026postgresql.org(opens source in a new tab) JSON support JSON/JSONB Checked Nov 8, 2026postgresql.org(opens source in a new tab) Platforms Linux, macOS, Windows, BSD, Solaris Checked Nov 8, 2026postgresql.org(opens source in a new tab) 4 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 DuckDB
Adds cloud storage, sharing and managed compute while keeping the same DuckDB SQL.
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 12
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