Open Source Alternatives
Open Source Databases Alternatives to BigQuery
Google's serverless, scalable cloud data warehouse.
BigQuery is a trademark of its respective owner.
Updated Sep 2026
What you gain
- ✓No per-TB query pricing that spikes with analyst activity
- ✓Full control over data warehouse without Google Cloud dependency
- ✓No slot-based pricing for reserved compute capacity
- ✓Self-hosted analytics with no egress fees on query results
What you give up
- △No BigQuery ML for training models directly in SQL
- △No managed columnar storage with automatic optimization
- △No BigQuery BI Engine for sub-second dashboard queries
- △No native Looker and Google Sheets integration
Switching Cost
BigQuery's lock-in is the SQL dialect and ecosystem integration. Your data exports to Parquet or CSV, but the BigQuery-specific SQL functions, ML models trained in BigQuery ML, and scheduled queries need rewriting. Teams with simple reporting queries can migrate in a few days. Teams with complex data pipelines, UDFs, and BigQuery ML models should budget 2-4 weeks. The hidden cost is the Looker/Sheets integration: if your business users run reports directly from BigQuery through connected sheets or Looker dashboards, every one of those connections needs rebuilding.
| ClickHouse | doris | |
|---|---|---|
| Overlap | 70% | 55% |
| Migration | significant | major |
| License | Apache License 2.0 | Apache License 2.0 |
| Best for | Teams with DevOps | Teams with DevOps |
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Drop-in Replacements
Ranked by feature coverage
ClickHouse
9170% coverageReal-time analytics database management system
ClickHouse aggregates a billion-row table in under a second where Postgres would sit there for thirty. It is the engine behind analytics at Cloudflare, GitLab, and eBay.
doris
9255% coverageApache Doris is a real-time analytics and hybrid search database for AI agents.
Doris is a database built for one job: answering analytics questions fast, even while the data is still streaming in. If you run dashboards that thousands of users hit at once, or you're piling up logs and metrics and want to query them with plain SQL, this is the kind of engine that sits underneath.
Building Blocks
BigQuery is a platform. It bundles multiple capabilities into one subscription. These tools each cover one piece. Teams often assemble 2–3 of them instead of paying for the full suite.
Trino
88covers: federated SQL55%Distributed SQL query engine for big data
DuckDB
88covers: analytical SQL50%Analytical in-process SQL database
starrocks
90covers: real-time analytics45%The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.
QuestDB
88covers: time-series SQL45%High-performance time-series database
druid
90covers: real-time analytics40%Apache Druid: a high performance real-time analytics database.
Show 3 more building blocks
TimescaleDB
86covers: time-series SQL40%Time-series database as a Postgres extension
impala
72covers: SQL query engine40%Apache Impala
paimon
80covers: lakehouse storage30%Apache Paimon is a lake format that enables building a Realtime Lakehouse Architecture with Flink and Spark for both streaming and batch operations.
Amazon RDS