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Best Open-source cloud data warehouses

10 ranked, with a plain verdict on every entry.

VERIFIEDLISTER SCORE · UPDATED REGULARLY

Best Open-source cloud data warehouses: Top 10 Ranked. Meltano ranks first, with a Lister Score of 94.0.

Meltano ranks first here for Data engineers, and models the data stack as code with Git-based governance. Cloudera converges public cloud with enterprise data centres for a unified experience. CrateDB is built for real-time industrial analytics, and provides full SQL support including JOINs and aggregations over billions of rows without pre-aggregation.
RANKENTRYSCORETRENDFROM
1MeltanoMeltano is an open-source platform for data integration that powers analytics and AI94.0NEW–
2ClouderaUnifies all data with an Open Data Lakehouse powered by Apache Iceberg90.0NEW–
3CrateDBStores time-series, JSON, full-text, vector, geospatial, and structured data in one engine88.0NEW–
4DatabendDelivers over fifty percent cost savings compared to Snowflake88.0NEW–
5DatabricksBuilds reliable ETL pipelines for batch and streaming with Lakeflow88.0NEWCustom
6dbt LabsProvides native local development in popular IDEs88.0NEW–
7AirbyteBuilt for teams building agentic data infrastructure84.0NEW–
8FireboltSupports ADBC, JSON REST, and Postgres wire protocol connectivity84.0NEW–
9PingCAPOffers standard SQL compatibility and integrations with popular developer tools84.0NEW–
10StreamNativeRuns on Lakestream so streams sit next to lakehouse tables84.0NEW–
CURATED · UPDATED REGULARLY

The ranking, in detail

01

Meltano

The open platform for getting data into your warehouse and beyond

Meltano is an open-source platform for data integration that powers analytics and AI. It allows teams to own their pipelines in code they control from day one.

Best for Data engineers
94.0
02

Cloudera

The only hybrid data and AI platform company that brings AI to data anywhere

Cloudera is a modular hybrid data and AI platform engineered for the agentic era. It stands as the industry’s only solution bringing AI to data anywhere.

90.0
03

CrateDB

Distributed SQL for sub-second queries on live operational data

CrateDB is a European real-time analytics database for live operational data. It is built for teams who work with high-volume, high-cardinality data and cannot wait for ETL to catch up.

Best for real-time industrial analytics
88.0
04

Databend

Analytics, search, and AI in one warehouse

Databend Cloud is a unified data warehouse offering analytics, search, and AI capabilities. It is now available on the AWS Marketplace for easy access.

Best for teams seeking a serverless cloud data warehouse
88.0
05

Databricks

The lakehouse platform for data and AI

Databricks is a unified data and AI platform running analytical and operational workloads on one open foundation. It enables organisations to build BI and AI applications while streamlining data processes without adding complexity.

Best for Enterprise scale data engineering and AI model training
88.0
06

dbt Labs

Empowering data teams to build trusted models

dbt Labs provides an open standard for modern data transformation. It enables AI-ready pipelines through SQL-based development.

Best for Data engineering teams
88.0
07

Airbyte

Data movement for analytics and AI agents

Airbyte enables users to replicate data, search semantically, and act with agents across their entire business infrastructure.

Best for teams building agentic data infrastructure
84.0
08

Firebolt

The analytical database for engineers

Firebolt is a product. It says it is built for engineers requiring real-time analytics.

Best for engineers requiring real-time analytics
84.0
09

PingCAP

AI-native distributed SQL database

PingCAP develops TiDB, a MySQL-compatible distributed SQL database designed for high availability and horizontal scalability. The platform enables real-time processing of large-scale data across diverse workloads.

Best for engineering teams building AI applications
84.0
10

StreamNative

A shared data architecture for the age of AI

StreamNative provides a shared data architecture for the age of AI. It keeps business context continuously available to applications and agents.

Best for platform and infrastructure teams
84.0
Not on this ranking?

Positions 1, 2 and 3 are available to buy for twelve months.

Frequently asked questions

What is the best Open-source cloud data warehouses?

Meltano ranks first on Lister. Meltano is an open-source platform for data integration that powers analytics and AI. It allows teams to own their pipelines in code they control from day one.

What are the top 10 Open-source cloud data warehouses?

1. Meltano; 2. Cloudera; 3. CrateDB; 4. Databend; 5. Databricks; 6. dbt Labs; 7. Airbyte; 8. Firebolt; 9. PingCAP; 10. StreamNative.

Are there free options for Open-source cloud data warehouses?

No free option is confirmed in the recorded pricing for this ranking. Check each provider's pricing page for current plans and trials.

Who are these open-source cloud data warehouses built for?

Meltano says it is built for Data engineers, and CrateDB for real-time industrial analytics. Databend says it is built for teams seeking a serverless cloud data warehouse, and Databricks for Data and AI teams.

What should a buyer check before signing up?

Meltano states that Meltano Open requires a dedicated DevOps crew for production use. Those are the limits each product publishes itself, not a full account of any plan.

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