Alternatives / Snowflake

10 Best Open Source Snowflake Alternatives in 2026

Looking for an open source Snowflake alternative? We compared 10 open source analytical databases, data warehouses, and data tools by license, self-hosting, performance, and pricing. They range from columnar OLAP engines to semantic layers, ELT tools, and collaborative notebooks.

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Written by Maxime DERAME

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Best Snowflake alternatives at a glance

AlternativeBest forLicense
ClickHouseReal-time analytics on massive datasetsApache-2.0
TimescaleDBTime-series on PostgreSQLApache-2.0 + Timescale License
CubeSemantic layer for analyticsApache-2.0 / MIT
Apache DruidStreaming analytics with fast queriesApache-2.0
DatabendCloud-native data warehouseApache-2.0 + Elastic (EE)
Deep Lake (Activeloop)Unstructured and AI dataApache-2.0
CloudQueryELT from cloud and security toolsMPL-2.0
CrateDBIoT and log analyticsApache-2.0
DeepnoteCollaborative notebooksApache-2.0
Apache CloudberryGreenplum-style MPP analyticsApache-2.0

How we chose these Snowflake alternatives

We looked for open-source projects that cover parts of what Snowflake does: storing and querying large analytical datasets, ingesting data, and modeling and exploring it. We verified each project's license, recent activity, stars, and self-hosting in its repository. Snowflake is a managed cloud data platform, so the list mixes databases, a semantic layer, an ELT tool, and a notebook, and we flag licenses that are source available or open core. See our methodology for the full criteria.

Important: these cover different layers of the data stack

ClickHouse, Apache Druid, Databend, CrateDB, TimescaleDB, and Apache Cloudberry are analytical databases. Cube is a semantic layer that sits on top of databases, CloudQuery is an ELT tool that moves data into them, Deepnote is a notebook for exploring data, and Deep Lake stores AI data. No single tool replaces Snowflake's fully managed, all-in-one experience.

Closest warehouse alternatives

ClickHouse is the most popular open-source analytical database, with columnar storage and very fast queries. Databend is a cloud-native data warehouse built in Rust on object storage, Apache Cloudberry is an MPP database descended from Greenplum, and Apache Druid targets real-time analytics on streaming data.

License details

ClickHouse, Apache Druid, Apache Cloudberry, CrateDB, Deepnote, and Deep Lake are Apache-2.0, Cube is Apache-2.0 and MIT, and CloudQuery is MPL-2.0. TimescaleDB is Apache-2.0 outside its tsl directory, which is under the source-available Timescale License and includes features such as compression and continuous aggregates. Databend is Apache-2.0 except for enterprise files under the Elastic License.

Operating them yourself

All ten can be self-hosted, and several offer managed cloud services. Running a distributed analytical database means handling storage, scaling, upgrades, and backups, so teams without data engineers may prefer the vendors' hosted offerings.

Maintenance status

All ten projects were updated within days or weeks of this update, with Deep Lake's last commit in May 2026.

Why look for a Snowflake alternative?

Snowflake is a proprietary managed data warehouse billed by compute and storage, which can become expensive and ties data to its platform. Open-source alternatives let you run analytics on your own infrastructure or cloud account, avoid usage-based pricing, use open formats and standard SQL, and avoid lock-in, at the cost of operating the system and assembling the surrounding tools.

#1

ClickHouse

Fast columnar database for real-time analytics.

ClickHouse is a high-performance columnar OLAP database for real-time analytics on big data, with SQL and analytical extensions, real-time ingestion, data compression, replication, and sharding, and it can query billions of rows in seconds.

50.2K9KApache-2.0Self-hosted

Pricing: Free open source; ClickHouse Cloud is paid.

  • Extremely fast analytical queries
  • Compression, replication, and sharding
  • Large community and ecosystem
  • Not designed for transactional workloads
  • Operating clusters takes expertise
#2

TimescaleDB

PostgreSQL extension for time-series data.

TimescaleDB is a PostgreSQL extension for time-series data with automatic partitioning, hybrid row and columnar storage, compression of up to 95 percent, continuous aggregates, and about 200 time-series SQL functions. Code outside its tsl directory is Apache-2.0, and the tsl directory is under the source-available Timescale License.

23.6K1.2KApache-2.0 + Timescale LicenseSelf-hosted

Pricing: Free community edition; managed cloud is paid.

  • Fully PostgreSQL compatible
  • Strong compression and continuous aggregates
  • Many time-series functions
  • Some features use the source-available Timescale License
  • Time-series focused rather than a general warehouse
#3

Cube

Universal semantic layer for analytics.

Cube is a semantic layer that connects data sources to analytics tools with consistent definitions, caching and pre-aggregations, REST, GraphQL, SQL, and MDX APIs, and row-level and column-level security, using a code-first approach with many databases.

20.9K2.1KApache-2.0 / MITSelf-hosted

Pricing: Free open-source core; Cube Cloud is paid.

  • Consistent metrics across tools
  • Caching and pre-aggregations speed up queries
  • Works with Postgres, BigQuery, Snowflake, and more
  • A layer on top of a database, not a warehouse
  • Some features are limited to Cube Cloud
#4

Apache Druid

Real-time analytics database for streaming and batch data.

Apache Druid is a columnar, time-indexed analytics database for streaming and batch data, handling billions to trillions of rows with millisecond queries, native Kafka and Kinesis ingestion, and automatic schema discovery.

14.1K3.8KApache-2.0Self-hosted

Pricing: Free and open source.

  • Fast concurrent queries on streaming data
  • Native Kafka and Kinesis ingestion
  • Apache Software Foundation project
  • Complex to deploy and operate
  • Less suited to ad hoc joins than a warehouse
#5

Databend

Open-source cloud-native data warehouse built in Rust.

Databend is an open-source elastic cloud data warehouse built in Rust with SQL support, time travel, native AI capabilities, vector and full-text search, role-based access, and object storage. The repository is Apache-2.0 except for enterprise files under the Elastic License.

9.5K901Apache-2.0 + Elastic (EE)Self-hosted

Pricing: Free community edition; pay-as-you-go cloud.

  • Warehouse built on object storage with time travel
  • SQL with vector and full-text search
  • Self-hosted or managed cloud
  • Enterprise files use the Elastic License
  • Smaller ecosystem than ClickHouse
#6

Deep Lake (Activeloop)

Database for AI data such as images, audio, and embeddings.

Deep Lake from Activeloop stores, queries, and versions complex AI data such as images, audio, and embeddings, with tensor storage, vector search, SQL-like querying, Git-like versioning, and streaming to ML frameworks.

9.2K726Apache-2.0Self-hosted

Pricing: Free and open source; managed cloud plans are paid.

  • Built for multimodal ML data and vector search
  • Versioning and streaming to ML frameworks
  • Apache-2.0 license
  • A specialized AI data store, not a general application database
  • Last commit in May 2026
#7

CloudQuery

Open-source ELT platform for cloud and security data.

CloudQuery is an ELT platform that syncs data from hundreds of cloud and security tools into many destinations, with high-performance columnar streaming, a custom connector SDK, and no external dependencies.

6.5K562MPL-2.0Self-hosted

Pricing: Free open source; paid cloud and enterprise plans.

  • Hundreds of source integrations
  • Custom connector SDK
  • Good for cloud asset and security data
  • Not a database or warehouse
  • Some connectors and features are paid
#8

CrateDB

Distributed SQL database for IoT and time-series analytics.

CrateDB is a distributed SQL database for high-speed ingestion and complex queries on large datasets, with horizontal scalability, time-series optimization, Lucene-based full-text search, and geospatial support, suited to IoT and log analytics.

4.4K618Apache-2.0Self-hosted

Pricing: Free open source; managed cloud and enterprise support are paid.

  • Real-time analytics with SQL and full-text search
  • Horizontal scalability
  • Apache-2.0 license
  • Smaller community than ClickHouse
  • Cluster operation needs expertise
#9

Deepnote

Collaborative notebook for Python, SQL, and AI.

Deepnote is a collaborative data notebook combining Python, SQL, and R with AI assistance, real-time collaboration, dashboards and data apps, scheduled notebooks, and API deployment, available in the cloud and as a VS Code extension.

3K199Apache-2.0Self-hosted

Pricing: Free open source with cloud upgrades available.

  • Real-time collaboration with SQL and Python
  • AI codebase awareness
  • Apache-2.0 license
  • A notebook, not a data warehouse
  • Hosted cloud features are paid
#10

Apache Cloudberry

MPP analytics database based on PostgreSQL and Greenplum.

Apache Cloudberry is a massively parallel processing database for large-scale analytics and AI and ML workloads, built on a modern PostgreSQL kernel and compatible with Greenplum Database, with migration tools.

1.4K256Apache-2.0Self-hosted

Pricing: Free and open source.

  • PostgreSQL-based with Greenplum compatibility
  • Apache Software Foundation project
  • Suited to large analytical workloads
  • Young project with a smaller community
  • Needs experienced operation

Compare Snowflake alternatives

AlternativeTypeLicenseSelf-hostedBest for
ClickHouseColumnar OLAP databaseApache-2.0YesReal-time analytics
TimescaleDBTime-series on PostgreSQLApache-2.0 + Timescale LicenseYesMetrics and sensor data
CubeSemantic layerApache-2.0 / MITYesConsistent metrics
Apache DruidReal-time analytics databaseApache-2.0YesStreaming analytics
DatabendCloud data warehouseApache-2.0 + Elastic (EE)YesCost-effective warehousing
Deep Lake (Activeloop)AI data databaseApache-2.0YesML data
CloudQueryELT platformMPL-2.0YesCloud and security data
CrateDBDistributed SQLApache-2.0YesIoT and logs
DeepnoteNotebookApache-2.0YesCollaborative analysis
Apache CloudberryMPP databaseApache-2.0YesGreenplum migration

Which one should you choose?

Want fast analytics on huge datasets

ClickHouse offers columnar storage, compression, replication, sharding, and billion-row queries in seconds under Apache-2.0.

ClickHouse

Want a cloud-native open-source warehouse

Databend is a Rust data warehouse on object storage with SQL, time travel, and vector search, though enterprise files use the Elastic License.

Databend

Have time-series or metrics data in PostgreSQL

TimescaleDB adds partitioning, compression, and continuous aggregates to PostgreSQL, with some features under the Timescale License.

TimescaleDB

Need real-time analytics on streams

Apache Druid ingests streaming data from Kafka and Kinesis with time-indexed columnar storage and millisecond queries.

Apache Druid

Want a consistent metrics layer across BI tools

Cube defines metrics once in code and serves them through REST, GraphQL, SQL, and MDX APIs with caching and security.

Cube

Need to load data from many cloud sources

CloudQuery syncs data from hundreds of cloud and security tools into many destinations with a connector SDK.

CloudQuery

Migrate from Greenplum

Apache Cloudberry is a PostgreSQL-based MPP database compatible with Greenplum, with migration tools.

Apache Cloudberry

Want collaborative analysis notebooks

Deepnote combines Python, SQL, and AI assistance with real-time collaboration, dashboards, and scheduled notebooks.

Deepnote