Search the seas for your lost treasure.
409
stars
6,979
commits
Python
primary language
Sep 8, 2026
updated
.. image:: https://github.com/getsentry/snuba/raw/master/snuba/admin/dist/snuba.svg
:width: 280
Snuba is a service that provides a rich data model on top of Clickhouse
together with a fast ingestion consumer and a query optimizer.
Snuba was originally developed to replace a combination of Postgres and
Redis to search and provide aggregated data on Sentry errors.
Since then it has evolved into the current form where it supports most
time series related Sentry features over several data sets.
Click `here <https://getsentry.github.io/snuba/>`_ for the full documentation.
Features:
---------
- Provides a database access layer to the Clickhouse distributed data store.
- Provides a graph logical data model the client can query through the SnQL language which provides functionalities similar to those of SQL.
- Support multiple separate data sets in a single installation.
- Provides a rule based query optimizer.
- Provides a migration system to apply DDL changes to Clickhouse both in a single node and distributed environment.
- Ingest data directly from Kafka
- Supports both point in time queries and streaming queries.
Not written in Markdown, so it's shown here as plain text — view it formatted on GitHub.
Python
89.2%
Rust
6.3%
TypeScript
4.1%
Search the seas for your lost treasure.
409
stars
6,979
commits
Python
primary language
Sep 8, 2026
updated
.. image:: https://github.com/getsentry/snuba/raw/master/snuba/admin/dist/snuba.svg
:width: 280
Snuba is a service that provides a rich data model on top of Clickhouse
together with a fast ingestion consumer and a query optimizer.
Snuba was originally developed to replace a combination of Postgres and
Redis to search and provide aggregated data on Sentry errors.
Since then it has evolved into the current form where it supports most
time series related Sentry features over several data sets.
Click `here <https://getsentry.github.io/snuba/>`_ for the full documentation.
Features:
---------
- Provides a database access layer to the Clickhouse distributed data store.
- Provides a graph logical data model the client can query through the SnQL language which provides functionalities similar to those of SQL.
- Support multiple separate data sets in a single installation.
- Provides a rule based query optimizer.
- Provides a migration system to apply DDL changes to Clickhouse both in a single node and distributed environment.
- Ingest data directly from Kafka
- Supports both point in time queries and streaming queries.
Not written in Markdown, so it's shown here as plain text — view it formatted on GitHub.
(top 30 of 153)
Python
89.2%
Rust
6.3%
TypeScript
4.1%