BemiDB icon
BemiDB icon

BemiDB

BemiDB offers zero-ETL cloud analytics for Postgres. Experience fast, scalable analytics with 1-click data sync, full Postgres compatibility, and open data storage.

BemiDB screenshot 1

Cost / License

  • Free
  • Open Source

Platforms

  • Self-Hosted
  • PostgreSQL
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Features

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  1. PostgreSQL icon  PostgreSQL support
  2.  Data analytics

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BemiDB information

  • Developed by

    US flagBemi Technologies, Inc.
  • Licensing

    Open Source (AGPL-3.0) and Free product.
  • Written in

  • Alternatives

    11 alternatives listed
  • Supported Languages

    • English

GitHub repository

  •  1,486 Stars
  •  43 Forks
  •  11 Open Issues
  •   Updated  
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BemiDB was added to AlternativeTo by Paul on and this page was last updated .
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What is BemiDB?

BemiDB is a Postgres read replica optimized for analytics. It consists of a single binary that seamlessly connects to a Postgres database, replicates the data in a compressed columnar format, and allows you to run complex queries using its Postgres-compatible analytical query engine.

Highlights

  • Performance: runs analytical queries up to 2000x faster than Postgres.
  • Single Binary: consists of a single binary that can be run on any machine.
  • Postgres Replication: automatically syncs data from Postgres databases.
  • Compressed Data: uses an open columnar format for tables with 4x compression.
  • Scalable Storage: storage is separated from compute and can natively work on S3.
  • Query Engine: embeds a query engine optimized for analytical workloads.
  • Postgres-Compatible: integrates with any services and tools in the Postgres ecosystem.
  • Open-Source: released under an OSI-approved license.

Use cases

  • Run complex analytical queries like it's your Postgres database. Without worrying about performance impact and indexing.
  • Simplify your data stack down to a single binary. No complex setup, no data movement, no CDC, no ETL, no DW.
  • Integrate with Postgres-compatible tools and services. Query and visualize data with BI tools, notebooks, and ORMs.
  • Have all data automatically synced into your data lakehouse. Using Iceberg tables with Parquet data on object storage.

Official Links