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PipelineDB

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RocksDB

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11
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RocksDB vs PipelineDB: What are the differences?

RocksDB: Embeddable persistent key-value store for fast storage, developed and maintained by Facebook Database Engineering Team. RocksDB is an embeddable persistent key-value store for fast storage. RocksDB can also be the foundation for a client-server database but our current focus is on embedded workloads. RocksDB builds on LevelDB to be scalable to run on servers with many CPU cores, to efficiently use fast storage, to support IO-bound, in-memory and write-once workloads, and to be flexible to allow for innovation; PipelineDB: The Streaming SQL Database. PipelineDB is an open-source relational database that runs SQL queries continuously on streams, incrementally storing results in tables.

RocksDB and PipelineDB can be primarily classified as "Databases" tools.

Some of the features offered by RocksDB are:

  • Designed for application servers wanting to store up to a few terabytes of data on locally attached Flash drives or in RAM
  • Optimized for storing small to medium size key-values on fast storage -- flash devices or in-memory
  • Scales linearly with number of CPUs so that it works well on ARM processors

On the other hand, PipelineDB provides the following key features:

  • No Application Code
  • Runs on PostgreSQL
  • Eliminate ETL

RocksDB is an open source tool with 16K GitHub stars and 3.59K GitHub forks. Here's a link to RocksDB's open source repository on GitHub.

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Pros of PipelineDB
Pros of RocksDB
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    • 5
      Very fast
    • 3
      Made by Facebook
    • 2
      Consistent performance
    • 1
      Ability to add logic to the database layer where needed

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    - No public GitHub repository available -

    What is PipelineDB?

    PipelineDB is an open-source relational database that runs SQL queries continuously on streams, incrementally storing results in tables.

    What is RocksDB?

    RocksDB is an embeddable persistent key-value store for fast storage. RocksDB can also be the foundation for a client-server database but our current focus is on embedded workloads. RocksDB builds on LevelDB to be scalable to run on servers with many CPU cores, to efficiently use fast storage, to support IO-bound, in-memory and write-once workloads, and to be flexible to allow for innovation.

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    What companies use PipelineDB?
    What companies use RocksDB?
    See which teams inside your own company are using PipelineDB or RocksDB.
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    What tools integrate with PipelineDB?
    What tools integrate with RocksDB?

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    Blog Posts

    Jan 26 2022 at 4:34AM

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