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RocksDB

98
226
+ 1
11
Tokudb

3
3
+ 1
0
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RocksDB vs Tokudb: 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; Tokudb: Open source, high-performance storage engine for Percona Server. It is an open-source, high-performance storage engine for MySQL and MariaDB. It achieves this by using a fractal tree index. It is scalable, ACID and MVCC compliant, provides indexing-based query improvements, offers online schema modifications, and reduces slave lag for both hard disk drives and flash memory.

RocksDB and Tokudb can be categorized 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, Tokudb provides the following key features:

  • Fast and scalable service
  • Better performance
  • Stronger ROI

RocksDB and Tokudb are both open source tools. RocksDB with 17.1K GitHub stars and 3.86K forks on GitHub appears to be more popular than Tokudb with 609 GitHub stars and 111 GitHub forks.

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Pros of RocksDB
Pros of Tokudb
  • 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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    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.

    What is Tokudb?

    It is an open-source, high-performance storage engine for MySQL and MariaDB. It achieves this by using a fractal tree index. It is scalable, ACID and MVCC compliant, provides indexing-based query improvements, offers online schema modifications, and reduces slave lag for both hard disk drives and flash memory.

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    What companies use RocksDB?
    What companies use Tokudb?
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    What tools integrate with RocksDB?
    What tools integrate with Tokudb?

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    Blog Posts

    Jan 26 2022 at 4:34AM

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    What are some alternatives to RocksDB and Tokudb?
    Redis
    Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
    Cassandra
    Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
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    Aerospike
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