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  1. Stackups
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  4. Databases
  5. RocksDB vs Tokudb

RocksDB vs Tokudb

OverviewComparisonAlternatives

Overview

RocksDB
RocksDB
Stacks141
Followers290
Votes11
GitHub Stars30.9K
Forks6.6K
Tokudb
Tokudb
Stacks3
Followers3
Votes0
GitHub Stars661
Forks129

RocksDB vs Tokudb: What are the differences?

Introduction: RocksDB and TokuDB are two popular storage engines often compared in terms of performance and features. Below are the key differences between RocksDB and TokuDB.

1. Data Compression: RocksDB utilizes a compression algorithm called LZ4 for data compression, which can significantly reduce storage requirements. In contrast, TokuDB offers Fractal Tree indexes that inherently compress the data, leading to a smaller disk footprint.

2. Write Amplification: RocksDB employs an LSM (Log-Structured Merge) tree architecture, which can result in higher write amplification compared to TokuDB's B-Tree approach. This can impact the overall write performance in scenarios with intensive write workloads.

3. Transaction Support: TokuDB provides full ACID compliance with multi-version concurrency control, supporting transactions at the row level. RocksDB, on the other hand, lacks built-in support for transactions and requires external handling through its API.

4. Storage Engine: RocksDB is primarily designed as an embedded storage engine, commonly used in systems like LevelDB and Apache Cassandra, while TokuDB is typically used as a plugin storage engine for MySQL and MariaDB, offering additional features like hot schema changes.

5. Performance Tuning: RocksDB offers more configuration options and tuning knobs for optimizing performance, allowing users to fine-tune parameters based on specific use cases. TokuDB simplifies performance optimization by automatically adjusting settings based on workload characteristics.

6. Open Source vs. Commercial: RocksDB is an open-source project maintained by Facebook, providing transparency and flexibility for developers to contribute and customize the code as needed. In contrast, TokuDB is a commercial product offered by Percona, requiring licensing for certain production use cases.

In Summary, RocksDB and TokuDB differ in data compression, write amplification, transaction support, storage engine usage, performance tuning options, and licensing models.

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Detailed Comparison

RocksDB
RocksDB
Tokudb
Tokudb

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.

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.

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
Fast and scalable service; Better performance; Stronger ROI; Higher availability
Statistics
GitHub Stars
30.9K
GitHub Stars
661
GitHub Forks
6.6K
GitHub Forks
129
Stacks
141
Stacks
3
Followers
290
Followers
3
Votes
11
Votes
0
Pros & Cons
Pros
  • 5
    Very fast
  • 3
    Made by Facebook
  • 2
    Consistent performance
  • 1
    Ability to add logic to the database layer where needed
No community feedback yet
Integrations
No integrations available
MySQL
MySQL
MariaDB
MariaDB

What are some alternatives to RocksDB, Tokudb?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

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.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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