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  1. Stackups
  2. Application & Data
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  4. Databases
  5. CockroachDB vs RocksDB

CockroachDB vs RocksDB

OverviewComparisonAlternatives

Overview

RocksDB
RocksDB
Stacks141
Followers290
Votes11
GitHub Stars30.9K
Forks6.6K
CockroachDB
CockroachDB
Stacks216
Followers341
Votes0

CockroachDB vs RocksDB: What are the differences?

Key Differences between CockroachDB and RocksDB

CockroachDB and RocksDB are both widely used for database management, but they have some key differences.

  1. Storage Model: CockroachDB is a distributed SQL database that offers horizontal scalability, high availability, and strong consistency. It uses a distributed storage model that partitions data across multiple nodes for redundancy and fault tolerance. On the other hand, RocksDB is an embedded key-value store that is typically used as a storage engine for other databases. It is optimized for high read and write performance but does not provide built-in distributed capabilities.

  2. Data Model: CockroachDB supports a relational data model and offers features like ACID transactions, SQL queries, and indexes. It allows developers to model complex relationships between data and enforce constraints. In contrast, RocksDB is a key-value store that offers a simpler data model. It stores data as key-value pairs and does not have built-in support for complex queries or data relationships.

  3. Scalability: CockroachDB is designed to scale horizontally, meaning it can handle increased workloads by adding more nodes to the cluster. It automatically distributes data across nodes and provides built-in mechanisms for load balancing and fault tolerance. RocksDB, on the other hand, is typically used as a single-node storage engine and does not provide built-in distributed scalability.

  4. Consistency: CockroachDB guarantees strong consistency, meaning that all clients see the same snapshot of data at any given point in time. It ensures that transactions are isolated and follow the acid properties. In contrast, RocksDB does not provide built-in support for strong consistency guarantees. It can be used as a storage engine for databases that implement their own consistency models.

  5. Query Language: CockroachDB uses SQL as its query language, which provides a familiar and powerful interface for developers. It supports complex queries, joins, aggregations, and indexing. RocksDB does not have a built-in query language. It is often used as a storage engine for databases that provide their own query languages.

  6. Community and Ecosystem: CockroachDB has a growing community of users and contributors and is backed by a dedicated company, Cockroach Labs. It has a wide range of integrations, tools, and extensions that enhance its functionality. RocksDB is an open-source project maintained primarily by Facebook. It has a dedicated developer community and is used by various databases and applications as a storage engine.

In Summary, CockroachDB is a distributed SQL database with a relational data model, strong consistency guarantees, and scalability. RocksDB, on the other hand, is an embedded key-value store optimized for high performance but lacks distributed capabilities and a built-in query language.

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Detailed Comparison

RocksDB
RocksDB
CockroachDB
CockroachDB

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.

CockroachDB is distributed SQL database that can be deployed in serverless, dedicated, or on-prem. Elastic scale, multi-active availability for resilience, and low latency performance.

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
sql; high availability; fast; acid;
Statistics
GitHub Stars
30.9K
GitHub Stars
-
GitHub Forks
6.6K
GitHub Forks
-
Stacks
141
Stacks
216
Followers
290
Followers
341
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

What are some alternatives to RocksDB, CockroachDB?

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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