DBMS > CockroachDB vs. Drizzle vs. VoltDB

System Properties Comparison CockroachDB vs. Drizzle vs. VoltDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.

Description

CockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.

MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.

Distributed In-Memory NewSQL RDBMS

Used for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory

Primary database model

Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	3.90
Rank	#68	Overall
	#36	Relational DBMS

Score	1.21
Rank	#164	Overall
	#74	Relational DBMS

Website

www.cockroachlabs.com

www.voltdb.com

Technical documentation

www.cockroachlabs.com/docs

docs.voltdb.com

Developer

Cockroach Labs

Drizzle project, originally started by Brian Aker

VoltDB Inc.

Initial release

2015

2008

2010

Current release

24.1.0, May 2024

7.2.4, September 2012

11.3, April 2022

License

Commercial or Open Source

Open Source

Apache 2.0, commercial license available

Open Source

GNU GPL

Open Source

AGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

Java, C++

Server operating systems

Linux
macOS
Windows

FreeBSD
Linux
OS X

Linux
OS X

for development

Data scheme

dynamic schema

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

yes, wire compatible with PostgreSQL

yes

with proprietary extensions

yes

only a subset of SQL 99

APIs and other access methods

JDBC

Java API
JDBC
RESTful HTTP/JSON API

Supported programming languages

C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust

C
C++
Java
PHP

C#
C++
Erlang

not officially supported
Go
Java
JavaScript

Node.js
PHP
Python

Server-side scripts

Stored procedures

Java

Triggers

hooks for callbacks inside the server can be used.

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning (by key range)

all tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFT

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication using RAFT

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

FOREIGN KEY constraints are not supported

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Transactions are executed single-threaded within stored procedures

Concurrency

Support for concurrent manipulation of data

yes

Data access is serialized by the server

Durability

Support for making data persistent

yes

Snapshots and command logging

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

User concepts

Access control

Role-based access control

Pluggable authentication mechanisms

e.g. LDAP, HTTP

Users and roles with access to stored procedures

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

MySQL won the April ranking; did its forks follow?
1 April 2015, Paul Andlinger

Has MySQL finally lost its mojo?
1 July 2013, Matthias Gelbmann

show all

Recent citations in the news

IBM Expands Its Hybrid Cloud and AI Capabilities with CockroachDB Integration
7 May 2025, TipRanks

Cockroach Labs Brings Distributed SQL to IBM LinuxONE and Linux on IBM Z
7 May 2025, StreetInsider

Cockroach Labs Brings Distributed SQL to IBM LinuxONE and Linux on IBM Z
7 May 2025, Longview News-Journal

Cockroach Labs shakes up its licensing to force bigger companies to pay
15 August 2024, TechCrunch

AI Meets Resilience: Cockroach Labs Intros CockroachDB 24.2
2 October 2024, Channel Insider

provided by Google News

VoltDB Launches Active(N) Lossless Cross Data Center Replication
31 August 2021, PR Newswire

VoltDB Announces Key New Hires
26 October 2021, citybiz

MemSQL, VoltDB Vie For In-Memory Big Data Role
12 February 2015, InformationWeek

VoltDB Adds Geospatial Support to Its Operational InMemory SQL Database
30 January 2016, App Developer Magazine

VoltDB and Google Cloud are working together on 5G Edge Applications
28 June 2021, AiThority

provided by Google News

Share this page