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YugabyteDB System Properties

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Editorial information provided by DB-Engines

Name

Description

High-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.

Primary database model

Relational DBMS

Secondary database models

Document store
Wide column store

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

Score	2.20
Rank	#115	Overall
	#55	Relational DBMS

Website

www.yugabyte.com

Technical documentation

docs.yugabyte.com
github.com/yugabyte/yugabyte-db

Developer

Yugabyte Inc.

Initial release

2017

Current release

2024.2, December 2024

License

Commercial or Open Source

Open Source

Apache 2.0

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 and C++

Server operating systems

Linux
OS X

Data scheme

depending on used data model

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, PostgreSQL compatible

APIs and other access methods

JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL

Supported programming languages

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

Server-side scripts

Stored procedures

yes

sql, plpgsql, C

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Hash and Range Sharding, row-level geo-partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Based on Raft distributed consensus protocol, minimum 3 replicas for continuous availability

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Strong consistency on writes and tunable consistency on reads

Foreign keys

Referential integrity

yes

Transaction concepts

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

Distributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

based on RocksDB

In-memory capabilities

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

User concepts

Access control

yes

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More resources

Recent citations in the news

YugabyteDB Unveils First Agentic AI Application and Extensible Vector Search For Deploying AI at Scale
8 April 2025, Business Wire

Every Microsecond Counts: YugabyteDB Boosts Performance with Amazon Time Sync | Amazon Web Services
17 February 2025, Amazon Web Services (AWS)

YugabyteDB’s Distributed SQL Summit, Co-located with KubeCon North America, Highlights Advancements in PostgreSQL and AI
16 October 2025, Yahoo Finance

ACID-Compliant Distributed SQL Enters the Agentic AI Era
12 May 2025, The New Stack

Can Yugabyte Become The Defacto Database For Large-Scale, Cloud Native Applications?
19 May 2022, Forbes

provided by Google News

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