DBMS > OpenSearch vs. OpenTenBase vs. RocksDB

System Properties Comparison OpenSearch vs. OpenTenBase vs. RocksDB

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Editorial information provided by DB-Engines

Name

Description

A distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene

An enterprise-level distributed HTAP open source database based on PostgreSQL

Embeddable persistent key-value store optimized for fast storage (flash and RAM)

Primary database model

Search engine
Vector DBMS

Relational DBMS

Key-value store

Secondary database models

Vector DBMS

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

Score	16.97
Rank	#32	Overall
	#4	Search engines
	#2	Vector DBMS

Score	0.00
Rank	#390	Overall
	#157	Relational DBMS

Score	3.15
Rank	#82	Overall
	#11	Key-value stores

Website

github.com/opensearch-project
opensearch.org

github.com/OpenTenBase/OpenTenBase
www.opentenbase.org

rocksdb.org

Technical documentation

opensearch.org/docs/latest

docs.opentenbase.org
docs.opentenbase.org/en

github.com/facebook/rocksdb/wiki

Developer

The OpenSearch Software Foundation

OpenAtom Foundation, previously Tencent

Facebook, Inc.

Initial release

2021

2013

Current release

2.19, February 2025

2.5, January 2024

9.4.0, June 2024

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

BSD-3

Open Source

BSD

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.

STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.

Implementation language

Java

C++

Server operating systems

All OS with a Java VM

Linux

Data scheme

schema-free

Flexible type definitions. Once a type is defined, it is persistent

yes

schema-free

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

All search fields are automatically indexed

yes

SQL

Support of SQL

SQL-like query language

yes

APIs and other access methods

Java API
RESTful HTTP/JSON API

C++ API
Java API

Supported programming languages

Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

Elasticsearch client

C
Go
Java
PHP
Python

C
C++
Go
Java
Perl
Python
Ruby

Server-side scripts

Stored procedures

yes

Triggers

yes

by using the 'percolation' feature

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

yes

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

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

yes

User concepts

Access control

Access rights for users, groups and roles according to SQL-standard

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More resources

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