DBMS > OpenSearch vs. Splice Machine vs. YottaDB

System Properties Comparison OpenSearch vs. Splice Machine vs. YottaDB

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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

Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark

A fast and solid embedded Key-value store

Primary database model

Search engine
Vector DBMS

Relational DBMS

Key-value store

Secondary database models

Vector DBMS

Relational DBMS

using the Octo plugin

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	0.54
Rank	#239	Overall
	#112	Relational DBMS

Score	0.19
Rank	#312	Overall
	#47	Key-value stores

Website

github.com/opensearch-project
opensearch.org

splicemachine.com

yottadb.com

Technical documentation

opensearch.org/docs/latest

splicemachine.com/how-it-works

yottadb.com/resources/documentation

Developer

The OpenSearch Software Foundation

Splice Machine

YottaDB, LLC

Initial release

2021

2014

2001

Current release

2.19, February 2025

3.1, March 2021

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

AGPL 3.0, commercial license available

Open Source

AGPL 3.0

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.

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

Server operating systems

All OS with a Java VM

Linux
OS X
Solaris
Windows

Docker
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

by using the Octo plugin

APIs and other access methods

Java API
RESTful HTTP/JSON API

JDBC
Native Spark Datasource
ODBC

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

Elasticsearch client

C#
C++
Java
JavaScript (Node.js)
Python
R
Scala

C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust

Server-side scripts

Stored procedures

yes

Java

Triggers

yes

by using the 'percolation' feature

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Shared Nothhing Auto-Sharding, Columnar Partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-source replication
Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Yes, via Full Spark Integration

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

optimistic locking

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

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

Users and groups based on OS-security mechanisms

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More resources

Recent citations in the news

Introducing vector search with UltraWarm in Amazon OpenSearch Service
20 March 2025, AWS Blog

Introducing Amazon OpenSearch Service and Amazon Security Lake integration to simplify security analytics
1 December 2024, AWS Blog

Improve search results for AI using Amazon OpenSearch Service as a vector database with Amazon Bedrock
21 February 2025, AWS Blog

Cost Optimized Vector Database: Introduction to Amazon OpenSearch Service quantization techniques
9 January 2025, AWS Blog

Amazon OpenSearch Service launches the next-generation OpenSearch UI
7 November 2024, AWS Blog

provided by Google News

Machine learning data pipeline outfit Splice Machine files for insolvency
26 August 2021, The Register

Splice Machine 3.0 integrates machine learning capabilities, database
6 March 2020, TechTarget

Splice Machine SQL Database Scales On Hadoop
19 May 2014, InformationWeek

Splice Machine Launches Its Own Online Predictive Processing Platform
2 January 2018, eWeek

Monte Zweben's Splice Machine Introduces New Hadoop RDBMS
24 June 2014, Forbes

provided by Google News

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