DBMS > MarkLogic vs. OpenSearch vs. OpenTenBase

System Properties Comparison MarkLogic vs. OpenSearch vs. OpenTenBase

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Editorial information provided by DB-Engines

Name

Description

Operational and transactional Enterprise NoSQL database

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

Primary database model

Document store
Native XML DBMS
RDF store

as of version 7
Search engine

Search engine
Vector DBMS

Relational DBMS

Secondary database models

Vector DBMS

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

Score	4.13
Rank	#66	Overall
	#11	Document stores
	#1	Native XML DBMS
	#1	RDF stores
	#8	Search engines

Score	17.19
Rank	#32	Overall
	#4	Search engines
	#2	Vector DBMS

Score	0.00
Rank	#382	Overall
	#155	Relational DBMS

Website

www.progress.com/marklogic

github.com/opensearch-project
opensearch.org

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

Technical documentation

www.progress.com/marklogic/documentation

opensearch.org/docs/latest

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

Developer

MarkLogic Corp.

The OpenSearch Software Foundation

OpenAtom Foundation, previously Tencent

Initial release

2001

2021

Current release

11.0, December 2022

2.19, February 2025

2.5, January 2024

License

Commercial or Open Source

commercial

restricted free version is available

Open Source

Apache Version 2.0

Open Source

BSD-3

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.

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Implementation language

C++

Java

Server operating systems

Linux
OS X
Windows

All OS with a Java VM

Linux

Data scheme

schema-free

Schema can be enforced

schema-free

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

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.

yes

Secondary indexes

yes

All search fields are automatically indexed

yes

SQL

Support of SQL

yes

SQL92

SQL-like query language

yes

APIs and other access methods

Java API
Node.js Client API
ODBC
proprietary Optic API

Proprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT

Java API
RESTful HTTP/JSON API

Supported programming languages

C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby

Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

Elasticsearch client

C
Go
Java
PHP
Python

Server-side scripts

Stored procedures

yes

via XQuery or JavaScript

yes

Triggers

yes

by using the 'percolation' feature

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

via Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

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

can act as a resource manager in an XA/JTA transaction

ACID

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, with Range Indexes

User concepts

Access control

Role-based access control at the document and subdocument levels

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

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More resources

Recent citations in the news

Progress Brings Industry Leaders Together to Share Insights on AI and Data at MarkLogic World Tour US 2024
18 September 2024, GlobeNewswire

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23 January 2025, GlobeNewswire

Vector Capital Completes Acquisition of MarkLogic
21 October 2020, Business Wire

PROGRESS SOFTWARE CORP /MA SEC 10-Q Report
8 October 2024, TradingView

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