DBMS > Elasticsearch vs. Manticore Search vs. RDF4J

System Properties Comparison Elasticsearch vs. Manticore Search vs. RDF4J

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

A distributed, RESTful modern search and analytics engine based on Apache Lucene

Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric

Multi-storage database for search, including full-text search.

RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.

Primary database model

Search engine

RDF store

Secondary database models

Document store
Spatial DBMS

Time Series DBMS

using the Manticore Columnar Library

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

Score	155.08
Rank	#8	Overall
	#1	Search engines

Score	0.11
Rank	#316	Overall
	#20	Search engines

Score	0.77
Rank	#203	Overall
	#9	RDF stores

Website

www.elastic.co/elasticsearch

manticoresearch.com

rdf4j.org

Technical documentation

www.elastic.co/guide/en/elasticsearch/reference/current/index.html

manual.manticoresearch.com

rdf4j.org/documentation

Developer

Elastic

Manticore Software

Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.

Initial release

2010

2017

2004

Current release

7.8.0, June 2020

4.2, December 2021

License

Commercial or Open Source

Open Source

Elastic License

Open Source

GPL version 2

Open Source

Eclipse Distribution License (EDL), v1.0.

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

Java

C++

Java

Server operating systems

All OS with a Java VM

FreeBSD
Linux
macOS
Windows

Linux
OS X
Unix
Windows

Data scheme

schema-free

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

Fixed schema

yes

RDF Schemas

Typing

predefined data types such as float or date

yes

Int, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean

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.

Can index from XML

Secondary indexes

yes

All search fields are automatically indexed

yes

full-text index on all search fields

yes

SQL

Support of SQL

SQL-like query language

APIs and other access methods

Java API
RESTful HTTP/JSON API

Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL

Java API
RIO

RDF Input/Output
Sail API
SeRQL

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

Supported programming languages

.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby

Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python

Java
PHP
Python

Server-side scripts

Stored procedures

yes

user defined functions

yes

Triggers

yes

by using the 'percolation' feature

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Partitioning is done manually, search queries against distributed index is supported

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Synchronous replication based on Galera library

none

MapReduce

Offers an API for user-defined Map/Reduce methods

ES-Hadoop Connector

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

Foreign keys

Referential integrity

Transaction concepts

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

yes

isolated transactions for atomic changes and binary logging for safe writes

ACID

Isolation support depends on the API used

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

The original contents of fields are not stored in the Manticore index.

yes

in-memory storage is supported as well

In-memory capabilities

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

Memcached and Redis integration

User concepts

Access control

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

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Elasticsearch moved into the top 10 most popular database management systems
3 July 2017, Matthias Gelbmann

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

show all

Recent citations in the news

Elastic Announces Enhancements to Cross-Cluster Search and Cross-Cluster Replication
13 July 2022, Business Wire

5 Best Browsers that Support Kibana [Ranked by Compatibility]
4 August 2022, WindowsReport.com

How data on a billion people may have leaked from a Chinese police dashboard
10 July 2022, The Register

AWS Elasticsearch distro stokes open source competitive fires
12 March 2019, TechTarget

AWS scrubs 'Elasticsearch' from site to settle trademark dispute with Elastic
17 February 2022, ZDNet

provided by Google News

Ontotext Announces Latest Major Release, GraphDB 10
5 July 2022, Datanami

provided by Google News

Job opportunities

Senior Python Developer | Elasticsearch | Airflow | Django
Cisco Talos Intelligence Group, Remote

Sr. Python + Django Developer
Apptrics LLC, Remote

Sr. DBA-MongoDB/Elasticsearch
Autofi, Remote

Elasticsearch SME
NR Consulting LLC, San Jose, CA

DevOps Engineer
Marathon TS, Remote

Ontologist
Johns Hopkins Applied Physics Laboratory, Laurel, MD

Semantic Web Java Developer
Mount Sinai, New York, NY

Data Discovery Developer - Scientific Computing & Data
Mount Sinai, New York, NY

jobs by

Share this page