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DBMS > Elasticsearch vs. GraphDB vs. Manticore Search

System Properties Comparison Elasticsearch vs. GraphDB vs. Manticore Search

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonManticore Search  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportOpen source search engine for searching in data from different sources. Forked of and compatible with Sphinx.
Primary database modelSearch engineGraph DBMS
RDF store
Search engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score151.44
Rank#7  Overall
#1  Search engines
Score1.14
Rank#137  Overall
#8  Graph DBMS
#5  RDF stores
Score0.08
Rank#286  Overall
#16  Search engines
Websitewww.elastic.co/­products/­elasticsearchgraphdb.ontotext.commanticoresearch.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlgraphdb.ontotext.com/­documentationdocs.manticoresearch.com/­latest/­html
github.com/­manticoresoftware/­manticoresearch
DeveloperElasticOntotextManticore Software
Initial release201020002017
Current release7.3.0, August 20198.8, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic Licensecommercial infolimited edition freeOpen Source infoGPL version 2
Cloud-based only infoOnly available as a cloud servicenono infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Elasticsearch Service on Elastic Cloud: Try out the official hosted Elasticsearch and Kibana offering available on AWS and GCP that's powered by the creators of Elasticsearch.
Implementation languageJavaJavaC++
Server operating systemsAll OS with a Java VMAll OS with a Java VM
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyes infoAll search fields are automatically indexedyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageSPARQL is used as query languageSQL-like query language
APIs and other access methodsJava API
RESTful HTTP/JSON API
GeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Proprietary protocol
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesJava Server Pluginno
Triggersyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-master replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)
Foreign keys infoReferential integritynoyes infoConstraint checkingno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integration
User concepts infoAccess controlyesno
More information provided by the system vendor
ElasticsearchGraphDB infoformer name: OWLIMManticore Search
Specific characteristicsElasticsearch is a highly scalable open source full-text search and analytics engine....
» more
GraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Competitive advantagesOpen source, real-time index, search and analysis, horizontally scalable, distributed,...
» more
GraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosSearch, logging, security, metrics, maps and business analytics use cases.
» more
Metadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Key customers
» more
BBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Market metricsMore than 400 million cumulative downloads More than 100,000 community members in...
» more
GraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsThe Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more
GraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more
News

A Graphful of Investment Opportunities
10 January 2020

Ontotext’s Most Popular Blog Posts for 2019
30 December 2019

A New Hope: The Rise of the Knowledge Graph
6 December 2019

The New Improved and Open GraphDB
7 November 2019

It Takes Two to Tango: Knowledge Graphs and Text Analysis
5 November 2019

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
3rd partiesElastic Cloud: Try the official hosted Elasticsearch.
» more

Dremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ElasticsearchGraphDB infoformer name: OWLIMManticore Search
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2 March 2016, Paul Andlinger

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Conferences and events

Designing Semantic Technology Proof-of-Concept
Online Training, 13:00 – 18:00 UTC, 12 December 2019 (finished)

Ontotext Platform – the Fast Track from an RDF Model to a Knowledge Graph
Online Training, 4pm GMT, 17 December 2019 (finished)

Recent citations in the news

Elastic Delivers Native Kubernetes Integration For Elasticsearch
16 January 2020, CRN: Technology news for channel partners and solution providers

Elasticsearch Database Leaks 100 GB Data of Peekaboo Moments App
14 January 2020, CISO MAG

Wyze Exposes User Data via Unsecured ElasticSearch Cluster
29 December 2019, BleepingComputer

Elastic announces general availability of Elastic Cloud on Kubernetes
19 January 2020, DataCentreNews Europe

Elastic Cloud on Kubernetes (ECK) 1.0 Is Now Generally Available
15 January 2020, Valdosta Daily Times

provided by Google News

It's just semantics: Bulgarian software dev Ontotext squeezes out GraphDB 9.1
15 January 2020, The Register

GraphDB 9.1 - the Database to Support High-quality Knowledge Graphs
13 January 2020, PRNewswire

GraphDB Improves the Knowledge Graph Experience in Latest Update
12 January 2020, Database Trends and Applications

Ontotext GraphDB Named Innovator in Bloor's Graph Database Market Research
11 February 2019, PRNewswire

Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer
13 June 2019, Yahoo Finance

provided by Google News

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