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DBMS > Elasticsearch vs. GraphDB vs. Microsoft Azure SQL Database

System Properties Comparison Elasticsearch vs. GraphDB vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  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 supportDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelSearch engineGraph DBMS
RDF store
Relational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score152.16
Rank#7  Overall
#1  Search engines
Score1.14
Rank#143  Overall
#9  Graph DBMS
#5  RDF stores
Score31.41
Rank#25  Overall
#14  Relational DBMS
Websitewww.elastic.co/­products/­elasticsearchgraphdb.ontotext.comazure.microsoft.com/­en-us/­services/­sql-database
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlgraphdb.ontotext.com/­documentationdocs.microsoft.com/­en-us/­azure/­sql-database
DeveloperElasticOntotextMicrosoft
Initial release201020002010
Current release7.3.0, August 20198.8, January 2019V12
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic Licensecommercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud servicenono infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.yes
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
hosted
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 dateyesyesyes
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.nonoyes
Secondary indexesyes infoAll search fields are automatically indexedyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLSQL-like query languageSPARQL is used as query languageyes
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
ADO.NET
JDBC
ODBC
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
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesJava Server PluginTransact SQL
Triggersyes infoby using the 'percolation' featurenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-master replicationyes, with always 3 replicas available
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)Immediate Consistency
Foreign keys infoReferential integritynoyes infoConstraint checkingyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 controlyesfine grained access rights according to SQL-standard
More information provided by the system vendor
ElasticsearchGraphDB infoformer name: OWLIMMicrosoft Azure SQL Database infoformerly SQL Azure
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

How Computer Vision Technology Can Bring Smart Surveillance to Retail    
6 February 2020

Ontotext’s Graph Database Helps Create EU-Wide Company Business Graph
23 January 2020

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

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

Elastic Cloud: Try the official hosted Elasticsearch.
» more

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

More resources
ElasticsearchGraphDB infoformer name: OWLIMMicrosoft Azure SQL Database infoformerly SQL Azure
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

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Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

show all

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

Taming data transfer costs with Elasticsearch | Info
4 February 2020, The Guardian

Microsoft exposes 250M customer service records via misconfigured Elasticsearch database
22 January 2020, SiliconANGLE

Elastic Announces the General Availability of Elastic App Search on Elasticsearch Service
4 February 2020, Business Wire

Elastic Stack 7.6.0 Released
11 February 2020, Yahoo Finance

Five Microsoft Elasticsearch Servers with Private Data for 250 Million People Found Unsecured Online
23 January 2020, Security Boulevard

provided by Google News

GraphDB Goes Open Source
27 January 2020, iProgrammer

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

Ontotext's GraphDB 9.0 Open-sources its Front-end and Engine Plugins to Empower Knowledge Graph Solutions
3 October 2019, PRNewswire

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

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

provided by Google News

Introduction to Azure SQL Database Auto-Failover Groups
17 February 2020, Database Journal

Running Database Console Commands (DBCCs) on Azure SQL Database
20 January 2020, Database Journal

SentryOne Launches New Experience for Teams Managing Database Performance Monitoring
11 February 2020, Yahoo Finance

Learning SQL: Skills and Knowledge You Need to Know
23 January 2020, Dice Insights

Microsoft Azure Updates: Cloud vulnerabilities; Shared Disks; Connected Vehicle Platform; New partnerships; Great Barrier Reef
15 February 2020, MSDynamicsWorld.com

provided by Google News

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