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DBMS > GraphDB vs. Manticore Search vs. Microsoft Azure SQL Database

System Properties Comparison GraphDB vs. Manticore Search vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
DescriptionEnterprise 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.Database as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelGraph DBMS
RDF store
Search engineRelational DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.16
Rank#139  Overall
#8  Graph DBMS
#5  RDF stores
Score0.08
Rank#290  Overall
#16  Search engines
Score38.96
Rank#23  Overall
#14  Relational DBMS
Websitegraphdb.ontotext.commanticoresearch.comazure.microsoft.com/­en-us/­services/­sql-database
Technical documentationgraphdb.ontotext.com/­documentationdocs.manticoresearch.com/­latest/­html
github.com/­manticoresoftware/­manticoresearch
docs.microsoft.com/­en-us/­azure/­sql-database
DeveloperOntotextManticore SoftwareMicrosoft
Initial release200020172010
Current release8.8, January 2019V12
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGPL version 2commercial
Cloud-based only infoOnly available as a cloud serviceno infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.noyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
hosted
Data schemeschema-free and OWL/RDFS-schema supportyesyes
Typing infopredefined data types such as float or dateyesnoyes
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.noyes
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query languageyes
APIs and other access methodsGeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Proprietary protocolADO.NET
JDBC
ODBC
Supported programming languages.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
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresJava Server PluginnoTransact SQL
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationnoneyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yes
User concepts infoAccess controlyesnofine grained access rights according to SQL-standard
More information provided by the system vendor
GraphDB infoformer name: OWLIMManticore SearchMicrosoft Azure SQL Database infoformerly SQL Azure
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more
News

Ontotext’s GraphDB Builds a Thriving Community of Expert Followers
2 April 2020

Ontotext Knowledge Graph Platform: The Modern Way of Building Smart Enterprise Applications
19 March 2020

How Pharma Companies Can Scale Up Their Knowledge Discovery with Semantic Similarity Search 
6 March 2020

Crafting a Knowledge Graph: The Semantic Data Modeling Way
20 February 2020

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

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

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More resources
GraphDB infoformer name: OWLIMManticore SearchMicrosoft Azure SQL Database infoformerly SQL Azure
DB-Engines blog posts

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

GraphDB 9.1: Knowledge Graphs with Data Provenance
Webinar, 2 March 2020 (finished)

GraphDB Fundamentals: Adding Meaning to Your Data
Webinar, 4pm GMT, 8am PST, 5pm CET, 25 March 2020 (finished)

Recent citations in the news

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

GraphDB Goes Open Source
27 January 2020, iProgrammer

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 Platform 3.0 for Enterprise Knowledge Graphs Released
16 December 2019, PRNewswire

provided by Google News

Considerations for Deploying Azure SQL Database Managed Instances
30 March 2020, Database Journal

MariaDB cuddles Kubernetes, snuggles ServiceNow and readies analytics with latest update to cloudy SkySQL
31 March 2020, The Register

SentryOne Partners with Theta to Deliver Services and Support to APAC Customers
31 March 2020, Yahoo Finance

IDERA Database Tools Expand Support for Cloud-Hosted Databases
10 March 2020, Yahoo Finance

IDERA expands portfolio of cloud-based database and workload management solutions for SQL Server
12 March 2020, Help Net Security

provided by Google News

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