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DBMS > GraphDB vs. Kinetica vs. SAP HANA vs. Vertica

System Properties Comparison GraphDB vs. Kinetica vs. SAP HANA vs. Vertica

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonKinetica  Xexclude from comparisonSAP HANA  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportGPU-accelerated database for real-time analysis of large and streaming datasetsIn-memory, column based data store. Available as appliance or cloud serviceColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.32
Rank#144  Overall
#10  Graph DBMS
#5  RDF stores
Score0.67
Rank#196  Overall
#94  Relational DBMS
Score51.34
Rank#20  Overall
#13  Relational DBMS
Score20.95
Rank#31  Overall
#18  Relational DBMS
Websitegraphdb.ontotext.comwww.kinetica.comwww.sap.com/­products/­hana.htmlwww.vertica.com
Technical documentationgraphdb.ontotext.com/­documentationwww.kinetica.com/­docshelp.sap.com/­hanawww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperOntotextKineticaSAPVertica / Micro Focus infoprior to that Hewlett Packard
Initial release2000201220102005
Current release8.8, January 20196.02.0 SPS04, April 2019Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceno infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.nono infoalso available as a cloud based serviceno infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
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
LinuxAppliance or cloud-serviceLinux
Data schemeschema-free and OWL/RDFS-schema supportyesyesyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononoyes
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLSPARQL is used as query languageSQL-like DML and DDL statementsyesyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsGeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresJava Server Pluginuser defined functionsSQLScript, Ryes
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyesSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationMaster-slave replicationyesMaster-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infowith Vertica Connector for Hadoop
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 or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes
User concepts infoAccess controlyesAccess rights for users and roles on table levelyesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
GraphDB infoformer name: OWLIMKineticaSAP HANAVertica infoVertica Analytics Platform
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosMetadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» 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
Cost-based models and subscription-based models are available
» more
News

Boosting Cybersecurity Efficiency with Knowledge Graphs
9 July 2020

Star Wars: Knowledge Graph Federation
24 June 2020

Computer Vision Technology for Boosting Retailers’ Marketing & Product Management  
18 June 2020

If Curiosity Cabinets Were Knowledge Graphs
4 June 2020

On the Hunt for Patterns: from Hippocrates to Supercomputers
18 May 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
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
GraphDB infoformer name: OWLIMKineticaSAP HANAVertica infoVertica Analytics Platform
Conferences and events

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

GraphDB 9.2 Supports RDF* to Match the Expressivity of Property Graphs
Webinar, 5 pm CEST / 12 pm EDT / 6 pm EEST, 14 May 2020 (finished)

Recent citations in the news

Ontotext's GraphDB 9.2 Supports RDF* to Match the Expressivity of Property Graphs
30 April 2020, PRNewswire

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

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

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

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

provided by Google News

Global GPU Database Market Revenue, Growth Rate and Competitors Analysis 2020: Nvidia, Kinetica DB, OmniSci, Neo4j, Brytlyt, BlazingDB Etc.
13 July 2020, Jewish Life News

GPU Database Market – Major Technology Giants in Buzz Again | Kinetica, Omnisci, Sqream
8 July 2020, Cole of Duty

GPU Database Market Survey Report 2020-2026: Kinetica DB, OmniSci, Neo4j
1 July 2020, NJ MMA News

COVID-19 Impact on GPU Database Market 2020: Global Industry Size, Growth, Emerging Trends, Business Opportunities, SWOT Analysis by Top Key Vendors, Demand and Forecast Research to 2025
14 July 2020, Cole of Duty

GPU Database Market 2020 Forecast to 2026 (Based on 2020 COVID-19 Worldwide Spread), Key Players – Graphistry, BlazingDB, Kinetica, SQream, Zilliz, etc.
13 July 2020, Cole of Duty

provided by Google News

SAP HANA’s 10th anniversary is about cloud convergence
18 June 2020, ZDNet

Outlier's Automated Insights and Integration with SAP HANA Add Context Around Critical Changes in Supply and Demand Changes
25 June 2020, GlobeNewswire

Business Solutions and Automated Analytics from Outlier and SAP HANA
3 July 2020, Inside SAP Magazine

Successfully Managing The Digital Transformation Journey
1 July 2020, E3zine.com

Why Are SAP Customers Worried About S/4 Hana?
17 June 2020, E3zine.com

provided by Google News

Complicated and competitive: How Vertica navigates today's intricate world of database management
21 April 2020, SiliconANGLE

Develop an application migration methodology to modernize your data warehouse with Amazon Redshift
13 July 2020, idk.dev

Micro Focus announces major update to its Vertica data analytics platform
31 March 2020, SiliconANGLE

Back with a bang: Vertica previews Big Data Conference's return after 4-year hiatus
27 March 2020, SiliconANGLE

Domo responds to customer queries and demands with autonomous database management
1 April 2020, SiliconANGLE

provided by Google News

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