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DBMS > eXtremeDB vs. Geode vs. GraphDB vs. Stardog

System Properties Comparison eXtremeDB vs. Geode vs. GraphDB vs. Stardog

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonGeode  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportEnterprise Knowledge Graph and graph DBMS with high availability and high performance reasoning
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeGraph DBMS
RDF store
Graph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.44
Rank#217  Overall
#103  Relational DBMS
#12  Time Series DBMS
Score1.59
Rank#124  Overall
#22  Key-value stores
Score1.14
Rank#137  Overall
#8  Graph DBMS
#5  RDF stores
Score0.81
Rank#165  Overall
#13  Graph DBMS
#7  RDF stores
Websitewww.mcobject.com/­extremedbfamilygeode.apache.orggraphdb.ontotext.comwww.stardog.com
Technical documentationwww.mcobject.com/­docs/­eXtremeDB.htmgeode.apache.org/­docsgraphdb.ontotext.com/­documentationwww.stardog.com/­docs
DeveloperMcObjectOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.OntotextStardog-Union
Initial release2001200220002010
Current release8.0, May 20181.1, February 20178.8, January 20196.2.3, July 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial infolimited edition freecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenonono 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.
Implementation languageC and C++JavaJavaJava
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredAll OS with a Java VM
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeyesschema-freeschema-free and OWL/RDFS-schema supportschema-free and OWL/RDFS-schema support
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.no infosupport of XML interfaces availablenonono infoImport/export of XML data possible
Secondary indexesyesnoyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyes infowith the option: eXtremeSQLSQL-like query language (OQL)SPARQL is used as query languageSPARQL is used as query language
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
proprietary protocol
Java Client API
Memcached protocol
RESTful HTTP API
GeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyesuser defined functionsJava Server Pluginuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes infoby defining eventsyes infoCache Event Listenersnoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby means of eXtremeDB Cluster option
Master-slave replication infoby means of eXtremeDB High Availability option
Master-master replicationMaster-master replicationMaster-master replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesnoyes infoConstraint checkingyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
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.yesyesyes
User concepts infoAccess controlAccess rights per client and object definableyesAccess rights for users and roles
More information provided by the system vendor
eXtremeDBGeodeGraphDB infoformer name: OWLIMStardog
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
GraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Stardog is a knowledge graph platform backed by a performant, scalable graph database....
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
GraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Stardog is uniquely designed to aid in data integration for your complex data. Benefits...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Metadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Stardog is frequently used for: Anti-money laundering & fraud monitoring Customer...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
BBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Bosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...
» more
Market metricsWith hundreds of customers and over 28 million devices/applications using the product...
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GraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Stardog's technology is based on ground-breaking research by our founders cited 10,000+...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
GraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more
A fully-featured 60-day Trial license is available for those testing Stardog; contact...
» 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.

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More resources
eXtremeDBGeodeGraphDB infoformer name: OWLIMStardog
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

eXtremeDB 8.1 adds features for easier, more sophisticated database management
19 November 2019, GlobeNewswire

eXtremeDB 8.1 Adds Features for Database Management
2 December 2019, Embedded Computing Design

McObject's eXtremeDB for HPC is Now Available on AWS
15 October 2019, HPCwire

eXtremeDB shortlisted for two Data Management Insight Awards
26 September 2019, Yahoo Finance

eXtremeDB shortlisted in 4 different best DBMS categories in 1 week
8 October 2019, IoT For All

provided by Google News

High-Performance Data Processing with Spring Cloud Data Flow and Geode
30 October 2019, InfoQ.com

Where Does Apache Geode Fit in CQRS Architectures?
18 December 2016, InfoQ.com

TIBCO Snaps Up SnappyData: Spark + Geode on Steroids
8 March 2019, Computer Business Review

TIBCO Gets Streaming Boost with SnappyData Deal
7 March 2019, Datanami

Simplifying Apache Geode with Spring Data
2 June 2018, InfoQ.com

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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