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DBMS > BigchainDB vs. GraphDB vs. HBase vs. TimesTen

System Properties Comparison BigchainDB vs. GraphDB vs. HBase vs. TimesTen

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonHBase  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportWide-column store based on Apache Hadoop and on concepts of BigTableIn-Memory RDBMS compatible to Oracle
Primary database modelDocument storeGraph DBMS
RDF store
Wide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#187  Overall
#29  Document stores
Score1.14
Rank#137  Overall
#8  Graph DBMS
#5  RDF stores
Score53.34
Rank#21  Overall
#2  Wide column stores
Score2.12
Rank#109  Overall
#53  Relational DBMS
Websitewww.bigchaindb.comgraphdb.ontotext.comhbase.apache.orgwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationbigchaindb.readthedocs.io/­en/­latestgraphdb.ontotext.com/­documentationhbase.apache.orgdocs.oracle.com/­database/­timesten-18.1
DeveloperOntotextApache Software Foundation infoApache top-level project, originally developed by PowersetOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2016200020081998
Current release8.8, January 20192.2.0, June 201911 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoAGPL v3commercial infolimited edition freeOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenono infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.nono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonJavaJava
Server operating systemsLinuxAll OS with a Java VM
Linux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeschema-free and OWL/RDFS-schema supportschema-free, schema definition possibleyes
Typing infopredefined data types such as float or datenoyesoptions to bring your own types, AVROyes
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.nononono
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesnoyes
SQL infoSupport of SQLnoSPARQL is used as query languagenoyes
APIs and other access methodsCLI Client
RESTful HTTP API
GeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresJava Server Pluginyes infoCoprocessors in JavaPL/SQL
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMaster-master replicationMaster-master replication
Master-slave replication
Master-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
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 ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infoConstraint checkingnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesyesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standard
More information provided by the system vendor
BigchainDBGraphDB infoformer name: OWLIMHBaseTimesTen
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
The world's first commercial In-Memory Relational Database offering (launched in...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
TimesTen offers many advantages over competing products: Mature product with nearly...
» more
Typical application scenariosMetadata enrichment and management, linked open data publishing, semantic inferencing...
» more
TimesTen can be used in a wide range of application areas. Some examples include:...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Some of our key customers include Ericsson , Telcordia , China Mobile, China Telecom,...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
TimesTen is used by thousands of customers in tens of thousands of deployments worldwide...
» more
Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more
Standard Oracle licence models ; end user and ISV/OEM licence terms available.
» 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
BigchainDBGraphDB infoformer name: OWLIMHBaseTimesTen
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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

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