DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Apache Jena - TDB vs. eXtremeDB vs. HugeGraph vs. Tigris vs. Titan

System Properties Comparison Apache Jena - TDB vs. eXtremeDB vs. HugeGraph vs. Tigris vs. Titan

Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonTigris  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkNatively in-memory DBMS with options for persistency, high-availability and clusteringA fast-speed and highly-scalable Graph DBMSA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructureTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRDF storeRelational DBMS
Time Series DBMS
Graph DBMSDocument store
Key-value store
Search engine
Time Series DBMS
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.75
Rank#84  Overall
#3  RDF stores
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.02
Rank#369  Overall
#51  Document stores
#55  Key-value stores
#24  Search engines
#38  Time Series DBMS
Websitejena.apache.org/­documentation/­tdb/­index.htmlwww.mcobject.comgithub.com/­hugegraph
hugegraph.apache.org
www.tigrisdata.comgithub.com/­thinkaurelius/­titan
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmlwww.mcobject.com/­docs/­extremedb.htmhugegraph.apache.org/­docswww.tigrisdata.com/­docsgithub.com/­thinkaurelius/­titan/­wiki
DeveloperApache Software Foundation infooriginally developed by HP LabsMcObjectBaiduTigris Data, Inc.Aurelius, owned by DataStax
Initial release20002001201820222012
Current release4.9.0, July 20238.2, 20210.9
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0commercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++JavaJava
Server operating systemsAll OS with a Java VMAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
macOS
Unix
Linux
macOS
Windows
Linux
OS X
Unix
Windows
Data schemeyes infoRDF Schemasyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 availablenono
Secondary indexesyesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLnonono
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
CLI Client
gRPC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesJava.Net
C
C#
C++
Java
Lua
Python
Scala
Groovy
Java
Python
Go
Java
JavaScript (Node.js)
Clojure
Java
Python
Server-side scripts infoStored proceduresyesyesasynchronous Gremlin script jobsnoyes
Triggersyes infovia event handleryes infoby defining eventsnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning / shardingyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesnoneActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes infodepending on used storage backend, e.g. Cassandra and HBaseyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparkyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes infoedges in graphyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using FoundationDByes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess control via Jena SecurityUsers, roles and permissionsAccess rights for users and rolesUser authentification and security via Rexster Graph Server
More information provided by the system vendor
Apache Jena - TDBeXtremeDBHugeGraphTigrisTitan
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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

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

More resources
Apache Jena - TDBeXtremeDBHugeGraphTigrisTitan
DB-Engines blog posts

Graph DBMS increased their popularity by 500% within the last 2 years
3 March 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
21 January 2014, Matthias Gelbmann

show all

Recent citations in the news

Sparql Secrets In Jena-Fuseki - DataScienceCentral.com
24 July 2022, Data Science Central

A catalogue with semantic annotations makes multilabel datasets FAIR | Scientific Reports
4 May 2022, Nature.com

MarkLogic Hones Its Triple Store
18 August 2015, Datanami

Comparing Grakn to Semantic Web Technologies — Part 1/3 | by Tomas Sabat
26 June 2020, Towards Data Science

How relevant is data analytics to businesses today?
21 August 2016, The Sociable

provided by Google News

McObject Delivers eXtremeDB 8.4 Improving Performance, Security, and Developer Productivity
13 May 2024, Embedded Computing Design

Latest embedded DBMS supports asymmetric multiprocessing systems
24 May 2023, Embedded

The Data in Hard Real-time SCADA Systems Lets Companies Do More with Less
11 August 2023, Automation.com

Schneider Electric to collaborate with McObject
14 October 2015, Construction Week Online

TI's TDA3x processor powers advanced driver assistance apps
21 October 2014, Embedded

provided by Google News

Critical Apache HugeGraph Flaw Let Attackers Execute Remote Code
23 April 2024, GBHackers

provided by Google News

Tigris Data Unveils Beta Launch of New Vector Search Tool
19 May 2023, Datanami

Tigris Data Launches All-in-One Developer Data Platform
27 September 2022, Datanami

FerretDB Provides Alternative to MongoDB
19 May 2023, Datanami

provided by Google News

Titan Graph Database Integration with DynamoDB: World-class Performance, Availability, and Scale for New Workloads
20 August 2015, All Things Distributed

Beyond Titan: The Evolution of DataStax's New Graph Database
21 June 2016, Datanami

Amazon DynamoDB Storage Backend for Titan: Distributed Graph Database | Amazon Web Services
24 August 2015, AWS Blog

DataStax acquires Aurelius, the startup behind the Titan graph database
3 February 2015, VentureBeat

5 Q's with Graph Database Expert Marko Rodriguez – Center for Data Innovation
9 November 2013, Center for Data Innovation

provided by Google News



Share this page

Featured Products

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here