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DBMS > Kinetica vs. Titan vs. Transbase vs. VelocityDB

System Properties Comparison Kinetica vs. Titan vs. Transbase vs. VelocityDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonTitan  Xexclude from comparisonTransbase  Xexclude from comparisonVelocityDB  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.
DescriptionFully vectorized database across both GPUs and CPUsTitan is a Graph DBMS optimized for distributed clusters.A resource-optimized, high-performance, universally applicable RDBMSA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSGraph DBMSRelational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.kinetica.comgithub.com/­thinkaurelius/­titanwww.transaction.de/­en/­products/­transbase.htmlvelocitydb.com
Technical documentationdocs.kinetica.comgithub.com/­thinkaurelius/­titan/­wikiwww.transaction.de/­en/­products/­transbase/­features.htmlvelocitydb.com/­UserGuide
DeveloperKineticaAurelius, owned by DataStaxTransaction Software GmbHVelocityDB Inc
Initial release2012201219872011
Current release7.1, August 2021Transbase 8.3, 20227.x
License infoCommercial or Open SourcecommercialOpen Source infoApache license, version 2.0commercial infofree development licensecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaC and C++C#
Server operating systemsLinuxLinux
OS X
Unix
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Any that supports .NET
Data schemeyesyesyesyes
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
Proprietary native API
.Net
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Clojure
Java
Python
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
.Net
Server-side scripts infoStored proceduresuser defined functionsyesyesno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infovia pluggable storage backendsSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlAccess rights for users and roles on table levelUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
KineticaTitanTransbaseVelocityDB
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Recent citations in the news

Kinetica Elevates RAG with Fast Access to Real-Time Data
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Kinetica Delivers Real-Time Vector Similarity Search
21 March 2024, insideBIGDATA

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18 March 2024, SiliconANGLE News

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24 August 2015, AWS Blog

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21 June 2016, Datanami

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20 August 2015, All Things Distributed

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3 February 2015, VentureBeat

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14 November 2019, InfoWorld

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