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DBMS > Datastax Enterprise vs. Titan vs. VelocityDB

System Properties Comparison Datastax Enterprise vs. Titan vs. VelocityDB

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonTitan  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.
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Titan is a Graph DBMS optimized for distributed clusters.A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelWide column storeGraph DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.31
Rank#57  Overall
#4  Wide column stores
Score0.11
Rank#347  Overall
#35  Graph DBMS
#15  Object oriented DBMS
Websitewww.datastax.com/­products/­datastax-enterprisegithub.com/­thinkaurelius/­titanvelocitydb.com
Technical documentationdocs.datastax.comgithub.com/­thinkaurelius/­titan/­wikivelocitydb.com/­UserGuide
DeveloperDataStaxAurelius, owned by DataStaxVelocityDB Inc
Initial release201120122011
Current release6.8, April 20207.x
License infoCommercial or Open SourcecommercialOpen Source infoApache license, version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaJavaC#
Server operating systemsLinux
OS X
Linux
OS X
Unix
Windows
Any that supports .NET
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnono
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
.Net
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
Java
Python
.Net
Server-side scripts infoStored proceduresnoyesno
TriggersyesyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"yes infovia pluggable storage backendsSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users can be defined per objectUser authentification and security via Rexster Graph ServerBased on Windows Authentication
More information provided by the system vendor
Datastax EnterpriseTitanVelocityDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
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Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
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Datastax EnterpriseTitanVelocityDB
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