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DBMS > Kinetica vs. NSDb vs. Tigris vs. TimesTen vs. Titan

System Properties Comparison Kinetica vs. NSDb vs. Tigris vs. TimesTen vs. Titan

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonNSDb  Xexclude from comparisonTigris  Xexclude from comparisonTimesTen  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.
DescriptionFully vectorized database across both GPUs and CPUsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructureIn-Memory RDBMS compatible to OracleTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSTime Series DBMSDocument store
Key-value store
Search engine
Time Series DBMS
Relational DBMSGraph 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
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.02
Rank#369  Overall
#51  Document stores
#55  Key-value stores
#24  Search engines
#38  Time Series DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitewww.kinetica.comnsdb.iowww.tigrisdata.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlgithub.com/­thinkaurelius/­titan
Technical documentationdocs.kinetica.comnsdb.io/­Architecturewww.tigrisdata.com/­docsdocs.oracle.com/­database/­timesten-18.1github.com/­thinkaurelius/­titan/­wiki
DeveloperKineticaTigris Data, Inc.Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Aurelius, owned by DataStax
Initial release20122017202219982012
Current release7.1, August 202111 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialOpen 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 languageC, C++Java, ScalaJava
Server operating systemsLinuxLinux
macOS
Linux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesyesyes
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 indexesyesall fields are automatically indexedyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languagenoyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
CLI Client
gRPC
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Java
Scala
Go
Java
JavaScript (Node.js)
C
C++
Java
PL/SQL
Clojure
Java
Python
Server-side scripts infoStored proceduresuser defined functionsnonoPL/SQLyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnoneyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyes, using FoundationDByes infoby means of logfiles and checkpointsyes 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.yes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users and roles on table levelAccess rights for users and rolesfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Server

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More resources
KineticaNSDbTigrisTimesTenTitan
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