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DBMS > eXtremeDB vs. Kinetica vs. TimesTen

System Properties Comparison eXtremeDB vs. Kinetica vs. TimesTen

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonKinetica  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringGPU-accelerated database for real-time analysis of large and streaming datasetsIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#225  Overall
#108  Relational DBMS
#13  Time Series DBMS
Score0.75
Rank#193  Overall
#95  Relational DBMS
Score2.44
Rank#112  Overall
#54  Relational DBMS
Websitewww.mcobject.com/­extremedbfamilywww.kinetica.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationwww.mcobject.com/­docs/­eXtremeDB.htmwww.kinetica.com/­docsdocs.oracle.com/­database/­timesten-18.1
DeveloperMcObjectKineticaOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release200120121998
Current release8.1, November 20196.011 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercialcommercialcommercial
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.
eXtremeDB on AWS: High performance DBMS for HPC and Capital Market computing
Implementation languageC and C++C, C++
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesyes
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.no infosupport of XML interfaces availablenono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLSQL-like DML and DDL statementsyes
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
C++
Java
JavaScript (Node.js)
Python
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesuser defined functionsPL/SQL
Triggersyes infoby defining eventsyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyes 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 infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standard
More information provided by the system vendor
eXtremeDBKineticaTimesTen
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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The world's first commercial In-Memory Relational Database offering (launched in...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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TimesTen offers many advantages over competing products: Mature product with nearly...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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TimesTen can be used in a wide range of application areas. Some examples include:...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
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Some of our key customers include Ericsson , Telcordia , China Mobile, China Telecom,...
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Market metricsWith hundreds of customers and over 28 million devices/applications using the product...
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TimesTen is used by thousands of customers in tens of thousands of deployments worldwide...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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Standard Oracle licence models ; end user and ISV/OEM licence terms available.
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More resources
eXtremeDBKineticaTimesTen
Conferences and events

IoT: Implications on Database Management
Webinar, 9:00AM EDT/3:00PM CET and again at 11:00AM PDT/2:00PM EDT, 14 October 2020

Recent citations in the news

Free webinar, IoT: Implications on Database Management
29 September 2020, GlobeNewswire

eXtremeDB 8.1 adds features for easier, more sophisticated database management
19 November 2019, GlobeNewswire

Demand more control from a database management system
19 August 2020, GlobeNewswire

eXtremeDB 8.1 Adds Features for Database Management
2 December 2019, Embedded Computing Design

McObject's eXtremeDB for HPC is now available on AWS
15 October 2019, GlobeNewswire

provided by Google News

GPU Database Market SWOT Analysis, by Major Players Include: Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai, Fastdata.Io, Fuzzy Logix, Graphistry, Anaconda
30 September 2020, Stock Market Funda

The Kinetica Streaming Data Warehouse Eliminates Legacy Analytics Latency with Simultaneous Streaming and Data Analysis
3 September 2020, Business Wire

Global GPU Database Market COVID-19 Impacts to 2020-2027 | Kinetica, Omnisci, Sqream, Neo4j
30 September 2020, Crypto Daily

Kinetica Streaming Data Warehouse Update Designed for Petabyte-Scale Data Sets
15 September 2020, TDWI

GPU Database Market Impressive Gains including key players Kinetica, Omnisci, Sqream
29 September 2020, The PRNews Portal

provided by Google News

Business Insider
25 January 2012, Business Insider

provided by Google News

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