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DBMS > Kinetica vs. STSdb vs. ToroDB

System Properties Comparison Kinetica vs. STSdb vs. ToroDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonSTSdb  Xexclude from comparisonToroDB  Xexclude from comparison
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSKey-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#193  Overall
#95  Relational DBMS
Score0.11
Rank#297  Overall
#51  Key-value stores
Score0.09
Rank#316  Overall
#41  Document stores
Websitewww.kinetica.comgithub.com/­STSSoft/­STSdb4www.torodb.com
Technical documentationwww.kinetica.com/­docswww.torodb.com/­stampede/­docs
DeveloperKineticaSTS Soft SC8Kdata
Initial release201220112016
Current release6.04.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2, commercial license availableOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C#Java
Server operating systemsLinuxWindowsAll OS with a Java 7 VM
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infoprimitive types and user defined types (classes)yes infostring, integer, double, boolean, date, object_id
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 indexesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C#
Java
Server-side scripts infoStored proceduresuser defined functionsno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and roles on table levelnoAccess rights for users and roles

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More resources
KineticaSTSdbToroDB
Recent citations in the 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

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

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

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

Global GPU Database Market To Amass Huge Proceeds During Estimated Timeline
30 September 2020, The Daily Chronicle

provided by Google News




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