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DBMS > EXASOL vs. GeoSpock vs. GridDB vs. Kdb vs. SiteWhere

System Properties Comparison EXASOL vs. GeoSpock vs. GridDB vs. Kdb vs. SiteWhere

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGeoSpock  Xexclude from comparisonGridDB  Xexclude from comparisonKdb  Xexclude from comparisonSiteWhere  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Spatial and temporal data processing engine for extreme data scaleScalable in-memory time series database optimized for IoT and Big DataHigh performance Time Series DBMSM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series DBMS
Vector DBMS
Time Series DBMS
Secondary database modelsTime Series DBMSKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitewww.exasol.comgeospock.comgriddb.netkx.comgithub.com/­sitewhere/­sitewhere
Technical documentationwww.exasol.com/­resourcesdocs.griddb.netcode.kx.comsitewhere1.sitewhere.io/­index.html
DeveloperExasolGeoSpockToshiba CorporationKx Systems, a division of First Derivatives plcSiteWhere
Initial release200020132000 infokdb was released 2000, kdb+ in 20032010
Current release2.0, September 20195.1, August 20223.6, May 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial infofree 32-bit versionOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC++qJava
Server operating systemshostedLinuxLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesyesyespredefined scheme
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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.nononoyesno
Secondary indexesyestemporal, categoricalyesyes infotable attribute 'grouped'no
SQL infoSupport of SQLyesANSI SQL for query only (using Presto)SQL92, SQL-like TQL (Toshiba Query Language)SQL-like query language (q)no
APIs and other access methods.Net
JDBC
ODBC
WebSocket
JDBCJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
HTTP REST
Supported programming languagesJava
Lua
Python
R
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsnonouser defined functions
Triggersyesnoyesyes infowith views
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingShardinghorizontal partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID at container levelnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users can be defined per tableAccess rights for users can be defined per databaserights management via user accountsUsers with fine-grained authorization concept
More information provided by the system vendor
EXASOLGeoSpockGridDBKdbSiteWhere
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Integrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
provides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
tick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Goldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricsGitHub trending repository
» more
kdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
upon request
» more

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EXASOLGeoSpockGridDBKdbSiteWhere
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