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DBMS > GridGain vs. Kdb vs. Microsoft Azure AI Search vs. SiteWhere

System Properties Comparison GridGain vs. Kdb vs. Microsoft Azure AI Search vs. SiteWhere

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonKdb  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteHigh performance Time Series DBMSSearch-as-a-service for web and mobile app developmentM2M integration platform for persisting/querying time series data
Primary database modelKey-value store
Relational DBMS
Time Series DBMS
Vector DBMS
Search engineTime Series DBMS
Secondary database modelsRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitewww.gridgain.comkx.comazure.microsoft.com/­en-us/­services/­searchgithub.com/­sitewhere/­sitewhere
Technical documentationwww.gridgain.com/­docs/­index.htmlcode.kx.comlearn.microsoft.com/­en-us/­azure/­searchsitewhere1.sitewhere.io/­index.html
DeveloperGridGain Systems, Inc.Kx Systems, a division of First Derivatives plcMicrosoftSiteWhere
Initial release20072000 infokdb was released 2000, kdb+ in 200320152010
Current releaseGridGain 8.5.13.6, May 2018V1
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versioncommercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetqJava
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Windows
Data schemeyesyesyespredefined scheme
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesyesnono
Secondary indexesyesyes infotable attribute 'grouped'yesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query language (q)nono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP APIHTTP REST
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)user defined functionsno
Triggersyes (cache interceptors and events)yes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding infoImplicit feature of the cloud serviceSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replicationyes infoImplicit feature of the cloud serviceselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)no infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlSecurity Hooks for custom implementationsrights management via user accountsyes infousing Azure authenticationUsers with fine-grained authorization concept
More information provided by the system vendor
GridGainKdbMicrosoft Azure AI SearchSiteWhere
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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GridGainKdbMicrosoft Azure AI SearchSiteWhere
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