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DBMS > GridDB vs. IBM Db2 Event Store vs. KairosDB vs. SiteWhere

System Properties Comparison GridDB vs. IBM Db2 Event Store vs. KairosDB vs. SiteWhere

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonKairosDB  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataDistributed Event Store optimized for Internet of Things use casesDistributed Time Series DBMS based on Cassandra or H2M2M integration platform for persisting/querying time series data
Primary database modelTime Series DBMSEvent Store
Time Series DBMS
Time Series DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitegriddb.netwww.ibm.com/­products/­db2-event-storegithub.com/­kairosdb/­kairosdbgithub.com/­sitewhere/­sitewhere
Technical documentationdocs.griddb.netwww.ibm.com/­docs/­en/­db2-event-storekairosdb.github.iositewhere1.sitewhere.io/­index.html
DeveloperToshiba CorporationIBMSiteWhere
Initial release2013201720132010
Current release5.1, August 20222.01.2.2, November 2018
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial infofree developer edition availableOpen Source infoApache 2.0Open Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++JavaJava
Server operating systemsLinuxLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freepredefined scheme
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesyesyes
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 indexesyesnonono
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)yes infothrough the embedded Spark runtimenono
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Graphite protocol
HTTP REST
Telnet API
HTTP REST
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnoyesno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on CassandraSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationActive-active shard replicationselectable replication factor infobased on Cassandraselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelnonono
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardsimple password-based access controlUsers with fine-grained authorization concept
More information provided by the system vendor
GridDBIBM Db2 Event StoreKairosDBSiteWhere
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
GridDBIBM Db2 Event StoreKairosDBSiteWhere
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