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DBMS > Datomic vs. GridDB vs. OpenTSDB vs. SiteWhere

System Properties Comparison Datomic vs. GridDB vs. OpenTSDB vs. SiteWhere

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGridDB  Xexclude from comparisonOpenTSDB  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityScalable in-memory time series database optimized for IoT and Big DataScalable Time Series DBMS based on HBaseM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitewww.datomic.comgriddb.netopentsdb.netgithub.com/­sitewhere/­sitewhere
Technical documentationdocs.datomic.comdocs.griddb.netopentsdb.net/­docs/­build/­html/­index.htmlsitewhere1.sitewhere.io/­index.html
DeveloperCognitectToshiba Corporationcurrently maintained by Yahoo and other contributorsSiteWhere
Initial release2012201320112010
Current release1.0.7075, December 20235.1, August 2022
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoLGPLOpen 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++JavaJava
Server operating systemsAll OS with a Java VMLinuxLinux
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampnumeric data for metrics, strings for tagsyes
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 indexesyesyesnono
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)nono
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP API
Telnet API
HTTP REST
Supported programming languagesClojure
Java
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Erlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsnono
TriggersBy using transaction functionsyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding infobased on HBaseSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationselectable replication factor infobased on HBaseselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesnono
User concepts infoAccess controlnoAccess rights for users can be defined per databasenoUsers with fine-grained authorization concept
More information provided by the system vendor
DatomicGridDBOpenTSDBSiteWhere
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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DatomicGridDBOpenTSDBSiteWhere
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