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DBMS > GridDB vs. SiteWhere vs. Splice Machine vs. TerminusDB

System Properties Comparison GridDB vs. SiteWhere vs. Splice Machine vs. TerminusDB

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonSiteWhere  Xexclude from comparisonSplice Machine  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataM2M integration platform for persisting/querying time series dataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSGraph DBMS
Secondary database modelsKey-value store
Relational DBMS
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#123  Overall
#10  Time Series DBMS
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Score0.19
Rank#311  Overall
#27  Graph DBMS
Websitegriddb.netgithub.com/­sitewhere/­sitewheresplicemachine.comterminusdb.com
Technical documentationdocs.griddb.netsitewhere1.sitewhere.io/­index.htmlsplicemachine.com/­how-it-worksterminusdb.github.io/­terminusdb/­#
DeveloperToshiba CorporationSiteWhereSplice MachineDataChemist Ltd.
Initial release2013201020142018
Current release5.1, August 20223.1, March 202111.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoCommon Public Attribution License Version 1.0Open Source infoAGPL 3.0, commercial license availableOpen Source infoGPL V3
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 languageC++JavaJavaProlog, Rust
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeyespredefined schemeyesyes
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.nonono
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)noyesSQL-like query language (WOQL)
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP RESTJDBC
Native Spark Datasource
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScript
Python
Server-side scripts infoStored proceduresnoyes infoJavayes
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBaseShared Nothhing Auto-Sharding, Columnar PartitioningGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on HBaseMulti-source replication
Source-replica replication
Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users can be defined per databaseUsers with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standardRole-based access control

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More resources
GridDBSiteWhereSplice MachineTerminusDB infoformer name was DataChemist
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