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DBMS > Kinetica vs. ReductStore vs. SQL.JS vs. TigerGraph

System Properties Comparison Kinetica vs. ReductStore vs. SQL.JS vs. TigerGraph

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonReductStore  Xexclude from comparisonSQL.JS  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.Port of SQLite to JavaScriptA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSTime Series DBMSRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Score0.63
Rank#241  Overall
#112  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitewww.kinetica.comgithub.com/­reductstore
www.reduct.store
sql.js.orgwww.tigergraph.com
Technical documentationdocs.kinetica.comwww.reduct.store/­docssql.js.org/­documentation/­index.htmldocs.tigergraph.com
DeveloperKineticaReductStore LLCAlon Zakai infoenhancements implemented by others
Initial release2012202320122017
Current release7.1, August 20211.9, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoBusiness Source License 1.1Open Sourcecommercial
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, C++C++, RustJavaScriptC++
Server operating systemsLinuxDocker
Linux
macOS
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoSQL-92 is not fully supportedSQL-like query language (GSQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP APIJavaScript APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C++
JavaScript (Node.js)
Python
Rust
JavaScriptC++
Java
Server-side scripts infoStored proceduresuser defined functionsnoyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnone
Foreign keys infoReferential integrityyesyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesno infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesno
User concepts infoAccess controlAccess rights for users and roles on table levelnoRole-based access control

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More resources
KineticaReductStoreSQL.JSTigerGraph
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