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DBMS > Google Search Appliance vs. Kinetica vs. TerarkDB

System Properties Comparison Google Search Appliance vs. Kinetica vs. TerarkDB

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Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonKinetica  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.GPU-accelerated database for real-time analysis of large and streaming datasetsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelSearch engineRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.77
Rank#94  Overall
#10  Search engines
Score0.56
Rank#199  Overall
#96  Relational DBMS
Score0.06
Rank#315  Overall
#54  Key-value stores
Websiteenterprise.google.com/­search/­products/­gsa.htmlwww.kinetica.comgithub.com/­Terark/­terarkdb
Technical documentationsupport.google.com/­gsawww.kinetica.com/­docsgithub.com/­Terark/­terarkdb/­wiki
DeveloperGoogleKineticaTerark
Initial release200220122016
Current release6.0
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++
Server operating systemsLinux
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesno
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 indexesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsno
APIs and other access methodsAdministrative API
Browser interface
HTTP API
RESTful HTTP API
JDBC
ODBC
C++ API
Java API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresuser defined functionsno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-slave replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlUser authentication via various security protocolsAccess rights for users and roles on table levelno

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More resources
Google Search ApplianceKineticaTerarkDB
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