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DBMS > Google Search Appliance vs. Kinetica

System Properties Comparison Google Search Appliance vs. Kinetica

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Our visitors often compare Google Search Appliance and Kinetica with Elasticsearch, SAP HANA and Solr.

Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonKinetica  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 datasets
Primary database modelSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.86
Rank#86  Overall
#9  Search engines
Score0.53
Rank#199  Overall
#97  Relational DBMS
Websiteenterprise.google.com/­search/­products/­gsa.htmlwww.kinetica.com
Technical documentationsupport.google.com/­gsawww.kinetica.com/­docs
DeveloperGoogleKinetica
Initial release20022012
Current release6.0
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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

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More resources
Google Search ApplianceKinetica
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