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DBMS > Google Search Appliance vs. TerarkDB vs. Yaacomo

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

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Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonTerarkDB  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelSearch engineKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.77
Rank#94  Overall
#10  Search engines
Score0.06
Rank#315  Overall
#54  Key-value stores
Score0.00
Rank#344  Overall
#139  Relational DBMS
Websiteenterprise.google.com/­search/­products/­gsa.htmlgithub.com/­Terark/­terarkdbyaacomo.com
Technical documentationsupport.google.com/­gsagithub.com/­Terark/­terarkdb/­wiki
DeveloperGoogleTerarkQ2WEB GmbH
Initial release200220162009
License infoCommercial or Open Sourcecommercialcommercial inforestricted open source version availablecommercial
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++
Server operating systemsAndroid
Linux
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or datenoyes
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 indexesnoyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsAdministrative API
Browser interface
HTTP API
C++ API
Java API
JDBC
ODBC
Supported programming languagesC++
Java
Server-side scripts infoStored proceduresno
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationnoneMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
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.noyesyes
User concepts infoAccess controlUser authentication via various security protocolsnofine grained access rights according to SQL-standard

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More resources
Google Search ApplianceTerarkDBYaacomo
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