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DBMS > Google Search Appliance vs. TerarkDB vs. Yanza

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

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Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonTerarkDB  Xexclude from comparisonYanza  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 MongoDBTime Series DBMS for IoT Applications
Primary database modelSearch engineKey-value storeTime Series 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
#30  Time Series DBMS
Websiteenterprise.google.com/­search/­products/­gsa.htmlgithub.com/­Terark/­terarkdbyanza.com
Technical documentationsupport.google.com/­gsagithub.com/­Terark/­terarkdb/­wiki
DeveloperGoogleTerarkYanza
Initial release200220162015
License infoCommercial or Open Sourcecommercialcommercial inforestricted open source version availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsWindows
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or datenono
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 indexesnono
SQL infoSupport of SQLnonono
APIs and other access methodsAdministrative API
Browser interface
HTTP API
C++ API
Java API
HTTP API
Supported programming languagesC++
Java
any language that supports HTTP calls
Server-side scripts infoStored proceduresnono
Triggersnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonono
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
User concepts infoAccess controlUser authentication via various security protocolsnono

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More resources
Google Search ApplianceTerarkDBYanza
Recent citations in the news

the only magazine, website and conference dedicated to news, trends and case studies in knowledge management, content management and document management.
9 November 2019, KMWorld Magazine

Cognitive Data Management Market to Witness Huge Growth by 2025| Wipro, Datum, Reltio, Talend, HPE, Oracle, Saksoft, Snaplogic, Strongbox Data Solutions
13 November 2019, Eastlake Times

So Long Google Search Appliance
4 February 2016, Fortune

Elastic Is Looking a Lot Like Google 10 Years Ago
10 June 2019, Motley Fool

What is a Google Search Appliance?
8 January 2014, TechRepublic

provided by Google News

A Chinese company is making the cloud 200x faster
3 July 2017, TechNode

ByteDance eyes big data push with Terark acquisition
30 April 2019, EJ Insight

Terark, A Chinese Startup, May Have Just Revolutionized How Data Is Stored, Accessed & Analyzed
26 June 2017, Indiatimes.com

provided by Google News

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