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DBMS > Google Search Appliance vs. WakandaDB

System Properties Comparison Google Search Appliance vs. WakandaDB

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Our visitors often compare Google Search Appliance and WakandaDB with SAP HANA, Google Cloud Firestore and MongoDB.

Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelSearch engineObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.93
Rank#84  Overall
#9  Search engines
Score0.09
Rank#291  Overall
#14  Object oriented DBMS
Websiteenterprise.google.com/­search/­products/­gsa.htmlwakanda.github.io
Technical documentationsupport.google.com/­gsadoc.wakanda.org/­home2.en.html#/­Datastore/­Introduction.200-588937.en.html
DeveloperGoogleWakanda SAS
Initial release20022012
Current release2.1.0, July 2017
License infoCommercial or Open SourcecommercialOpen Source infoAGPLv3, extended commercial license available
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++, JavaScript
Server operating systemsLinux
OS X
Windows
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
SQL infoSupport of SQLnono
APIs and other access methodsAdministrative API
Browser interface
HTTP API
RESTful HTTP API
Supported programming languagesJavaScript
Server-side scripts infoStored proceduresyes
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
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.nono
User concepts infoAccess controlUser authentication via various security protocolsyes

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More resources
Google Search ApplianceWakandaDB
Recent citations in the news

Google Cloud Partners hopeful on new program, but seek advances
29 August 2019, TechTarget

Global Cognitive Data Management Market Emerging Trends, Growth Opportunities, Technology, Business Function, Deployment Type, Competitive Landscape & Forecast 2025
17 September 2019, SocioHerald

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

So Long Google Search Appliance
4 February 2016, Fortune

Google Search Appliance May Be Gone, But Category Lives On
27 May 2016, Fortune

provided by Google News

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