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DBMS > Google Search Appliance vs. Spark SQL

System Properties Comparison Google Search Appliance vs. Spark SQL

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

Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.93
Rank#84  Overall
#9  Search engines
Score16.15
Rank#35  Overall
#21  Relational DBMS
Websiteenterprise.google.com/­search/­products/­gsa.htmlspark.apache.org/­sql
Technical documentationsupport.google.com/­gsaspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperGoogleApache Software Foundation
Initial release20022014
Current releasev2.4.4, September 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0
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 languageScala
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
Secondary indexesno
SQL infoSupport of SQLnoSQL-like DML and DDL statements
APIs and other access methodsAdministrative API
Browser interface
HTTP API
JDBC
ODBC
Supported programming languagesJava
Python
R
Scala
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Foreign keys infoReferential integritynono
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.nono
User concepts infoAccess controlUser authentication via various security protocolsno

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More resources
Google Search ApplianceSpark SQL
Conferences and events

Spark Summit Europe 2019
Amsterdam, Netherlands, 15-17 October 2019

Recent citations in the news

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

Global Cognitive Data Management Market Forecasts 2019 To 2026: By SAP SE, Informatica, SAS, Cognizant, Microsoft, Infosys, Veritas, Wipro, Datum, Reltio, Talend, HPE, Oracle, Saksoft
20 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

Axiomatics Launches SmartGuardĀ® for Data - Spark SQL Edition
17 September 2019, Yahoo Finance

Topics to watch at the Strata Data Conference in New York 2019
10 September 2019, O'Reilly Radar

A Decade Later, Apache Spark Still Going Strong
8 March 2019, Datanami

Delta Lake gives Apache Spark data sets new powers
24 April 2019, InfoWorld

Top 5 High Demand Cloud Skills in 2019
4 September 2019, Times Square Chronicles

provided by Google News

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