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DBMS > Google Search Appliance vs. Ingres vs. Postgres-XL vs. RocksDB

System Properties Comparison Google Search Appliance vs. Ingres vs. Postgres-XL vs. RocksDB

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Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonIngres  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.Well established RDBMSBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelSearch engineRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.77
Rank#90  Overall
#10  Search engines
Score5.92
Rank#56  Overall
#31  Relational DBMS
Score0.47
Rank#213  Overall
#102  Relational DBMS
Score2.67
Rank#96  Overall
#17  Key-value stores
Websiteenterprise.google.com/­search/­products/­gsa.htmlwww.actian.com/­data-management/­ingres-sql-rdbmswww.postgres-xl.orgrocksdb.org
Technical documentationsupport.google.com/­gsadocs.actian.com/­ingreswww.postgres-xl.org/­documentationgithub.com/­facebook/­rocksdb/­wiki
DeveloperGoogleActian CorporationFacebook, Inc.
Initial release20021974 infooriginally developed at University Berkely in early 1970s2014 infosince 2012, originally named StormDB2013
Current release11.0, April 201710 R1, October 20186.5.3, January 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMozilla public licenseOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCCC++
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
macOS
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 infobut tools for importing/exporting data from/to XML-files availableyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesno
SQL infoSupport of SQLnoyesyes infodistributed, parallel query executionno
APIs and other access methodsAdministrative API
Browser interface
HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
C++ API
Java API
Supported programming languages.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
Server-side scripts infoStored proceduresyesuser defined functionsno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyhorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationIngres Replicatornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCyes
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlUser authentication via various security protocolsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
Google Search ApplianceIngresPostgres-XLRocksDB
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