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DBMS > Google Search Appliance vs. Postgres-XL vs. RDF4J vs. RocksDB

System Properties Comparison Google Search Appliance vs. Postgres-XL vs. RDF4J vs. RocksDB

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Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Embeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelSearch engineRelational DBMSRDF storeKey-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
Score0.47
Rank#213  Overall
#102  Relational DBMS
Score0.39
Rank#223  Overall
#11  RDF stores
Score2.67
Rank#96  Overall
#17  Key-value stores
Websiteenterprise.google.com/­search/­products/­gsa.htmlwww.postgres-xl.orgrdf4j.orgrocksdb.org
Technical documentationsupport.google.com/­gsawww.postgres-xl.org/­documentationdocs.rdf4j.orggithub.com/­facebook/­rocksdb/­wiki
DeveloperGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Facebook, Inc.
Initial release20022014 infosince 2012, originally named StormDB20042013
Current release10 R1, October 20186.5.3, January 2020
License infoCommercial or Open SourcecommercialOpen Source infoMozilla public licenseOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC++
Server operating systemsLinux
macOS
Linux
OS X
Unix
Windows
Data schemeyesyes infoRDF Schemasschema-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.noyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesno
SQL infoSupport of SQLnoyes infodistributed, parallel query executionnono
APIs and other access methodsAdministrative API
Browser interface
HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
C++ API
Java API
Supported programming languages.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
PHP
Python
C++
Java
Server-side scripts infoStored proceduresuser defined functionsyesno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoMVCCACID infoIsolation support depends on the API usedyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlUser authentication via various security protocolsfine grained access rights according to SQL-standardnono

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Google Search AppliancePostgres-XLRDF4J infoformerly known as SesameRocksDB
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