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DBMS > Google Search Appliance vs. Oracle Berkeley DB vs. Postgres-XL vs. RocksDB

System Properties Comparison Google Search Appliance vs. Oracle Berkeley DB vs. Postgres-XL vs. RocksDB

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Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonOracle Berkeley DB  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.Widely used in-process key-value storeBased 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 engineKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational 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
Score2.98
Rank#87  Overall
#15  Key-value stores
#2  Native XML 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.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.htmlwww.postgres-xl.orgrocksdb.org
Technical documentationsupport.google.com/­gsadocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.postgres-xl.org/­documentationgithub.com/­facebook/­rocksdb/­wiki
DeveloperGoogleOracle infooriginally developed by Sleepycat, which was acquired by OracleFacebook, Inc.
Initial release200219942014 infosince 2012, originally named StormDB2013
Current release18.1 (Core), June 201810 R1, October 20186.5.3, January 2020
License infoCommercial or Open SourcecommercialOpen Source infocommercial license availableOpen 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 languageC, Java, C++ (depending on the Berkeley DB edition)CC++
Server operating systemsAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
macOS
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesno
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 infoonly with the Berkeley DB XML editionyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesno
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is availableyes infodistributed, parallel query executionno
APIs and other access methodsAdministrative API
Browser interface
HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
C++ API
Java API
Supported programming languages.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
Perl
Python
Tcl
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersyes infoonly for the SQL APIyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-slave replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesnoyes
User concepts infoAccess controlUser authentication via various security protocolsnofine grained access rights according to SQL-standardno

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More resources
Google Search ApplianceOracle Berkeley DBPostgres-XLRocksDB
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