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DBMS > Google Search Appliance vs. Oracle Berkeley DB vs. TerarkDB

System Properties Comparison Google Search Appliance vs. Oracle Berkeley DB vs. TerarkDB

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Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.Widely used in-process key-value storeA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelSearch engineKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.77
Rank#94  Overall
#10  Search engines
Score2.91
Rank#90  Overall
#16  Key-value stores
#2  Native XML DBMS
Score0.06
Rank#315  Overall
#54  Key-value stores
Websiteenterprise.google.com/­search/­products/­gsa.htmlwww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.htmlgithub.com/­Terark/­terarkdb
Technical documentationsupport.google.com/­gsadocs.oracle.com/­cd/­E17076_05/­html/­index.htmlgithub.com/­Terark/­terarkdb/­wiki
DeveloperGoogleOracle infooriginally developed by Sleepycat, which was acquired by OracleTerark
Initial release200219942016
Current release18.1 (Core), June 2018
License infoCommercial or Open SourcecommercialOpen Source infocommercial license availablecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemsAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or datenono
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 editionno
Secondary indexesyesno
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsAdministrative API
Browser interface
HTTP API
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
C++
Java
Server-side scripts infoStored proceduresnono
Triggersyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-slave replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUser authentication via various security protocolsnono

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More resources
Google Search ApplianceOracle Berkeley DBTerarkDB
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