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

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

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexThe Google Search Appliance consists of hardware and software for indexing documents in local networks.Widely used in-process key-value store
Primary database modelRelational DBMSSearch engineKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.33
Rank#82  Overall
#41  Relational DBMS
Score2.77
Rank#94  Overall
#10  Search engines
Score2.91
Rank#90  Overall
#16  Key-value stores
#2  Native XML DBMS
Websiteclickhouse.yandexenterprise.google.com/­search/­products/­gsa.htmlwww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.html
Technical documentationclickhouse.yandex/­docssupport.google.com/­gsadocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperYandex LLCGoogleOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release201620021994
Current releasev19.13.3.26, August 201918.1 (Core), June 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenonono
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)
Server operating systemsAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-free
Typing infopredefined data types such as float or dateno
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 edition
Secondary indexesyes
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is available
APIs and other access methodsAdministrative API
Browser interface
HTTP 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
Server-side scripts infoStored proceduresno
Triggersyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes
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.noyes
User concepts infoAccess controlUser authentication via various security protocolsno

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More resources
ClickHouseGoogle Search ApplianceOracle Berkeley DB
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