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DBMS > ClickHouse vs. Datomic vs. Google Search Appliance vs. Microsoft Azure Search vs. Percona Server for MongoDB

System Properties Comparison ClickHouse vs. Datomic vs. Google Search Appliance vs. Microsoft Azure Search vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonDatomic  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonMicrosoft Azure Search  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityThe Google Search Appliance consists of hardware and software for indexing documents in local networks.Search-as-a-service for web and mobile app developmentA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelRelational DBMSRelational DBMSSearch engineSearch engineDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.40
Rank#71  Overall
#39  Relational DBMS
Score1.98
Rank#111  Overall
#53  Relational DBMS
Score2.62
Rank#95  Overall
#11  Search engines
Score6.22
Rank#55  Overall
#6  Search engines
Score0.58
Rank#197  Overall
#30  Document stores
Websiteclickhouse.techwww.datomic.comenterprise.google.com/­search/­products/­gsa.htmlazure.microsoft.com/­en-us/­services/­searchwww.percona.com/­software/­mongo-database/­percona-server-for-mongodb
Technical documentationclickhouse.tech/­docsdocs.datomic.comsupport.google.com/­gsadocs.microsoft.com/­en-us/­azure/­searchwww.percona.com/­doc/­percona-server-for-mongodb/­LATEST/­index.html
DeveloperYandex LLCCognitectGoogleMicrosoftPercona
Initial release20162012200220152015
Current releasev19.13.3.26, August 20190.9.5951, July 2019V13.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infolimited edition freecommercialcommercialOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++
Server operating systemsAll OS with a Java VMhostedLinux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.nononono
Secondary indexesyesyesyes
SQL infoSupport of SQLnononono
APIs and other access methodsRESTful HTTP APIAdministrative API
Browser interface
HTTP API
RESTful HTTP APIproprietary protocol using JSON
Supported programming languagesClojure
Java
.Net
C#
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresyes infoTransaction FunctionsnoJavaScript
TriggersBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMaster-slave replicationyes infoImplicit feature of the cloud serviceMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnonoyes infovia In-Memory Engine
User concepts infoAccess controlnoUser authentication via various security protocolsyes infousing Azure authenticationAccess rights for users and roles

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More resources
ClickHouseDatomicGoogle Search ApplianceMicrosoft Azure SearchPercona Server for MongoDB
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