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

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

Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonDatomic  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonInterbase  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.Light-weight proven RDBMS infooriginally from BorlandA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelRelational DBMSRelational DBMSSearch engineRelational DBMSDocument 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
Score6.46
Rank#53  Overall
#30  Relational DBMS
Score0.58
Rank#197  Overall
#30  Document stores
Websiteclickhouse.techwww.datomic.comenterprise.google.com/­search/­products/­gsa.htmlwww.embarcadero.com/­products/­interbasewww.percona.com/­software/­mongo-database/­percona-server-for-mongodb
Technical documentationclickhouse.tech/­docsdocs.datomic.comsupport.google.com/­gsadocs.embarcadero.com/­products/­interbasewww.percona.com/­doc/­percona-server-for-mongodb/­LATEST/­index.html
DeveloperYandex LLCCognitectGoogleEmbarcaderoPercona
Initial release20162012200219842015
Current releasev19.13.3.26, August 20190.9.5951, July 2019InterBase 2017, March 20173.4.10-2.10, 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 servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureCC++
Server operating systemsAll OS with a Java VMAndroid
iOS
Linux
OS X
Windows
Linux
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.nonono infoexport as XML data possibleno
Secondary indexesyesyesyes
SQL infoSupport of SQLnonoyesno
APIs and other access methodsRESTful HTTP APIAdministrative API
Browser interface
HTTP API
ADO.NET
JDBC
ODBC
proprietary protocol using JSON
Supported programming languagesClojure
Java
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
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 Functionsyes infoInterbase procedure and trigger languageJavaScript
TriggersBy using transaction functionsyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMaster-slave replicationInterbase Change ViewsMaster-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 integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyes
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 developmentnoyesyes infovia In-Memory Engine
User concepts infoAccess controlnoUser authentication via various security protocolsfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
ClickHouseDatomicGoogle Search ApplianceInterbasePercona Server for MongoDB
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