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

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

Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonDatomic  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSequoiadb  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.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.NewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMSRelational DBMSSearch engineDocument storeDocument store
Relational DBMS
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
Score0.58
Rank#197  Overall
#30  Document stores
Score0.29
Rank#247  Overall
#34  Document stores
#116  Relational DBMS
Websiteclickhouse.techwww.datomic.comenterprise.google.com/­search/­products/­gsa.htmlwww.percona.com/­software/­mongo-database/­percona-server-for-mongodbwww.sequoiadb.com
Technical documentationclickhouse.tech/­docsdocs.datomic.comsupport.google.com/­gsawww.percona.com/­doc/­percona-server-for-mongodb/­LATEST/­index.htmlwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperYandex LLCCognitectGooglePerconaSequoiadb Ltd.
Initial release20162012200220152013
Current releasev19.13.3.26, August 20190.9.5951, July 20193.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infolimited edition freecommercialOpen Source infoGPL Version 2Open Source infoServer: AGPL; Client: Apache V2
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, ClojureC++C++
Server operating systemsAll OS with a Java VMLinuxLinux
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infooid, date, timestamp, binary, regex
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 SQLnononoSQL-like query language
APIs and other access methodsRESTful HTTP APIAdministrative API
Browser interface
HTTP API
proprietary protocol using JSONproprietary protocol using JSON
Supported programming languagesClojure
Java
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
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyes infoTransaction FunctionsJavaScriptJavaScript
TriggersBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMaster-slave replicationMaster-slave replicationMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoDocument is locked during a transaction
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 developmentnoyes infovia In-Memory Engineno
User concepts infoAccess controlnoUser authentication via various security protocolsAccess rights for users and rolessimple password-based access control

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More resources
ClickHouseDatomicGoogle Search AppliancePercona Server for MongoDBSequoiadb
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