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

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

Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonDatomic  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Datomic 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.
Primary database modelRelational DBMSWide column storeRelational DBMSSearch engineDocument store
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.24
Rank#73  Overall
#39  Relational DBMS
Score8.48
Rank#46  Overall
#4  Wide column stores
Score1.99
Rank#110  Overall
#53  Relational DBMS
Score2.70
Rank#95  Overall
#11  Search engines
Score0.58
Rank#199  Overall
#30  Document stores
Websiteclickhouse.techwww.datastax.com/­products/­datastax-enterprisewww.datomic.comenterprise.google.com/­search/­products/­gsa.htmlwww.percona.com/­software/­mongo-database/­percona-server-for-mongodb
Technical documentationclickhouse.tech/­docsdocs.datastax.comdocs.datomic.comsupport.google.com/­gsawww.percona.com/­doc/­percona-server-for-mongodb/­LATEST/­index.html
DeveloperYandex LLCDataStaxCognitectGooglePercona
Initial release20162011201220022015
Current releasev19.13.3.26, August 20196.7, December 20180.9.5951, July 20193.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infolimited edition freecommercialOpen 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 languageJavaJava, ClojureC++
Server operating systemsLinux
OS X
All OS with a Java VMLinux
Data schemeschema-freeyesschema-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 SQLSQL-like DML and DDL statements (CQL); Spark SQLnonono
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
RESTful HTTP APIAdministrative API
Browser interface
HTTP API
proprietary protocol using JSON
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
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
Server-side scripts infoStored proceduresnoyes infoTransaction FunctionsJavaScript
TriggersyesBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"none infoBut extensive use of caching in the application peersShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingnone infoBut extensive use of caching in the application peersMaster-slave replicationMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentnoyes infovia In-Memory Engine
User concepts infoAccess controlAccess rights for users can be defined per objectnoUser authentication via various security protocolsAccess rights for users and roles
More information provided by the system vendor
ClickHouseDatastax EnterpriseDatomicGoogle Search AppliancePercona Server for MongoDB
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
» more
Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald’s, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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More resources
ClickHouseDatastax EnterpriseDatomicGoogle Search AppliancePercona Server for MongoDB
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