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

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

Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonDatomic  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSolr  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.A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSSearch engineDocument storeSearch engine
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
Score53.59
Rank#17  Overall
#3  Search engines
Websiteclickhouse.techwww.datomic.comenterprise.google.com/­search/­products/­gsa.htmlwww.percona.com/­software/­mongo-database/­percona-server-for-mongodblucene.apache.org/­solr
Technical documentationclickhouse.tech/­docsdocs.datomic.comsupport.google.com/­gsawww.percona.com/­doc/­percona-server-for-mongodb/­LATEST/­index.htmllucene.apache.org/­solr/­resources.html
DeveloperYandex LLCCognitectGooglePerconaApache Software Foundation
Initial release20162012200220152006
Current releasev19.13.3.26, August 20190.9.5951, July 20193.4.10-2.10, November 20178.5.0, March 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infolimited edition freecommercialOpen Source infoGPL Version 2Open Source infoApache 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, ClojureC++Java
Server operating systemsAll OS with a Java VMLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typing
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.nononoyes
Secondary indexesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnononoSolr Parallel SQL Interface
APIs and other access methodsRESTful HTTP APIAdministrative API
Browser interface
HTTP API
proprietary protocol using JSONJava API
RESTful HTTP/JSON API
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
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoTransaction FunctionsJavaScriptJava plugins
TriggersBy using transaction functionsnoyes infoUser configurable commands triggered on index changes
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 replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesspark-solr: github.com/­lucidworks/­spark-solr; and streaming expressions to reduce
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 dataACIDnooptimistic locking
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 Engineyes
User concepts infoAccess controlnoUser authentication via various security protocolsAccess rights for users and rolesyes

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More resources
ClickHouseDatomicGoogle Search AppliancePercona Server for MongoDBSolr
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