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

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

Editorial information provided by DB-Engines
NameAnzoGraph  Xexclude from comparisonClickHouse  Xexclude from comparisonDatomic  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionGraph Analytics Database (OLAP) that is MPP and standards-basedColumn-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.
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSSearch engineDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.11
Rank#280  Overall
#24  Graph DBMS
#15  RDF stores
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
Websitewww.anzograph.comclickhouse.techwww.datomic.comenterprise.google.com/­search/­products/­gsa.htmlwww.percona.com/­software/­mongo-database/­percona-server-for-mongodb
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmclickhouse.tech/­docsdocs.datomic.comsupport.google.com/­gsawww.percona.com/­doc/­percona-server-for-mongodb/­LATEST/­index.html
DeveloperCambridge SemanticsYandex LLCCognitectGooglePercona
Initial release20182016201220022015
Current release2.1, February 2020v19.13.3.26, August 20190.9.5951, July 20193.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial 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 languageJava, ClojureC++
Server operating systemsLinuxAll OS with a Java VMLinux
Data schemeyes infoRDF schemasyesschema-free
Typing infopredefined data types such as float or dateyesyes
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 indexesnoyesyes
SQL infoSupport of SQLSPARQL is used as query languagenonono
APIs and other access methodsgRPC
JDBC
OpenCypher
RESTful HTTP API
SPARQL
RESTful HTTP APIAdministrative API
Browser interface
HTTP API
proprietary protocol using JSON
Supported programming languagesC++
Java
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 proceduresuser defined functionsyes infoTransaction FunctionsJavaScript
TriggersnoBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMaster-slave replicationMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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 controlnoUser authentication via various security protocolsAccess rights for users and roles
More information provided by the system vendor
AnzoGraphClickHouseDatomicGoogle Search AppliancePercona Server for MongoDB
Specific characteristicsAnzoGraph DB is a massively parallel processing (MPP) native graph database built...
» more
Competitive advantagesAnzoGraph DB’s flexible data model and analytical capabilities not only let you load...
» more
Typical application scenariosDevelopers can use AnzoGraph DB to build and execute data warehouse-style BI analytics...
» more
Key customersAnzograph DB has customers in biotech, pharma, financial services and other verticals.
» more
Licensing and pricing modelsAnzoGraph DB is offered in a free version, free for commercial use for workloads...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
AnzoGraphClickHouseDatomicGoogle Search AppliancePercona Server for MongoDB
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