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DBMS > AnzoGraph DB vs. Datomic vs. EventStoreDB

System Properties Comparison AnzoGraph DB vs. Datomic vs. EventStoreDB

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonDatomic  Xexclude from comparisonEventStoreDB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityIndustrial-strength, open-source database solution built from the ground up for event sourcing.
Primary database modelGraph DBMS
RDF store
Relational DBMSEvent Store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#297  Overall
#24  Graph DBMS
#14  RDF stores
Score2.33
Rank#131  Overall
#63  Relational DBMS
Score1.36
Rank#178  Overall
#1  Event Stores
Websitecambridgesemantics.com/­anzographwww.datomic.comwww.eventstore.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.datomic.comdevelopers.eventstore.com
DeveloperCambridge SemanticsCognitectEvent Store Limited
Initial release201820122012
Current release2.3, January 20211.0.6735, June 202321.2, February 2021
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercial infolimited edition freeOpen Source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, Clojure
Server operating systemsLinuxAll OS with a Java VMLinux
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyes
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.nono
Secondary indexesnoyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.no
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
RESTful HTTP API
Supported programming languagesC++
Java
Python
Clojure
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoTransaction Functions
TriggersnoBy using transaction functions
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnone infoBut extensive use of caching in the application peers
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusternone infoBut extensive use of caching in the application peers
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)
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 development
User concepts infoAccess controlAccess rights for users and rolesno

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More resources
AnzoGraph DBDatomicEventStoreDB
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