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DBMS > AnzoGraph DB vs. Datomic vs. EJDB vs. Galaxybase vs. NuoDB

System Properties Comparison AnzoGraph DB vs. Datomic vs. EJDB vs. Galaxybase vs. NuoDB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonDatomic  Xexclude from comparisonEJDB  Xexclude from comparisonGalaxybase  Xexclude from comparisonNuoDB  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 durabilityEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Scalable, ACID-compliant native distributed parallel graph platformNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument storeGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score0.00
Rank#383  Overall
#39  Graph DBMS
Score0.89
Rank#198  Overall
#92  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.datomic.comgithub.com/­Softmotions/­ejdbgalaxybase.comwww.3ds.com/­nuodb-distributed-sql-database
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.datomic.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddoc.nuodb.com
DeveloperCambridge SemanticsCognitectSoftmotionsChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司Dassault Systèmes infooriginally NuoDB, Inc.
Initial release20182012201220172013
Current release2.3, January 20211.0.6735, June 2023Nov 20, November 2021
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercial infolimited edition freeOpen Source infoGPLv2commercialcommercial infolimited edition free
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureCC and JavaC++
Server operating systemsLinuxAll OS with a Java VMserver-lessLinuxhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-freeStrong typed schemayes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyes
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 indexesnoyesnoyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nononoyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
RESTful HTTP APIin-process shared libraryBrowser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
Python
Clojure
Java
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Go
Java
Python
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoTransaction Functionsnouser defined procedures and functionsJava, SQL
TriggersnoBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnone infoBut extensive use of caching in the application peersnoneShardingdata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusternone infoBut extensive use of caching in the application peersnoneyes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnono infotypically not needed, however similar functionality with collection joins possibleyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyesyes infoMVCC
Durability infoSupport for making data persistentyesyes 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.yesyes inforecommended only for testing and developmentyesyes infoTemporary table
User concepts infoAccess controlAccess rights for users and rolesnonoRole-based access controlStandard SQL roles/ privileges, Administrative Users

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More resources
AnzoGraph DBDatomicEJDBGalaxybaseNuoDB
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