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DBMS > AnzoGraph DB vs. Datomic vs. Hypertable vs. SQream DB

System Properties Comparison AnzoGraph DB vs. Datomic vs. Hypertable vs. SQream DB

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonDatomic  Xexclude from comparisonHypertable  Xexclude from comparisonSQream DB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
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 durabilityAn open source BigTable implementation based on distributed file systems such as Hadoopa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelGraph DBMS
RDF store
Relational DBMSWide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score0.73
Rank#228  Overall
#105  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.datomic.comsqream.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.datomic.comdocs.sqream.com
DeveloperCambridge SemanticsCognitectHypertable Inc.SQream Technologies
Initial release2018201220092017
Current release2.3, January 20211.0.6735, June 20230.9.8.11, March 20162022.1.6, December 2022
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercial infolimited edition freeOpen Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++C++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes, ANSI Standard SQL Types
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 indexesnoyesrestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nonoyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
RESTful HTTP APIC++ API
Thrift
.Net
JDBC
ODBC
Supported programming languagesC++
Java
Python
Clojure
Java
C++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoTransaction Functionsnouser defined functions in Python
TriggersnoBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnone infoBut extensive use of caching in the application peersShardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusternone infoBut extensive use of caching in the application peersselectable replication factor on file system levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
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 development
User concepts infoAccess controlAccess rights for users and rolesnono

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More resources
AnzoGraph DBDatomicHypertableSQream DB
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