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DBMS > AnzoGraph DB vs. Brytlyt vs. Datomic vs. InterSystems Caché

System Properties Comparison AnzoGraph DB vs. Brytlyt vs. Datomic vs. InterSystems Caché

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonBrytlyt  Xexclude from comparisonDatomic  Xexclude from comparisonInterSystems Caché  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore 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 virtualizationScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA multi-model DBMS and application server
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Websitecambridgesemantics.com/­anzographbrytlyt.iowww.datomic.comwww.intersystems.com/­products/­cache
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.brytlyt.iodocs.datomic.comdocs.intersystems.com
DeveloperCambridge SemanticsBrytlytCognitectInterSystems
Initial release2018201620121997
Current release2.3, January 20215.0, August 20231.0.6735, June 20232018.1.4, May 2020
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialcommercial infolimited edition freecommercial
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 languageC, C++ and CUDAJava, Clojure
Server operating systemsLinuxLinux
OS X
Windows
All OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesyesdepending on used data model
Typing infopredefined data types such as float or dateyesyesyes
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.noyes infospecific XML-type available, but no XML query functionality.noyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesnoyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API.NET Client API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC++
Java
Python
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Clojure
Java
C#
C++
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functions infoin PL/pgSQLyes infoTransaction Functionsyes
TriggersnoyesBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnone infoBut extensive use of caching in the application peersnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSource-replica replicationnone infoBut extensive use of caching in the application peersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
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 developmentyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles

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More resources
AnzoGraph DBBrytlytDatomicInterSystems Caché
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