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DBMS > AnzoGraph DB vs. Datastax Enterprise vs. OpenQM

System Properties Comparison AnzoGraph DB vs. Datastax Enterprise vs. OpenQM

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.QpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelGraph DBMS
RDF store
Wide column storeMultivalue DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector 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
Score6.31
Rank#57  Overall
#4  Wide column stores
Score0.33
Rank#286  Overall
#10  Multivalue DBMS
Websitecambridgesemantics.com/­anzographwww.datastax.com/­products/­datastax-enterprisewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.datastax.com
DeveloperCambridge SemanticsDataStaxRocket Software, originally Martin Phillips
Initial release201820111993
Current release2.3, January 20216.8, April 20203.4-12
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJava
Server operating systemsLinuxLinux
OS X
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyes infowith some exceptions
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.nonoyes
Secondary indexesnoyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like DML and DDL statements (CQL); Spark SQLno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Supported programming languagesC++
Java
Python
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infono "single point of failure"yes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusterconfigurable replication factor, datacenter aware, advanced replication for edge computingyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per objectAccess rights can be defined down to the item level
More information provided by the system vendor
AnzoGraph DBDatastax EnterpriseOpenQM infoalso called QM
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» 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
AnzoGraph DBDatastax EnterpriseOpenQM infoalso called QM
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