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DBMS > AgensGraph vs. AnzoGraph DB vs. Datastax Enterprise vs. Faircom DB vs. VelocityDB

System Properties Comparison AgensGraph vs. AnzoGraph DB vs. Datastax Enterprise vs. Faircom DB vs. VelocityDB

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLScalable 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.Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelGraph DBMS
Relational DBMS
Graph DBMS
RDF store
Wide column storeKey-value store
Relational DBMS
Graph DBMS
Object oriented 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
Score0.17
Rank#320  Overall
#29  Graph DBMS
#143  Relational DBMS
Score0.22
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score4.82
Rank#65  Overall
#4  Wide column stores
Score0.18
Rank#314  Overall
#45  Key-value stores
#141  Relational DBMS
Score0.00
Rank#385  Overall
#40  Graph DBMS
#21  Object oriented DBMS
Websitebitnine.net/­agensgraphcambridgesemantics.com/­anzographwww.datastax.com/­products/­datastax-enterprisewww.faircom.com/­products/­faircom-dbvelocitydb.com
Technical documentationbitnine.net/­documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.datastax.comdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlvelocitydb.com/­UserGuide
DeveloperBitnine Global Inc.Cambridge SemanticsDataStaxFairCom CorporationVelocityDB Inc
Initial release20162018201119792011
Current release2.1, December 20182.3, January 20216.8, April 2020V13, July 20247.x
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infofree trial version availablecommercialcommercial infoRestricted, free version availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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 languageCJavaANSI C, C++C#
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Any that supports .NET
Data schemedepending on used data modelSchema-free and OWL/RDFS-schema supportschema-freeschema free, schema optional, schema required, partial schema,yes
Typing infopredefined data types such as float or dateyesyesyes, ANSI SQL Types, JSON, typed binary structuresyes
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.nonononono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like DML and DDL statements (CQL); Spark SQLyes, ANSI SQL with proprietary extensionsno
APIs and other access methodsCypher Query Language
JDBC
Apache 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
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
.Net
Supported programming languagesC
Java
JavaScript
Python
C++
Java
Python
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesnoyes info.Net, JavaScript, C/C++no
TriggersnonoyesyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceAutomatic shardingSharding infono "single point of failure"File partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication in MPP-Clusterconfigurable replication factor, datacenter aware, advanced replication for edge computingyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency
Foreign keys infoReferential integrityyesno infonot needed in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoAtomicity and isolation are supported for single operationstunable from ACID to Eventually ConsistentACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesYes, tunable from durable to delayed durability to in-memoryyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesAccess rights for users can be defined per objectFine grained access rights according to SQL-standard with additional protections for filesBased on Windows Authentication
More information provided by the system vendor
AgensGraphAnzoGraph DBDatastax EnterpriseFaircom DB infoformerly c-treeACEVelocityDB
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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More resources
AgensGraphAnzoGraph DBDatastax EnterpriseFaircom DB infoformerly c-treeACEVelocityDB
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