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DBMS > AnzoGraph DB vs. FatDB vs. GigaSpaces vs. VelocityDB vs. Yaacomo

System Properties Comparison AnzoGraph DB vs. FatDB vs. GigaSpaces vs. VelocityDB vs. Yaacomo

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonFatDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonVelocityDB  Xexclude from comparisonYaacomo  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.Yaacomo seems to be discontinued 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 virtualizationA .NET NoSQL DBMS that can integrate with and extend SQL Server.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Document store
Object oriented DBMS infoValues are user defined objects
Graph DBMS
Object oriented DBMS
Relational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitecambridgesemantics.com/­anzographwww.gigaspaces.comvelocitydb.comyaacomo.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.gigaspaces.com/­latest/­landing.htmlvelocitydb.com/­UserGuide
DeveloperCambridge SemanticsFatCloudGigaspaces TechnologiesVelocityDB IncQ2WEB GmbH
Initial release20182012200020112009
Current release2.3, January 202115.5, September 20207.x
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercial
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.
Implementation languageC#Java, C++, .NetC#
Server operating systemsLinuxWindowsLinux
macOS
Solaris
Windows
Any that supports .NETAndroid
Linux
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infoXML can be used for describing objects metadatanono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.no infoVia inetgration in SQL ServerSQL-99 for query and DML statementsnoyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
.NetJDBC
ODBC
Supported programming languagesC++
Java
Python
C#.Net
C++
Java
Python
Scala
.Net
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infovia applicationsyesno
Triggersnoyes infovia applicationsyes, event driven architectureCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusterselectable replication factorMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyesyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual Consistency
Immediate Consistency
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlAccess rights for users and rolesno infoCan implement custom security layer via applicationsRole-based access controlBased on Windows Authenticationfine grained access rights according to SQL-standard

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More resources
AnzoGraph DBFatDBGigaSpacesVelocityDBYaacomo
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