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DBMS > AgensGraph vs. FatDB vs. GigaSpaces vs. NSDb vs. VelocityDB

System Properties Comparison AgensGraph vs. FatDB vs. GigaSpaces vs. NSDb vs. VelocityDB

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonFatDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonNSDb  Xexclude from comparisonVelocityDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA .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 TransactionsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelGraph DBMS
Relational DBMS
Document store
Key-value store
Document store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitebitnine.net/­agensgraphwww.gigaspaces.comnsdb.iovelocitydb.com
Technical documentationbitnine.net/­documentationdocs.gigaspaces.com/­latest/­landing.htmlnsdb.io/­Architecturevelocitydb.com/­UserGuide
DeveloperBitnine Global Inc.FatCloudGigaspaces TechnologiesVelocityDB Inc
Initial release20162012200020172011
Current release2.1, December 201815.5, September 20207.x
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache Version 2.0commercial
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 languageCC#Java, C++, .NetJava, ScalaC#
Server operating systemsLinux
OS X
Windows
WindowsLinux
macOS
Solaris
Windows
Linux
macOS
Any that supports .NET
Data schemedepending on used data modelschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, stringyes
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 indexesyesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLyesno infoVia inetgration in SQL ServerSQL-99 for query and DML statementsSQL-like query languageno
APIs and other access methodsCypher Query Language
JDBC
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
gRPC
HTTP REST
WebSocket
.Net
Supported programming languagesC
Java
JavaScript
Python
C#.Net
C++
Java
Python
Scala
Java
Scala
.Net
Server-side scripts infoStored proceduresyesyes infovia applicationsyesnono
Triggersnoyes infovia applicationsyes, event driven architectureCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoCan implement custom security layer via applicationsRole-based access controlBased on Windows Authentication

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More resources
AgensGraphFatDBGigaSpacesNSDbVelocityDB
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