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DBMS > FatDB vs. GridGain vs. Quasardb vs. RavenDB

System Properties Comparison FatDB vs. GridGain vs. Quasardb vs. RavenDB

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGridGain  Xexclude from comparisonQuasardb  Xexclude from comparisonRavenDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.GridGain is an in-memory computing platform, built on Apache IgniteDistributed, high-performance timeseries databaseOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelDocument store
Key-value store
Key-value store
Relational DBMS
Time Series DBMSDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitewww.gridgain.comquasar.airavendb.net
Technical documentationwww.gridgain.com/­docs/­index.htmldoc.quasar.ai/­masterravendb.net/­docs
DeveloperFatCloudGridGain Systems, Inc.quasardbHibernating Rhinos
Initial release2012200720092010
Current releaseGridGain 8.5.13.14.1, January 20245.4, July 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL version 3, commercial license available
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#Java, C++, .NetC++C#
Server operating systemsWindowsLinux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryno
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.yesno
Secondary indexesyesyesyes infowith tagsyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServerANSI-99 for query and DML statements, subset of DDLSQL-like query languageSQL-like query language (RQL)
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC#C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infovia applicationsyes (compute grid and cache interceptors can be used instead)noyes
Triggersyes infovia applicationsyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes (replicated cache)Source-replica replication with selectable replication factorMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)with Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient mode
User concepts infoAccess controlno infoCan implement custom security layer via applicationsSecurity Hooks for custom implementationsCryptographically strong user authentication and audit trailAuthorization levels configured per client per database

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More resources
FatDBGridGainQuasardbRavenDB
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