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DBMS > FatDB vs. Geode vs. GridGain vs. InfluxDB

System Properties Comparison FatDB vs. Geode vs. GridGain vs. InfluxDB

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGeode  Xexclude from comparisonGridGain  Xexclude from comparisonInfluxDB  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.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesGridGain is an in-memory computing platform, built on Apache IgniteDBMS for storing time series, events and metrics
Primary database modelDocument store
Key-value store
Key-value storeColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.51
Rank#147  Overall
#25  Key-value stores
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score22.12
Rank#28  Overall
#1  Time Series DBMS
Websitegeode.apache.orgwww.gridgain.comwww.influxdata.com/­products/­influxdb-overview
Technical documentationgeode.apache.org/­docswww.gridgain.com/­docs/­index.htmldocs.influxdata.com/­influxdb
DeveloperFatCloudOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GridGain Systems, Inc.
Initial release2012200220072013
Current release1.1, February 2017GridGain 8.5.12.7.6, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial, open sourceOpen Source infoMIT-License; commercial enterprise version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#JavaJava, C++, .Net, Python, REST, SQLGo
Server operating systemsWindowsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Solaris
Windows
z/OS
Linux
OS X infothrough Homebrew
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesNumeric data and Strings
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.noyesno
Secondary indexesyesnoyesno
SQL infoSupport of SQLno infoVia inetgration in SQL ServerSQL-like query language (OQL)ANSI-99 for query and DML statements, subset of DDLSQL-like query language
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Java Client API
Memcached protocol
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
JSON over UDP
Supported programming languagesC#.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyes infovia applicationsuser defined functionsyes (compute grid and cache interceptors can be used instead)no
Triggersyes infovia applicationsyes infoCache Event Listenersyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoin enterprise version only
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationyes (replicated cache)selectable replication factor infoin enterprise version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodeACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoDepending on used storage engine
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess rights per client and object definableRole-based access control
Security Hooks for custom implementations
simple rights management via user accounts
More information provided by the system vendor
FatDBGeodeGridGainInfluxDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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