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DBMS > FatDB vs. GridGain vs. InfluxDB vs. TypeDB

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

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGridGain  Xexclude from comparisonInfluxDB  Xexclude from comparisonTypeDB infoformerly named Grakn  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 IgniteDBMS for storing time series, events and metricsTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelDocument store
Key-value store
Key-value store
Relational DBMS
Time Series DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsSpatial DBMS infowith GEO package
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
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websitewww.gridgain.comwww.influxdata.com/­products/­influxdb-overviewtypedb.com
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.influxdata.com/­influxdbtypedb.com/­docs
DeveloperFatCloudGridGain Systems, Inc.Vaticle
Initial release2012200720132016
Current releaseGridGain 8.5.12.7.6, April 20242.26.3, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#Java, C++, .NetGoJava
Server operating systemsWindowsLinux
OS X
Solaris
Windows
Linux
OS X infothrough Homebrew
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsyes
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.yesnono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServerANSI-99 for query and DML statements, subset of DDLSQL-like query languageno
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
JSON over UDP
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesC#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
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyes infovia applicationsyes (compute grid and cache interceptors can be used instead)nono
Triggersyes infovia applicationsyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoin enterprise version onlySharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes (replicated cache)selectable replication factor infoin enterprise version onlyMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)noyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
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.yesyes infoDepending on used storage engineno
User concepts infoAccess controlno infoCan implement custom security layer via applicationsSecurity Hooks for custom implementationssimple rights management via user accountsyes infoat REST API level; other APIs in progress
More information provided by the system vendor
FatDBGridGainInfluxDBTypeDB infoformerly named Grakn
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» 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
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
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