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DBMS > FatDB vs. GridDB vs. InfluxDB vs. Sphinx

System Properties Comparison FatDB vs. GridDB vs. InfluxDB vs. Sphinx

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGridDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonSphinx  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.Scalable in-memory time series database optimized for IoT and Big DataDBMS for storing time series, events and metricsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store
Key-value store
Time Series DBMSTime Series DBMSSearch engine
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#199  Overall
#11  Time Series DBMS
Score22.88
Rank#29  Overall
#1  Time Series DBMS
Score6.45
Rank#57  Overall
#6  Search engines
Websitegriddb.netwww.influxdata.com/­products/­influxdb-overviewsphinxsearch.com
Technical documentationdocs.griddb.netdocs.influxdata.com/­influxdbsphinxsearch.com/­docs
DeveloperFatCloudToshiba CorporationSphinx Technologies Inc.
Initial release2012201320132001
Current release4.5, June 20201.8.0, April 20203.2.1, January 2020
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoGPL version 2, commercial licence 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#C++GoC++
Server operating systemsWindowsLinuxLinux
OS X infothrough Homebrew
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampNumeric data and Stringsno
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
Secondary indexesyesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLno infoVia inetgration in SQL ServerSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Proprietary protocolHTTP API
JSON over UDP
Proprietary protocol
Supported programming languagesC#C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infovia applicationsnonono
Triggersyes infovia applicationsyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoin enterprise version onlySharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationselectable replication factor infoin enterprise version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at container levelnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engine
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess rights for users can be defined per databasesimple rights management via user accountsno
More information provided by the system vendor
FatDBGridDBInfluxDBSphinx
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
InfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Time to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
IoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
InfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsGitHub trending repository
» more
Fastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
Open source core with closed source clustering available either on-premise or on...
» more

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FatDBGridDBInfluxDBSphinx
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