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DBMS > FatDB vs. InfluxDB vs. Redis

System Properties Comparison FatDB vs. InfluxDB vs. Redis

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonRedis  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.DBMS for storing time series, events and metricsPopular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.
Primary database modelDocument store
Key-value store
Time Series DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence
Secondary database modelsSpatial DBMS infowith GEO packageDocument store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Search engine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.09
Rank#28  Overall
#1  Time Series DBMS
Score177.98
Rank#6  Overall
#1  Key-value stores
Websitewww.influxdata.com/­products/­influxdb-overviewredis.com
redis.io
Technical documentationdocs.influxdata.com/­influxdbdocs.redis.com/­latest/­index.html
redis.io/­documentation
Social network pagesFacebookLinkedInTwitterYouTubeDiscord
DeveloperFatCloudRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.
Initial release201220132009
Current release2.0.8, August 20216.2.6, October 2021
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infosource-available extensions (modules), commercial licenses for Redis Enterprise
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#GoC
Server operating systemsWindowsLinux
OS X infothrough Homebrew
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesNumeric data and Stringspartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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 indexesyesnoyes infowith RediSearch module
SQL infoSupport of SQLno infoVia inetgration in SQL ServerSQL-like query languageno
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP API
JSON over UDP
proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesC#.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresyes infovia applicationsnoLua; Redis Functions coming in Redis 7 (slides and Github)
Triggersyes infovia applicationsnopublish/subscribe channels provide some trigger functionality; RedisGears
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlySharding infoAutomatic hash-based sharding with support for hash-tags for manual sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infoin enterprise version onlyMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnothrough RedisGears
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic execution of command blocks and scripts and optimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationssimple rights management via user accountsAccess Control Lists (ACLs): redis.io/­topics/­acl
LDAP and Role-Based Access Control (RBAC) for Redis Enterprise
Mutual TLS authentication: redis.io/­topics/­encryption
Password-based authentication
More information provided by the system vendor
FatDBInfluxDBRedis
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
The Redis real-time data platform builds upon the unmatched simplicity and speed...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Redis Enterprise is a robust in-memory database platform built by the people who...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Redis Enterprise is used by large enterprise, startup, and government organizations...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Verizon, Vodafone, Atlassian, Trip Advisor, Jet.com, Nokia, Samsung, HTC, Docker,...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Most launched Docker container per day according to Docker Hub (7.2M launches per...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
Redis Enterprise Cloud lets users scale up and down instantly, and pay only for the...
» more
News

Why I Joined InfluxData – Patrick Williams
21 January 2022

Flux Join Tutorial – Enrich Time Series Data with Data from PostgreSQL
20 January 2022

Telegraf Best Practices: Config Recommendations and Performance Monitoring
18 January 2022

Volvo Uses InfluxDB to Evolve Its DevOps Monitoring to Enable Data-Driven Decisions
14 January 2022

HighByte and InfluxDB Provide Critical OEE Data for Manufacturing Companies
13 January 2022

We invite representatives of system vendors to contact us for updating and extending the system information,
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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DB-Engines blog posts

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