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DBMS > InfluxDB vs. MySQL vs. OmniSci

System Properties Comparison InfluxDB vs. MySQL vs. OmniSci

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonMySQL  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsWidely used open source RDBMSA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelTime Series DBMSRelational DBMS infoKey/Value like access via memcached APIRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score28.52
Rank#28  Overall
#1  Time Series DBMS
Score1219.77
Rank#2  Overall
#2  Relational DBMS
Score1.23
Rank#157  Overall
#76  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.mysql.comwww.omnisci.com
Technical documentationdocs.influxdata.com/­influxdbdev.mysql.com/­docdocs.omnisci.com
DeveloperOracle infosince 2010, originally MySQL AB, then SunMapD Technologies, Inc.
Initial release201319952016
Current release2.0.8, August 20218.0.27, October 20215.6, April 2021
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC and C++C++ and CUDA
Server operating systemsLinux
OS X infothrough Homebrew
FreeBSD
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyes
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 indexesnoyesno
SQL infoSupport of SQLSQL-like query languageyes infowith proprietary extensionsyes
APIs and other access methodsHTTP API
JSON over UDP
ADO.NET
JDBC
ODBC
Proprietary native API
JDBC
ODBC
Thrift
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyhorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyMulti-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infonot for MyISAM storage engineno
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyesyes
User concepts infoAccess controlsimple rights management via user accountsUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
InfluxDBMySQLOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
News

InfluxData Kicks Off InfluxDays North America, Releasing New Features to Expedite Application Building
26 October 2021

By Developers, for Developers: New Offerings Announced at InfluxDays North America
26 October 2021

See You Tomorrow at InfluxDays North America 2021
25 October 2021

Release Announcement: InfluxDB CLI 2.2.0
22 October 2021

InfluxDB Cloud and Telegraf for the Home Lab
22 October 2021

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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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
InfluxDBMySQLOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

show all

MySQL is the DBMS of the Year 2019
3 January 2020, Matthias Gelbmann, Paul Andlinger

MariaDB strengthens its position in the open source RDBMS market
5 April 2018, Matthias Gelbmann

The struggle for the hegemony in Oracle's database empire
2 May 2017, Paul Andlinger

show all

Recent citations in the news

InfluxDB updates aimed at making it easier to build time-series database apps
26 October 2021, SiliconANGLE News

InfluxData Brings Kubernetes Expertise to KubeCon + CloudNativeCon North America 2021
5 October 2021, Business Wire

InfluxData Announces New Executive Leadership Appointments
28 September 2021, Business Wire

InfluxData to Host Annual User Conference InfluxDays North America
12 October 2021, Business Wire

Monitoring PLC and SCADA Systems Using MQTT and InfluxDB -- ADTmag
30 September 2021, ADT Magazine

provided by Google News

The 7 Best Reasons to Choose MySQL for Organizing Your Web Database
15 October 2021, JAXenter

TuxCare Services Launches Database Live Patching for MySQL, MariaDB and PostgreSQL - No Maintenance Window Required
6 October 2021, Business Wire

2 ways to Install Mysql Workbench on Debian 11 Bullseye Linux
2 October 2021, H2S Media

The database revolution driving Oracle's new cloud giant status
7 October 2021, SiliconANGLE News

Google Opens Up Spanner Database With PostgreSQL Interface
13 October 2021, The Next Platform

provided by Google News

GPU Database Market 2025: Strong Sales Outlook Ahead | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox – Puck77
22 October 2021, Puck77

“Global GPU Database Market SWOT Analysis 2021 by Top Manufacturers: Kinetica , Omnisci , Sqream , Neo4j , Nvidia , Brytlyt , Jedox , Blazegraph , Blazingdb , Zilliz , Heterodb , H2o.Ai , Fastdata.Io , Fuzzy Logix , Graphistry , Anaconda , etc….” – Puck77
21 October 2021, Puck77

GPU Database Market 2021-2028: Major Trends and Key Developments | Kinetica, Omnisci, Sqream, Neo4j – Puck77
22 October 2021, Puck77

Unforeseen Drivers Contributing to GPU Database Market by Kinetica, OmniSci, SQream, Neo4j, NVIDIA – Puck77
20 October 2021, Puck77

GPU Database Market SWOT Analysis, Key Indicators, Forecast 2027 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox. – Puck77
21 October 2021, Puck77

provided by Google News

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