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DBMS > InfluxDB vs. MySQL vs. Teradata vs. Trafodion

System Properties Comparison InfluxDB vs. MySQL vs. Teradata vs. Trafodion

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonMySQL  Xexclude from comparisonTeradata  Xexclude from comparisonTrafodion  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsWidely used open source RDBMSA hybrid cloud data analytics software platform (Teradata Vantage)Transactional SQL-on-Hadoop DBMS
Primary database modelTime Series DBMSRelational DBMS infoKey/Value like access via memcached APIRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score26.32
Rank#27  Overall
#1  Time Series DBMS
Score1252.06
Rank#2  Overall
#2  Relational DBMS
Score72.59
Rank#14  Overall
#9  Relational DBMS
Score0.51
Rank#227  Overall
#110  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.mysql.comwww.teradata.comtrafodion.apache.org
Technical documentationdocs.influxdata.com/­influxdbdev.mysql.com/­docdocs.teradata.comtrafodion.apache.org
DeveloperOracle infosince 2010, originally MySQL AB, then SunTeradataApache Software Foundation, originally developed by HP
Initial release2013199519842014
Current release2.0.2, November 20208.0.23 , January 2021Teradata Vantage 1.0 MU2, January 20192.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availablecommercialOpen Source infoApache 2.0
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.
ScaleGrid for MySQL: Fully managed MySQL hosting on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
Implementation languageGoC and C++C++, Java
Server operating systemsLinux
OS X infothrough Homebrew
FreeBSD
Linux
OS X
Solaris
Windows
hosted
Linux
Linux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyesyes
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.noyesyesno
Secondary indexesnoyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLSQL-like query languageyes infowith proprietary extensionsyes infoSQL 2016 + extensionsyes
APIs and other access methodsHTTP API
JSON over UDP
ADO.NET
JDBC
ODBC
Proprietary native API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
ADO.NET
JDBC
ODBC
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
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxyes infoUDFs, stored procedures, table functions in parallelJava Stored Procedures
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyhorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding infoHashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engineyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infonot for MyISAM storage engineACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyes
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.yes infoDepending on used storage engineyesyesno
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-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
InfluxDBMySQLTeradataTrafodion
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

Trending Aggregate Values by Downsampling with InfluxDB
25 January 2021

Get Inspired by Solutions Built on InfluxDB
22 January 2021

Running InfluxDB 2.0 and Telegraf Using Docker
21 January 2021

New Year, New Do: InfluxData Donates to Charity and Chooses Founder/CTO’s Hairstyle
20 January 2021

Automating SSL Certificate Expiration Monitoring
19 January 2021

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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
InfluxDBMySQLTeradataTrafodion
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
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Time Series DBMS as a new trend?
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Recent citations in the news

InfluxData Time Series Update Ready To Change the Game for IoT, Analytics Apps
6 January 2021, Integration Developers

InfluxData Closes 2020 with Exponential Cloud Growth, Expanding User Base, and Big New Customers
14 January 2021, Business Wire

InfluxData adds Vidya Peters to Board of Directors
22 January 2021, Odessa American

Reasons to switch to the InfluxDB time-series database, explored
25 August 2020, TechHQ

InfluxDB to Revamp Storage Engine for Time-Series Database
30 November 2020, DevOps.com

provided by Google News

Oracle: shift back to red on MySQL Analytics Engine
11 January 2021, ComputerWeekly.com

Dive Into Database Management With This Discounted MySQL Course
14 January 2021, PCMag.com

What is database-as-a-service?
25 January 2021, VentureBeat

Top SQL Interview Questions For Data Scientists
20 January 2021, Analytics India Magazine

How to Download and Install MySQL in Windows 10
10 January 2021, TWCN Tech News

provided by Google News

Teradata Corporation (TDC) Rises 5.26% for January 25
25 January 2021, Equities.com

Teradata Vantage Now Available on the Google Cloud Marketplace
19 January 2021, MarTech Series

Teradata Corporation - Consensus Indicates Potential 15.1% Upside
25 January 2021, DirectorsTalk Interviews

Teradata Vantage arrives on Microsoft Azure Marketplace
13 January 2021, DataCenterNews Asia

Teradata Vantage arrives on Google Cloud Marketplace
20 January 2021, Capacity Media

provided by Google News

The Apache Software Foundation Announces Apache® Trafodion™ as a Top-Level Project
10 January 2018, GlobeNewswire

Apache Releases Trafodion
29 March 2018, iProgrammer

The Apache® Software Foundation Announces Annual Report for 2020 Fiscal Year
29 July 2020, GlobeNewswire

Apache HBase Is Everywhere
21 June 2016, DZone News

How Facebook Accelerates SQL at Extreme Scale
31 August 2020, Datanami

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