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DBMS > InfluxDB vs. MySQL vs. Sadas Engine vs. Teradata

System Properties Comparison InfluxDB vs. MySQL vs. Sadas Engine vs. Teradata

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonMySQL  Xexclude from comparisonSadas Engine  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsWidely used open source RDBMSSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environmentsA hybrid cloud data analytics software platform (Teradata Vantage)
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
Score0.00
Rank#333  Overall
#138  Relational DBMS
Score72.59
Rank#14  Overall
#9  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.mysql.comwww.sadasengine.comwww.teradata.com
Technical documentationdocs.influxdata.com/­influxdbdev.mysql.com/­docwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-dbdocs.teradata.com
DeveloperOracle infosince 2010, originally MySQL AB, then SunSADAS s.r.l.Teradata
Initial release2013199520061984
Current release2.0.2, November 20205.7.32 , October 20208.0Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availablecommercial infofree trial version availablecommercial
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++
Server operating systemsLinux
OS X infothrough Homebrew
FreeBSD
Linux
OS X
Solaris
Windows
AIX
Linux
Windows
hosted
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.noyesnoyes
Secondary indexesnoyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like query languageyes infowith proprietary extensionsyesyes infoSQL 2016 + extensions
APIs and other access methodsHTTP API
JSON over UDP
ADO.NET
JDBC
ODBC
Proprietary native API
JDBC
ODBC
Proprietary protocol
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
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
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxnoyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyhorizontal partitioning, sharding with MySQL Cluster or MySQL Fabrichorizontal partitioningSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyMulti-source replication
Source-replica replication
noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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 engineACID
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 engineyesyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlsimple rights management via user accountsUsers with fine-grained authorization concept infono user groups or rolesAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
InfluxDBMySQLSadas EngineTeradata
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

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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
InfluxDBMySQLSadas EngineTeradata
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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Recent citations in the news

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
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InfluxDB to Revamp Storage Engine for Time-Series Database
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provided by Google News

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provided by Google News

Teradata Corporation (TDC) Dips 3.31% for January 22
22 January 2021, Equities.com

Teradata Vantage Now Available on the Google Cloud Marketplace
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