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DBMS > InfluxDB vs. Teradata

System Properties Comparison InfluxDB vs. Teradata

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Our visitors often compare InfluxDB and Teradata with MySQL, PostgreSQL and Microsoft SQL Server.

Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.00
Rank#34  Overall
#1  Time Series DBMS
Score77.83
Rank#15  Overall
#10  Relational DBMS
Websitewww.influxdata.com/­time-series-platform/­influxdbwww.teradata.com
Technical documentationdocs.influxdata.com/­influxdbdocs.teradata.com
DeveloperTeradata
Initial release20131984
Current release1.7.6, April 2019Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo
Server operating systemsLinux
OS X infothrough Homebrew
hosted
Linux
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateNumeric data and Stringsyes
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.noyes
Secondary indexesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like query languageyes infoSQL 2016 + extensions
APIs and other access methodsHTTP API
JSON over UDP
.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
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnoyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlySharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
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 controlsimple rights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
InfluxDBTeradata
Specific characteristicsInfluxData includes the open source time-series database InfluxDB . It supports high...
» 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 , the creator of InfluxDB, delivers a modern Open Source Platform built...
» more
Market metricsFastest growing database to garnish 14,018 github stars Over 148,000 servers deployed...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more

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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
InfluxDBTeradata
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

Teradata is the most popular data warehouse DBMS
2 April 2013, Paul Andlinger

show all

Conferences and events

Teradata Universe 2019
Denver, Colorado, USA, 20-24 October 2019

Recent citations in the news

InfluxData Launches InfluxAces, Global Community Evangelist Program
1 July 2019, Yahoo Finance

Simplify Kubernetes in AWS with the Amazon EKS Service, Part 3: Dashboard and Components
10 July 2019, Virtualization Review

Why time series databases are exploding in popularity
26 June 2019, TechRepublic

How you're losing developers' interest (and how to gain it)
3 July 2019, TechRepublic

InfluxData Opens InfluxDB Cloud 2.0 to Public Beta
7 May 2019, DevOps.com

provided by Google News

Teradata Announces 2019 Second Quarter Earnings Release Date
11 July 2019, Yahoo Finance

See what the IHS Markit Score report has to say about Teradata Corp.
16 July 2019, Yahoo Finance

Oxford University’s Saïd Business School to Use Teradata Vantage for World-class Business and Marketing Research
27 June 2019, Yahoo Finance

Teradata Appoints Scott Brown as Chief Revenue Officer
17 June 2019, Yahoo Finance

Sentient Marketing: The Future of Customer Engagement
8 July 2019, Forbes

provided by Google News

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