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DBMS > InfluxDB vs. Microsoft Azure Cosmos DB vs. Teradata vs. Trafodion

System Properties Comparison InfluxDB vs. Microsoft Azure Cosmos DB vs. Teradata vs. Trafodion

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonTeradata  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDBMS for storing time series, events and metricsGlobally distributed, horizontally scalable, multi-model database serviceA hybrid cloud data analytics software platform (Teradata Vantage)Transactional SQL-on-Hadoop DBMS
Primary database modelTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewazure.microsoft.com/­services/­cosmos-dbwww.teradata.comtrafodion.apache.org
Technical documentationdocs.influxdata.com/­influxdblearn.microsoft.com/­azure/­cosmos-dbdocs.teradata.comtrafodion.apache.org/­documentation.html
DeveloperMicrosoftTeradataApache Software Foundation, originally developed by HP
Initial release2013201419842014
Current release2.7.6, April 2024Teradata Vantage 1.0 MU2, January 20192.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, Java
Server operating systemsLinux
OS X infothrough Homebrew
hostedhosted
Linux
Linux
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateNumeric data and Stringsyes infoJSON typesyesyes
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 indexesnoyes infoAll properties auto-indexed by defaultyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languageyes infoSQL 2016 + extensionsyes
APIs and other access methodsHTTP API
JSON over UDP
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table 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
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoJavaScriptyes infoUDFs, stored procedures, table functions in parallelJava Stored Procedures
TriggersnoJavaScriptyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlySharding infoImplicit feature of the cloud serviceSharding infoHashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*noyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partitionACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 engineyesno
User concepts infoAccess controlsimple rights management via user accountsAccess rights can be defined down to the item levelfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
InfluxDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBTeradataTrafodion
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» 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
InfluxDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBTeradataTrafodion
DB-Engines blog posts

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Recent citations in the news

Run and manage open source InfluxDB databases with Amazon Timestream | Amazon Web Services
14 March 2024, AWS Blog

Amazon Timestream: Managed InfluxDB for Time Series Data
14 March 2024, The New Stack

InfluxData Collaborating with AWS to Bring InfluxDB and Time Series Analytics to Developers Around the World
14 March 2024, businesswire.com

How the FDAP Stack Gives InfluxDB 3.0 Real-Time Speed, Efficiency
15 March 2024, Datanami

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15 June 2024, PR Newswire

Teradata Stock: Much More Enticing Now Than Last Year, But Uncertainty Lingers (NYSE:TDC)
14 June 2024, Seeking Alpha

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Evaluating HTAP Databases for Machine Learning Applications
2 November 2016, KDnuggets

HP Throws Trafodion Hat into OLTP Hadoop Ring
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Low-latency, distributed database architectures are critical for emerging fog applications
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