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DBMS > InfluxDB vs. Microsoft Azure Cosmos DB vs. VictoriaMetrics

System Properties Comparison InfluxDB vs. Microsoft Azure Cosmos DB vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsGlobally distributed, horizontally scalable, multi-model database serviceA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Time Series DBMS
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.09
Rank#28  Overall
#1  Time Series DBMS
Score40.04
Rank#26  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.56
Rank#233  Overall
#18  Time Series DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewazure.microsoft.com/­services/­cosmos-dbvictoriametrics.com
Technical documentationdocs.influxdata.com/­influxdbdocs.microsoft.com/­azure/­cosmos-dbdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperMicrosoftVictoriaMetrics
Initial release201320142018
Current release2.0.8, August 2021v1.63, July 2021
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoGo
Server operating systemsLinux
OS X infothrough Homebrew
hostedFreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateNumeric data and Stringsyes infoJSON types
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.nono
Secondary indexesnoyes infoAll properties auto-indexed by default
SQL infoSupport of SQLSQL-like query languageSQL-like query languageno
APIs and other access methodsHTTP API
JSON over UDP
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
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
Server-side scripts infoStored proceduresnoJavaScriptno
TriggersnoJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlySharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyyes infoImplicit feature of the cloud serviceSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
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
Eventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partitionno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 engineno
User concepts infoAccess controlsimple rights management via user accountsAccess rights can be defined down to the item level
More information provided by the system vendor
InfluxDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBVictoriaMetrics
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
High performance, horizontally scalable time series database and monitoring solution...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Specifically designed for highly loaded workloads Addresses most of the scalability...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
When the current monitoring solution can't keep up with increasing workload Kubernetes...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Grammarly, Wix.com, adidas, Sensedia, Brandwatch, CERN, COLOPL, Razorpay See our...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
4.9k stars and 70+ contributors on GitHub 20M+ downloads Thousands of active users...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
VictoriaMetrics comes in two versions: an open source version and an Enterprise version....
» more
News

Why I Joined InfluxData – Patrick Williams
21 January 2022

Flux Join Tutorial – Enrich Time Series Data with Data from PostgreSQL
20 January 2022

Telegraf Best Practices: Config Recommendations and Performance Monitoring
18 January 2022

Volvo Uses InfluxDB to Evolve Its DevOps Monitoring to Enable Data-Driven Decisions
14 January 2022

HighByte and InfluxDB Provide Critical OEE Data for Manufacturing Companies
13 January 2022

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.

Related products and services
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More resources
InfluxDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBVictoriaMetrics
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

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Recent citations in the news

Getting Started with Python and InfluxDB – The New Stack
21 January 2022, thenewstack.io

InfluxDB and IoT: Arduino Microcontroller Best Practices – The New Stack
5 January 2022, thenewstack.io

Getting Started with R and InfluxDB – The New Stack
17 December 2021, thenewstack.io

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

Scaling telemetry monitoring with InfluxDB
30 November 2021, InfoWorld

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NoSQL Software Market Is Likely to Experience a Tremendous Growth in Near Future | MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase
10 January 2022, Digital Journal

Researchers discover critical flaw in Azure Cosmos DB
27 August 2021, TechTarget

Microsoft Azure Cosmos DB Incident Underscores the Need to Closely Watch Cloud Data
30 August 2021, Dark Reading

Global Document Databases Software Market Current Trends, Future Aspect Analysis 2021-2029 | MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase, MarkLogic – Discovery Sports Media
20 January 2022, Discovery Sports Media

ChaosDB: Infosec bods could pull anyone's plaintext Azure Cosmos DB keys at will from Microsoft admin tools
12 November 2021, The Register

provided by Google News

Monitoring Microservices the Right Way
3 December 2020, InfoQ.com

provided by Google News

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