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

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

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonMemgraph  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsA hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scaleGlobally distributed, horizontally scalable, multi-model database service
Primary database modelTime Series DBMSGraph DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.62
Rank#33  Overall
#1  Time Series DBMS
Score0.05
Rank#318  Overall
#31  Graph DBMS
Score31.33
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitewww.influxdata.com/­time-series-platform/­influxdbmemgraph.comazure.microsoft.com/­services/­cosmos-db
Technical documentationdocs.influxdata.com/­influxdbmemgraph.com/­docsdocs.microsoft.com/­en-us/­azure/­cosmos-db
DeveloperMemgraph LtdMicrosoft
Initial release201320172014
Current release1.7.8, August 2019
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercial infoFree license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++
Server operating systemsLinux
OS X infothrough Homebrew
Linuxhosted
Data schemeschema-freeschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyes 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 languagenoSQL-like query language
APIs and other access methodsHTTP API
JSON over UDP
Bolt protocol
Cypher query language
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresnoJavaScript
TriggersnoJavaScript
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlySharding infodynamic graph partitioningSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyMulti-Master replication using RAFTyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Session Consistency
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Foreign keys infoReferential integritynoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infowith snapshot isolationMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
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 accountsUsers, roles and permissionsAccess rights can be defined down to the item level
More information provided by the system vendor
InfluxDBMemgraphMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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

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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
InfluxDBMemgraphMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

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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

InfluxDB Cloud 2.0 expands open source time series database
17 September 2019, TechTarget

InfluxData Opens London Office to Meet Demand as Time Series Databases Take off in EMEA
9 October 2019, Yahoo Finance

InfluxData Releases Serverless Time Series Database for Cloud
23 September 2019, ADT Magazine

InfluxData launches InfluxDB Cloud 2.0 – the first serverless time series platform-as-a-service
10 September 2019, Business Wire

An Introduction to InfluxDB
5 August 2019, The Collegian

provided by Google News

FactGem and Memgraph Partner to Give Clients Access to Real-Time, Transaction Based Analytics
1 February 2019, PRNewswire

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15 October 2019, Galus Australis

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9 October 2019, 5Gigs News

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16 September 2019, Industry Segment

Global Graph Database Market Insights, Forecast to 2025 with Major Companies- Microsoft, Oracle, IBM
2 October 2019, The Ukiah Post

provided by Google News

Azure Cosmos DB gets built-in Jupyter notebooks support
1 October 2019, DevClass

Microsoft Announces General Availability of Jupyter Notebooks Support for Cosmos DB
8 October 2019, InfoQ.com

How to use Jupyter Notebook and Apache Spark in Azure Cosmos DB - Microsoft
20 September 2019, Channel 9

Azure Cosmos DB now has support for built-in Jupyter notebooks
1 October 2019, Neowin

NoSQL Databases Software Market Highlights by Major Players: MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase.
15 October 2019, Global Market Release

provided by Google News

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