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DBMS > InfluxDB vs. MarkLogic vs. Microsoft Azure Cosmos DB vs. Rockset

System Properties Comparison InfluxDB vs. MarkLogic vs. Microsoft Azure Cosmos DB vs. Rockset

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsOperational and transactional Enterprise NoSQL databaseGlobally distributed, horizontally scalable, multi-model database serviceA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelTime Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Graph DBMS
Key-value store
Wide column store
Document store
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.82
Rank#212  Overall
#36  Document stores
Websitewww.influxdata.com/­products/­influxdb-overviewwww.progress.com/­marklogicazure.microsoft.com/­services/­cosmos-dbrockset.com
Technical documentationdocs.influxdata.com/­influxdbwww.progress.com/­marklogic/­documentationlearn.microsoft.com/­azure/­cosmos-dbdocs.rockset.com
DeveloperMarkLogic Corp.MicrosoftRockset
Initial release2013200120142019
Current release2.7.6, April 202411.0, December 2022
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercial inforestricted free version is availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C++
Server operating systemsLinux
OS X infothrough Homebrew
Linux
OS X
Windows
hostedhosted
Data schemeschema-freeschema-free infoSchema can be enforcedschema-freeschema-free
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyes infoJSON typesdynamic typing
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 infoingestion from XML files supported
Secondary indexesnoyesyes infoAll properties auto-indexed by defaultall fields are automatically indexed
SQL infoSupport of SQLSQL-like query languageyes infoSQL92SQL-like query languageRead-only SQL queries, including JOINs
APIs and other access methodsHTTP API
JSON over UDP
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
HTTP REST
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptJavaScriptno
TriggersnoyesJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyShardingSharding infoImplicit feature of the cloud serviceAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyyesyes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infocan act as a resource manager in an XA/JTA transactionMulti-item ACID transactions with snapshot isolation within a partitionno
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 engineyes, with Range Indexes
User concepts infoAccess controlsimple rights management via user accountsRole-based access control at the document and subdocument levelsAccess rights can be defined down to the item levelAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
InfluxDBMarkLogicMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBRockset
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
News

Scaling Data Collection: Solving Renewable Energy Challenges with InfluxDB
6 June 2024

Deadman Alerts with Grafana and InfluxDB Cloud 3.0
5 June 2024

Chasing the Skies: Monitoring Flights with InfluxDB
4 June 2024

Monitoring Your Cloud Environments and Applications with InfluxDB
30 May 2024

Webinar Recap: Unleash the Full Potential of Your Time Series Data with InfluxDB and AWS
29 May 2024

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
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
InfluxDBMarkLogicMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBRockset
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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