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DBMS > Microsoft Azure Cosmos DB vs. TimescaleDB

System Properties Comparison Microsoft Azure Cosmos DB vs. TimescaleDB

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Our visitors often compare Microsoft Azure Cosmos DB and TimescaleDB with PostgreSQL, InfluxDB and Elasticsearch.

Editorial information provided by DB-Engines
NameMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionGlobally distributed, horizontally scalable, multi-model database serviceA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument store
Graph DBMS
Key-value store
Wide column store
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score32.41
Rank#25  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score2.82
Rank#100  Overall
#6  Time Series DBMS
Websiteazure.microsoft.com/­services/­cosmos-dbwww.timescale.com
Technical documentationdocs.microsoft.com/­azure/­cosmos-dbdocs.timescale.com
DeveloperMicrosoftTimescale
Initial release20142017
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemshostedLinux
OS X
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyes infoJSON typesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data 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.yes
Secondary indexesyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLSQL-like query languageyes infofull PostgreSQL SQL syntax
APIs and other access methodsDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresJavaScriptuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
TriggersJavaScriptyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodswith 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
Immediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-item ACID transactions with snapshot isolation within a partitionACID
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.no
User concepts infoAccess controlAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard
More information provided by the system vendor
Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBTimescaleDB
Specific characteristicsTimescale is the creator of TimescaleDB , the first open-source relational database...
» more
Competitive advantagesTimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosDevOps and Infrastructure Monitoring All monitoring data is time-series data. Efficiently...
» more
Key customersTransferWise, Maersk, AppDynamics, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco,...
» more
Market metricsWith over 9,000 GitHub stars and growing, 600,000 active databases, and an active...
» more
Licensing and pricing modelsTimescaleDB comes in 3 versions, including fully managed Cloud-hosted solutions*,...
» more

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More resources
Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBTimescaleDB
Recent citations in the news

Global NoSQL Databases Software Market Report 2021: Top Companies MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase, MarkLogic, RethinkDB, CouchDB, SQL-RD, OrientDB, RavenDB, Redis etc – The Bisouv Network
1 March 2021, The Bisouv Network

Global Document Databases Software Market Latest Technological Advancements 2026: MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase etc. – NeighborWebSJ
26 February 2021, NeighborWebSJ

Microsoft Announces a New Pricing Model Option for Azure Cosmos DB and More Capabilities
3 June 2020, InfoQ.com

Global NoSQL Databases Software Market Top Manufacturers Analysis by 2026: MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase etc. – South Florida Theater Review
28 February 2021, South Florida Theater Review

Global Document Databases Software Market Top Manufacturers Analysis by 2026: MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase etc. – South Florida Theater Review
28 February 2021, South Florida Theater Review

provided by Google News

QuestDB has built a lightning fast time series database. Can it build a business to match?
16 February 2021, TechRepublic

Timescale Brings Powerful Time-Series Data Analysis to Developers Worldwide, Now Available in 75+ Cloud Regions
12 August 2020, Business Wire

Timescale Launches Industry's First Multi-Node Relational Database for Time-Series Data, Giving Organizations Unprecedented Scale
29 October 2020, Business Wire

TimescaleDB Delivers Another Option for Time-Series Analytics
17 October 2019, Datanami

Timescale announces $15M investment and new enterprise version of TimescaleDB
29 January 2019, TechCrunch

provided by Google News

Job opportunities

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