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

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

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Editorial information provided by DB-Engines
NameMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonNSDb  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionGlobally distributed, horizontally scalable, multi-model database serviceScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument store
Graph DBMS
Key-value store
Wide column store
Time Series DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score40.04
Rank#26  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.00
Rank#351  Overall
#36  Time Series DBMS
Score0.56
Rank#233  Overall
#18  Time Series DBMS
Websiteazure.microsoft.com/­services/­cosmos-dbnsdb.iovictoriametrics.com
Technical documentationdocs.microsoft.com/­azure/­cosmos-dbnsdb.io/­Architecturedocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperMicrosoftVictoriaMetrics
Initial release201420172018
Current releasev1.63, July 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ScalaGo
Server operating systemshostedLinux
macOS
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-free
Typing infopredefined data types such as float or dateyes infoJSON typesyes: int, bigint, decimal, string
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 indexesyes infoAll properties auto-indexed by defaultall fields are automatically indexed
SQL infoSupport of SQLSQL-like query languageSQL-like query languageno
APIs and other access methodsDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
gRPC
HTTP REST
WebSocket
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Java
Scala
Server-side scripts infoStored proceduresJavaScriptnono
TriggersJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nono
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 ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-item ACID transactions with snapshot isolation within a partitionnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyes
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 level
More information provided by the system vendor
Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBNSDbVictoriaMetrics
Specific characteristicsHigh performance, horizontally scalable time series database and monitoring solution...
» more
Competitive advantagesSpecifically designed for highly loaded workloads Addresses most of the scalability...
» more
Typical application scenariosWhen the current monitoring solution can't keep up with increasing workload Kubernetes...
» more
Key customersGrammarly, Wix.com, adidas, Sensedia, Brandwatch, CERN, COLOPL, Razorpay See our...
» more
Market metrics4.9k stars and 70+ contributors on GitHub 20M+ downloads Thousands of active users...
» more
Licensing and pricing modelsVictoriaMetrics comes in two versions: an open source version and an Enterprise version....
» more

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

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

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

Microsoft announces several new updates for Azure Cosmos DB - MSPoweruser
25 May 2021, MSPoweruser

provided by Google News

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

provided by Google News

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