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

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

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Editorial information provided by DB-Engines
NameLokiJS  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionIn-memory JavaScript DBMSGlobally distributed, horizontally scalable, multi-model database serviceA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Time Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#266  Overall
#37  Document stores
Score36.10
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score1.01
Rank#215  Overall
#15  Time Series DBMS
Websitegithub.com/­techfort/­LokiJSazure.microsoft.com/­services/­cosmos-dbvictoriametrics.com
Technical documentationtechfort.github.io/­LokiJSdocs.microsoft.com/­azure/­cosmos-dbdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperMicrosoftVictoriaMetrics
Initial release201420142018
Current releasev1.89, March 2023
License infoCommercial or Open SourceOpen SourcecommercialOpen 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 languageJavaScriptGo
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedFreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or datenoyes 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 indexesyes infovia viewsyes infoAll properties auto-indexed by default
SQL infoSupport of SQLnoSQL-like query languageno
APIs and other access methodsJavaScript APIDocumentDB 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 languagesJavaScript.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresView functions in JavaScriptJavaScriptno
TriggersyesJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyeswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneBounded 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 datano infoatomic operations within a single collection possibleMulti-item ACID transactions with snapshot isolation within a partitionno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnoAccess rights can be defined down to the item level
More information provided by the system vendor
LokiJSMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBVictoriaMetrics
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 metrics8k stars and 100+ contributors on GitHub 100M+ downloads Thousands of active users...
» more
Licensing and pricing modelsVictoriaMetrics comes in three versions: an open source version, an Enterprise version...
» 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
LokiJSMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBVictoriaMetrics
DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
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