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DBMS > EventStoreDB vs. Microsoft Azure Table Storage vs. NSDb vs. VictoriaMetrics

System Properties Comparison EventStoreDB vs. Microsoft Azure Table Storage vs. NSDb vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonNSDb  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.A Wide Column Store for rapid development using massive semi-structured datasetsScalable, 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 modelEvent StoreWide column storeTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#173  Overall
#1  Event Stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitewww.eventstore.comazure.microsoft.com/­en-us/­services/­storage/­tablesnsdb.iovictoriametrics.com
Technical documentationdevelopers.eventstore.comnsdb.io/­Architecturedocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperEvent Store LimitedMicrosoftVictoriaMetrics
Initial release2012201220172018
Current release21.2, February 2021v1.91, May 2023
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ScalaGo
Server operating systemsLinux
Windows
hostedLinux
macOS
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-free
Typing infopredefined data types such as float or dateyesyes: 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.nonono
Secondary indexesnoall fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query languageno
APIs and other access methodsRESTful HTTP APIgRPC
HTTP REST
WebSocket
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Scala
Server-side scripts infoStored proceduresnonono
Triggersnono
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 service. Replication either local, cross-facility or geo-redundant.Synchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingnono
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.nono
User concepts infoAccess controlAccess rights based on private key authentication or shared access signatures

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More resources
EventStoreDBMicrosoft Azure Table StorageNSDbVictoriaMetrics
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