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DBMS > etcd vs. EventStoreDB vs. Microsoft Azure Cosmos DB vs. TinkerGraph vs. VictoriaMetrics

System Properties Comparison etcd vs. EventStoreDB vs. Microsoft Azure Cosmos DB vs. TinkerGraph vs. VictoriaMetrics

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonEventStoreDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonTinkerGraph  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionA distributed reliable key-value storeIndustrial-strength, open-source database solution built from the ground up for event sourcing.Globally distributed, horizontally scalable, multi-model database serviceA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelKey-value storeEvent StoreDocument store
Graph DBMS
Key-value store
Wide column store
Graph DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.88
Rank#47  Overall
#5  Key-value stores
Score0.92
Rank#181  Overall
#1  Event Stores
Score40.22
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.19
Rank#289  Overall
#23  Graph DBMS
Score0.58
Rank#223  Overall
#17  Time Series DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.eventstore.comazure.microsoft.com/­services/­cosmos-dbtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinvictoriametrics.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
developers.eventstore.comdocs.microsoft.com/­azure/­cosmos-dbdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperEvent Store LimitedMicrosoftVictoriaMetrics
Initial release2012201420092018
Current release3.4, August 201921.2, February 2021v1.72, January 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaGo
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux
Windows
hostedFreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoyes infoJSON typesyes
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 indexesnoyes infoAll properties auto-indexed by defaultno
SQL infoSupport of SQLnoSQL-like query languagenono
APIs and other access methodsgRPC
JSON over HTTP
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
TinkerPop 3Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Groovy
Java
Server-side scripts infoStored proceduresnoJavaScriptnono
Triggersyes, watching key changesJavaScriptnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes infoImplicit feature of the cloud servicenoneSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nono
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
noneEventual Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partitionnono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoAccess rights can be defined down to the item levelno
More information provided by the system vendor
etcdEventStoreDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBTinkerGraphVictoriaMetrics
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 metrics6k stars and 100+ contributors on GitHub 45M+ 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
etcdEventStoreDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBTinkerGraphVictoriaMetrics
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