DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > ArcadeDB vs. Atos Standard Common Repository vs. Heroic vs. MongoDB vs. VictoriaMetrics

System Properties Comparison ArcadeDB vs. Atos Standard Common Repository vs. Heroic vs. MongoDB vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonHeroic  Xexclude from comparisonMongoDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Document store
Key-value store
Time Series DBMSDocument storeTime Series DBMS
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#358  Overall
#48  Document stores
#38  Graph DBMS
#52  Key-value stores
#35  Time Series DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score421.08
Rank#5  Overall
#1  Document stores
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitearcadedb.comatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­spotify/­heroicwww.mongodb.comvictoriametrics.com
Technical documentationdocs.arcadedb.comspotify.github.io/­heroicwww.mongodb.com/­docs/­manualdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperArcade DataAtos Convergence CreatorsSpotifyMongoDB, IncVictoriaMetrics
Initial release20212016201420092018
Current releaseSeptember 202117036.0.7, June 2023v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
  • MongoDB Flex @ STACKIT offers managed MongoDB Instances with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageJavaJavaJavaC++Go
Server operating systemsAll OS with a Java VMLinuxLinux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeSchema and schema-less with LDAP viewsschema-freeschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.
Typing infopredefined data types such as float or dateyesoptionalyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
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.noyesnono
Secondary indexesyesyesyes infovia Elasticsearchyes
SQL infoSupport of SQLSQL-like query language, no joinsnonoRead-only SQL queries via the MongoDB Atlas SQL Interfaceno
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
LDAPHQL (Heroic Query Language, a JSON-based language)
HTTP API
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesJavaAll languages with LDAP bindingsActionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
Server-side scripts infoStored proceduresnonoJavaScriptno
Triggersyesnoyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyesMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Synchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Eventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Eventual Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsnonono infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoMulti-document ACID Transactions with snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoIn-memory storage engine introduced with MongoDB version 3.2no
User concepts infoAccess controlLDAP bind authenticationAccess rights for users and roles
More information provided by the system vendor
ArcadeDBAtos Standard Common RepositoryHeroicMongoDBVictoriaMetrics
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesNavicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

Studio 3T: The world's favorite IDE for working with MongoDB
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ArcadeDBAtos Standard Common RepositoryHeroicMongoDBVictoriaMetrics
DB-Engines blog posts

Snowflake is the DBMS of the Year 2021
3 January 2022, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2020
4 January 2021, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

show all

Recent citations in the news

Infographic: What makes a Mobile Operator's setup future proof?
10 February 2024, Atos

provided by Google News

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

provided by Google News

MongoDB shares sink 23% after management trims guidance
30 May 2024, CNBC

Why MongoDB Stock Plunged Today
31 May 2024, The Motley Fool

MongoDB stock sinks after lowering full-year guidance
31 May 2024, Yahoo Finance

MongoDB stock dives 25% on skinny revenue beat, underwhelming guidance By Investing.com
30 May 2024, Investing.com

MongoDB Stock Plunges On Weak Guidance—Watch This Key Chart Level
31 May 2024, Investopedia

provided by Google News

VictoriaMetrics Slashes Data Storage Bills by 90% With World's Most Cost-Efficient Monitoring
30 May 2024, Business Wire

OpenTelemetry Is Too Complicated, VictoriaMetrics Says
1 April 2024, Datanami

KubeCon24: VictoriaMetrics' Simpler Alternative to Prometheus
20 March 2024, The New Stack

Green coding - VictoriaMetrics: The efficiency vs complexity trade-off
15 May 2024, ComputerWeekly.com

How VictoriaMetrics' open source approach led to mass industry adoption
3 May 2024, Tech.eu

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here