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DBMS > ArangoDB vs. Datomic vs. Google Cloud Firestore vs. IBM Cloudant vs. MongoDB

System Properties Comparison ArangoDB vs. Datomic vs. Google Cloud Firestore vs. IBM Cloudant vs. MongoDB

Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonDatomic  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Database as a Service offering based on Apache CouchDBOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Relational DBMSDocument storeDocument storeDocument store
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
Score3.32
Rank#90  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score2.68
Rank#106  Overall
#20  Document stores
Score421.65
Rank#5  Overall
#1  Document stores
Websitearangodb.comwww.datomic.comfirebase.google.com/­products/­firestorewww.ibm.com/­products/­cloudantwww.mongodb.com
Technical documentationdocs.arangodb.comdocs.datomic.comfirebase.google.com/­docs/­firestorecloud.ibm.com/­docs/­Cloudantwww.mongodb.com/­docs/­manual
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
DeveloperArangoDB Inc.CognitectGoogleIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MongoDB, Inc
Initial release20122012201720102009
Current release3.11.5, November 20231.0.6735, June 20236.0.7, June 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercial infolimited edition freecommercialcommercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud servicenonoyesyesno infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ArangoDB Cloud –The Managed Cloud Service of ArangoDB. Provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.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.
Implementation languageC++Java, ClojureErlangC++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMhostedhostedLinux
OS X
Solaris
Windows
Data schemeschema-free infoautomatically recognizes schema within a collectionyesschema-freeschema-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 dateyes infostring, double, boolean, list, hashyesyesnoyes 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.nonono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnonononoRead-only SQL queries via the MongoDB Atlas SQL Interface
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
RESTful HTTP APIAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP/JSON APIGraphQL
HTTP REST
Prisma
proprietary protocol using JSON
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
Clojure
Java
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
Actionscript 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 proceduresJavaScriptyes infoTransaction Functionsyes, Firebase Rules & Cloud FunctionsView functions (Map-Reduce) in JavaScriptJavaScript
TriggersnoBy using transaction functionsyes, with Cloud Functionsyesyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0none infoBut extensive use of caching in the application peersShardingShardingSharding 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 replication with configurable replication factornone infoBut extensive use of caching in the application peersMulti-source replicationMulti-source replication
Source-replica replication
Multi-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptnoUsing Cloud Dataflowyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Foreign keys infoReferential integrityyes inforelationships in graphsnononono infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesno infoatomic operations within a document possibleMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes infooptional, enabled by default
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlyesnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access rights for users can be defined per databaseAccess rights for users and roles
More information provided by the system vendor
ArangoDBDatomicGoogle Cloud FirestoreIBM CloudantMongoDB
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
MongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
Built around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more
Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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ArangoDBDatomicGoogle Cloud FirestoreIBM CloudantMongoDB
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