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DBMS > Google Cloud Firestore vs. MarkLogic vs. Microsoft Azure Cosmos DB

System Properties Comparison Google Cloud Firestore vs. MarkLogic vs. Microsoft Azure Cosmos DB

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionCloud 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.Operational and transactional Enterprise NoSQL databaseGlobally distributed, horizontally scalable, multi-model database service
Primary database modelDocument storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.75
Rank#54  Overall
#9  Document stores
Score4.42
Rank#67  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Score27.12
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitefirebase.google.com/­products/­firestorewww.progress.com/­marklogicazure.microsoft.com/­services/­cosmos-db
Technical documentationfirebase.google.com/­docs/­firestorewww.progress.com/­marklogic/­documentationlearn.microsoft.com/­azure/­cosmos-db
DeveloperGoogleMarkLogic Corp.Microsoft
Initial release201720012014
Current release11.0, December 2022
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedLinux
OS X
Windows
hosted
Data schemeschema-freeschema-free infoSchema can be enforcedschema-free
Typing infopredefined data types such as float or dateyesyesyes 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.noyes
Secondary indexesyesyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLnoyes infoSQL92SQL-like query language
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes infovia XQuery or JavaScriptJavaScript
Triggersyes, with Cloud FunctionsyesJavaScript
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infocan act as a resource manager in an XA/JTA transactionMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Role-based access control at the document and subdocument levelsAccess rights can be defined down to the item level

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More resources
Google Cloud FirestoreMarkLogicMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

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Conferences, events and webinars

Progress MarkLogic World
Washington DC, 23-25 September 2024

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