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DBMS > Google Cloud Firestore vs. InfinityDB vs. Lovefield vs. MarkLogic

System Properties Comparison Google Cloud Firestore vs. InfinityDB vs. Lovefield vs. MarkLogic

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonInfinityDB  Xexclude from comparisonLovefield  Xexclude from comparisonMarkLogic  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.A Java embedded Key-Value Store which extends the Java Map interfaceEmbeddable relational database for web apps written in pure JavaScriptOperational and transactional Enterprise NoSQL database
Primary database modelDocument storeKey-value storeRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.63
Rank#54  Overall
#9  Document stores
Score0.00
Rank#383  Overall
#59  Key-value stores
Score0.22
Rank#306  Overall
#138  Relational DBMS
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Websitefirebase.google.com/­products/­firestoreboilerbay.comgoogle.github.io/­lovefieldwww.progress.com/­marklogic
Technical documentationfirebase.google.com/­docs/­firestoreboilerbay.com/­infinitydb/­manualgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.progress.com/­marklogic/­documentation
DeveloperGoogleBoiler Bay Inc.GoogleMarkLogic Corp.
Initial release2017200220142001
Current release4.02.1.12, February 201711.0, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScriptC++
Server operating systemshostedAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Windows
Data schemeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
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.nononoyes
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyesyes
SQL infoSupport of SQLnonoSQL-like query language infovia JavaScript builder patternyes infoSQL92
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
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
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
JavaJavaScriptC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsnonoyes infovia XQuery or JavaScript
Triggersyes, with Cloud FunctionsnoUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDByes, 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.nonoRole-based access control at the document and subdocument levels

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More resources
Google Cloud FirestoreInfinityDBLovefieldMarkLogic
DB-Engines blog posts

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Progress MarkLogic World
Washington DC, 23-25 September 2024

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