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DBMS > Google Cloud Firestore vs. MarkLogic vs. SiriDB vs. Spark SQL vs. Typesense

System Properties Comparison Google Cloud Firestore vs. MarkLogic vs. SiriDB vs. Spark SQL vs. Typesense

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonMarkLogic  Xexclude from comparisonSiriDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTypesense  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 databaseOpen Source Time Series DBMSSpark SQL is a component on top of 'Spark Core' for structured data processingA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelDocument storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMSRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.79
Rank#210  Overall
#14  Search engines
Websitefirebase.google.com/­products/­firestorewww.marklogic.comsiridb.comspark.apache.org/­sqltypesense.org
Technical documentationfirebase.google.com/­docs/­firestoredocs.marklogic.comdocs.siridb.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmltypesense.org/­docs
DeveloperGoogleMarkLogic Corp.CesbitApache Software Foundation
Initial release20172001201720142015
Current release11.0, December 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CScalaC++
Server operating systemshostedLinux
OS X
Windows
LinuxLinux
OS X
Windows
Linux
Data schemeschema-freeschema-free infoSchema can be enforcedyesyesschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyesyesyes infoNumeric datayesyes
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 indexesyesyesyesnoyes
SQL infoSupport of SQLnoyes infoSQL92noSQL-like DML and DDL statementsno
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
HTTP APIJDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes infovia XQuery or JavaScriptnonono
Triggersyes, with Cloud Functionsyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyesnoneMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infocan act as a resource manager in an XA/JTA transactionnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexesyesnoyes
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 levelssimple rights management via user accountsno

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More resources
Google Cloud FirestoreMarkLogicSiriDBSpark SQLTypesense
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