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DBMS > Google Cloud Firestore vs. Ingres vs. KeyDB vs. MarkLogic

System Properties Comparison Google Cloud Firestore vs. Ingres vs. KeyDB vs. MarkLogic

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonIngres  Xexclude from comparisonKeyDB  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.Well established RDBMSAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsOperational and transactional Enterprise NoSQL database
Primary database modelDocument storeRelational DBMSKey-value storeDocument 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
Score7.36
Rank#53  Overall
#9  Document stores
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Websitefirebase.google.com/­products/­firestorewww.actian.com/­databases/­ingresgithub.com/­Snapchat/­KeyDB
keydb.dev
www.progress.com/­marklogic
Technical documentationfirebase.google.com/­docs/­firestoredocs.actian.com/­ingresdocs.keydb.devwww.progress.com/­marklogic/­documentation
DeveloperGoogleActian CorporationEQ Alpha Technology Ltd.MarkLogic Corp.
Initial release20171974 infooriginally developed at University Berkely in early 1970s20192001
Current release11.2, May 202211.0, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD-3commercial 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 languageCC++C++
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
LinuxLinux
OS X
Windows
Data schemeschema-freeyesschema-freeschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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.nono infobut tools for importing/exporting data from/to XML-files availablenoyes
Secondary indexesyesyesyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLnoyesnoyes infoSQL92
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Proprietary protocol infoRESP - REdis Serialization ProtocoJava 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
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud FunctionsyesLuayes infovia XQuery or JavaScript
Triggersyes, with Cloud Functionsyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationIngres ReplicatorMulti-source replication
Source-replica replication
yes
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 ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDOptimistic locking, atomic execution of commands blocks and scriptsACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes, 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.fine grained access rights according to SQL-standardsimple password-based access control and ACLRole-based access control at the document and subdocument levels

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More resources
Google Cloud FirestoreIngresKeyDBMarkLogic
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