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DBMS > Google Cloud Firestore vs. Postgres-XL vs. Rockset vs. SwayDB vs. UniData,UniVerse

System Properties Comparison Google Cloud Firestore vs. Postgres-XL vs. Rockset vs. SwayDB vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRockset  Xexclude from comparisonSwayDB  Xexclude from comparisonUniData,UniVerse  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.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA scalable, reliable search and analytics service in the cloud, built on RocksDBAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelDocument storeRelational DBMSDocument storeKey-value storeMultivalue DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score0.00
Rank#382  Overall
#59  Key-value stores
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitefirebase.google.com/­products/­firestorewww.postgres-xl.orgrockset.comswaydb.simer.auwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationfirebase.google.com/­docs/­firestorewww.postgres-xl.org/­documentationdocs.rockset.comdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperGoogleRocksetSimer PlahaRocket Software
Initial release20172014 infosince 2012, originally named StormDB201920181985
Current release10 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoMozilla public licensecommercialOpen Source infoGNU Affero GPL V3.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++ScalaC
Server operating systemshostedLinux
macOS
hostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesdynamic typingnooptional
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 infoXML type, but no XML query functionalityno infoingestion from XML files supportedno
Secondary indexesyesyesall fields are automatically indexednoyes
SQL infoSupport of SQLnoyes infodistributed, parallel query executionRead-only SQL queries, including JOINsnoyes
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP RESTJava API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
Java
Kotlin
Scala
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsuser defined functionsnonoyes
Triggersyes, with Cloud Functionsyesnonoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningAutomatic shardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoMVCCnoAtomic execution of operationsACID infoconfigurable
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.noyes
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-standardAccess rights for users and organizations can be defined via Rockset consolenoAccess rights according to SQL-standard and operating system based

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More resources
Google Cloud FirestorePostgres-XLRocksetSwayDBUniData,UniVerse
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