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DBMS > Google Cloud Firestore vs. Kinetica vs. Newts vs. Postgres-XL vs. SAP SQL Anywhere

System Properties Comparison Google Cloud Firestore vs. Kinetica vs. Newts vs. Postgres-XL vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonKinetica  Xexclude from comparisonNewts  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  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.Fully vectorized database across both GPUs and CPUsTime Series DBMS based on CassandraBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelDocument storeRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.63
Rank#54  Overall
#9  Document stores
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score0.43
Rank#260  Overall
#119  Relational DBMS
Score3.50
Rank#81  Overall
#44  Relational DBMS
Websitefirebase.google.com/­products/­firestorewww.kinetica.comopennms.github.io/­newtswww.postgres-xl.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationfirebase.google.com/­docs/­firestoredocs.kinetica.comgithub.com/­OpenNMS/­newts/­wikiwww.postgres-xl.org/­documentationhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperGoogleKineticaOpenNMS GroupSAP infoformerly Sybase
Initial release2017201220142014 infosince 2012, originally named StormDB1992
Current release7.1, August 202110 R1, October 201817, July 2015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoMozilla public licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaC
Server operating systemshostedLinuxLinux
OS X
Windows
Linux
macOS
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infoXML type, but no XML query functionalityyes
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyes infodistributed, parallel query executionyes
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
HTTP REST
Java API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Java
JavaScript (Node.js)
Python
Java.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsuser defined functionsnouser defined functionsyes, in C/C++, Java, .Net or Perl
Triggersyes, with Cloud Functionsyes infotriggers when inserted values for one or more columns fall within a specified rangenoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on Cassandrahorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationselectable replication factor infobased on CassandraSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACID infoMVCCACID
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 infoGPU vRAM or System RAMnonoyes
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.Access rights for users and roles on table levelnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Google Cloud FirestoreKineticaNewtsPostgres-XLSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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