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DBMS > Google Cloud Datastore vs. Interbase vs. Newts vs. Postgres-XL vs. Quasardb

System Properties Comparison Google Cloud Datastore vs. Interbase vs. Newts vs. Postgres-XL vs. Quasardb

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonInterbase  Xexclude from comparisonNewts  Xexclude from comparisonPostgres-XL  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformLight-weight proven RDBMS infooriginally from BorlandTime Series DBMS based on CassandraBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresDistributed, high-performance timeseries database
Primary database modelDocument storeRelational DBMSTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitecloud.google.com/­datastorewww.embarcadero.com/­products/­interbaseopennms.github.io/­newtswww.postgres-xl.orgquasar.ai
Technical documentationcloud.google.com/­datastore/­docsdocs.embarcadero.com/­products/­interbasegithub.com/­OpenNMS/­newts/­wikiwww.postgres-xl.org/­documentationdoc.quasar.ai/­master
DeveloperGoogleEmbarcaderoOpenNMS Groupquasardb
Initial release2008198420142014 infosince 2012, originally named StormDB2009
Current releaseInterBase 2020, December 201910 R1, October 20183.14.1, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoMozilla public licensecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languageCJavaCC++
Server operating systemshostedAndroid
iOS
Linux
OS X
Windows
Linux
OS X
Windows
Linux
macOS
BSD
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes, details hereyesyesyesyes infointeger and binary
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 infoexport as XML data possiblenoyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesnoyesyes infowith tags
SQL infoSupport of SQLSQL-like query language (GQL)yesnoyes infodistributed, parallel query executionSQL-like query language
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
HTTP REST
Java API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Java.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresusing Google App Engineyes infoInterbase procedure and trigger languagenouser defined functionsno
TriggersCallbacks using the Google Apps Engineyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infobased on Cassandrahorizontal partitioningSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosInterbase Change Viewsselectable replication factor infobased on CassandraSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDnoACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnonoyes infoTransient mode
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail

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More resources
Google Cloud DatastoreInterbaseNewtsPostgres-XLQuasardb
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