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DBMS > EDB Postgres vs. Google Cloud Datastore vs. Quasardb vs. Transbase

System Properties Comparison EDB Postgres vs. Google Cloud Datastore vs. Quasardb vs. Transbase

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Editorial information provided by DB-Engines
NameEDB Postgres  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonQuasardb  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformDistributed, high-performance timeseries databaseA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSDocument storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.18
Rank#122  Overall
#59  Relational DBMS
Score4.49
Rank#79  Overall
#12  Document stores
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Score0.15
Rank#337  Overall
#147  Relational DBMS
Websitewww.enterprisedb.comcloud.google.com/­datastorequasar.aiwww.transaction.de/­en/­products/­transbase.html
Technical documentationwww.enterprisedb.com/­docscloud.google.com/­datastore/­docsdoc.quasar.ai/­masterwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperEnterpriseDBGooglequasardbTransaction Software GmbH
Initial release2005200820091987
Current release14, December 20213.14.1, January 2024Transbase 8.3, 2022
License infoCommercial or Open Sourcecommercial infoBSD for PostgreSQL-componentscommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C and C++
Server operating systemsLinux
Windows
hostedBSD
Linux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes, details hereyes infointeger and binaryyes
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.yes infospecific XML-type available, but no XML query functionality.nonono
Secondary indexesyesyesyes infowith tagsyes
SQL infoSupport of SQLyes infostandard with numerous extensionsSQL-like query language (GQL)SQL-like query languageyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP APIADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.using Google App Enginenoyes
TriggersyesCallbacks using the Google Apps Enginenoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangeShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication using PaxosSource-replica replication with selectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowwith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDyes
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient modeno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Cryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard

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More resources
EDB PostgresGoogle Cloud DatastoreQuasardbTransbase
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