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DBMS > Google Cloud Datastore vs. Greenplum vs. InterSystems Caché vs. Microsoft Access

System Properties Comparison Google Cloud Datastore vs. Greenplum vs. InterSystems Caché vs. Microsoft Access

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonGreenplum  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A multi-model DBMS and application serverMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)
Primary database modelDocument storeRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Websitecloud.google.com/­datastoregreenplum.orgwww.intersystems.com/­products/­cachewww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationcloud.google.com/­datastore/­docsdocs.greenplum.orgdocs.intersystems.comdeveloper.microsoft.com/­en-us/­access
DeveloperGooglePivotal Software Inc.InterSystemsMicrosoft
Initial release2008200519971992
Current release7.0.0, September 20232018.1.4, May 20201902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial infoBundled with Microsoft Office
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 languageC++
Server operating systemshostedLinuxAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeschema-freeyesdepending on used data modelyes
Typing infopredefined data types such as float or dateyes, details hereyesyesyes
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 infosince Version 4.2yes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)yesyesyes infobut not compliant to any SQL standard
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
Java
Perl
Python
R
C#
C++
Java
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresusing Google App Engineyesyesyes infosince Access 2010 using the ACE-engine
TriggersCallbacks using the Google Apps Engineyesyesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyesnono
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
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-standardAccess rights for users, groups and rolesno infoa simple user-level security was built in till version Access 2003

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More resources
Google Cloud DatastoreGreenplumInterSystems CachéMicrosoft Access
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