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DBMS > Google Cloud Datastore vs. Greenplum vs. Microsoft Access vs. Oracle Coherence

System Properties Comparison Google Cloud Datastore vs. Greenplum vs. Microsoft Access vs. Oracle Coherence

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonGreenplum  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOracle Coherence  Xexclude from comparison
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.Microsoft 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.)Oracles in-memory data grid solution
Primary database modelDocument storeRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.87
Rank#78  Overall
#12  Document stores
Score9.20
Rank#48  Overall
#30  Relational DBMS
Score107.93
Rank#11  Overall
#8  Relational DBMS
Score2.32
Rank#126  Overall
#23  Key-value stores
Websitecloud.google.com/­datastoregreenplum.orgwww.microsoft.com/­en-us/­microsoft-365/­accesswww.oracle.com/­java/­coherence
Technical documentationcloud.google.com/­datastore/­docsdocs.greenplum.orgdeveloper.microsoft.com/­en-us/­accessdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperGooglePivotal Software Inc.MicrosoftOracle
Initial release2008200519922007
Current release7.0.0, September 20231902 (16.0.11328.20222), March 201914.1, August 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemshostedLinuxWindows infoNot a real database server, but making use of DLLsAll OS with a Java VM
Data schemeschema-freeyesyesschema-free
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 4.2no
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like query language (GQL)yesyes infobut not compliant to any SQL standardno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
JCache
JPA
RESTful HTTP API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
Java
Perl
Python
R
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C++
Java
Server-side scripts infoStored proceduresusing Google App Engineyesyes infosince Access 2010 using the ACE-engineno
TriggersCallbacks using the Google Apps Engineyesyes infosince Access 2010 using the ACE-engineyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosSource-replica replicationnoneyes, with selectable consistency level
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 ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID infobut no files for transaction loggingconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyes infooptionally
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-standardno infoa simple user-level security was built in till version Access 2003authentification to access the cache via certificates or http basic authentication

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More resources
Google Cloud DatastoreGreenplumMicrosoft AccessOracle Coherence
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