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DBMS > dBASE vs. Google Cloud Datastore vs. Microsoft Access vs. openGauss vs. Oracle Coherence

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

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonopenGauss  Xexclude from comparisonOracle Coherence  Xexclude from comparison
DescriptiondBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformMicrosoft 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.)An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiOracles in-memory data grid solution
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Websitewww.dbase.comcloud.google.com/­datastorewww.microsoft.com/­en-us/­microsoft-365/­accessgitee.com/­opengauss
opengauss.org
www.oracle.com/­java/­coherence
Technical documentationwww.dbase.com/­support/­knowledgebasecloud.google.com/­datastore/­docsdeveloper.microsoft.com/­en-us/­accessdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperAsthon TateGoogleMicrosoftHuawei and openGauss communityOracle
Initial release19792008199220192007
Current releasedBASE 2019, 20191902 (16.0.11328.20222), March 20193.0, March 202214.1, August 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft OfficeOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++, JavaJava
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
hostedWindows infoNot a real database server, but making use of DLLsLinuxAll OS with a Java VM
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes, 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.nonono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnoSQL-like query language (GQL)yes infobut not compliant to any SQL standardANSI SQL 2011no
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
DAO
ODBC
OLE DB
JDBC
ODBC
JCache
JPA
RESTful HTTP API
Supported programming languagesdBase proprietary IDE.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Java
.Net
C++
Java
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.using Google App Engineyes infosince Access 2010 using the ACE-engineyesno
TriggersnoCallbacks using the Google Apps Engineyes infosince Access 2010 using the ACE-engineyesyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonehorizontal partitioning (by range, list and hash)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using PaxosnoneSource-replica replicationyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
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 integrityyesyes infovia ReferenceProperties or Ancestor pathsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infonot for dBase internal data, but IDE does support transactions when accessing external DBMSACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infobut no files for transaction loggingACIDconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes 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 and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no infoa simple user-level security was built in till version Access 2003Access rights for users, groups and roles according to SQL-standardauthentification to access the cache via certificates or http basic authentication

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More resources
dBASEGoogle Cloud DatastoreMicrosoft AccessopenGaussOracle Coherence
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