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DBMS > Google Cloud Datastore vs. Interbase vs. Microsoft Access vs. Oracle Coherence vs. Teradata

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

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonInterbase  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOracle Coherence  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformLight-weight proven RDBMS infooriginally from BorlandMicrosoft 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 solutionA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument storeRelational DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitecloud.google.com/­datastorewww.embarcadero.com/­products/­interbasewww.microsoft.com/­en-us/­microsoft-365/­accesswww.oracle.com/­java/­coherencewww.teradata.com
Technical documentationcloud.google.com/­datastore/­docsdocs.embarcadero.com/­products/­interbasedeveloper.microsoft.com/­en-us/­accessdocs.oracle.com/­en/­middleware/­standalone/­coherencedocs.teradata.com
DeveloperGoogleEmbarcaderoMicrosoftOracleTeradata
Initial release20081984199220071984
Current releaseInterBase 2020, December 20191902 (16.0.11328.20222), March 201914.1, August 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft Officecommercialcommercial
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 languageCC++Java
Server operating systemshostedAndroid
iOS
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsAll OS with a Java VMhosted
Linux
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyes, details hereyesyesyesyes
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
Secondary indexesyesyesyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like query language (GQL)yesyes infobut not compliant to any SQL standardnoyes infoSQL 2016 + extensions
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
JCache
JPA
RESTful HTTP API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C++
Java
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresusing Google App Engineyes infoInterbase procedure and trigger languageyes infosince Access 2010 using the ACE-enginenoyes infoUDFs, stored procedures, table functions in parallel
TriggersCallbacks using the Google Apps Engineyesyes infosince Access 2010 using the ACE-engineyes infoLive Eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosInterbase Change Viewsnoneyes, with selectable consistency levelMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownononono
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
Immediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesyesnoyes
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 loggingconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
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 authenticationfine grained access rights according to SQL-standard

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More resources
Google Cloud DatastoreInterbaseMicrosoft AccessOracle CoherenceTeradata
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