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DBMS > Google Cloud Datastore vs. Interbase vs. Microsoft Access vs. TerminusDB vs. Yanza

System Properties Comparison Google Cloud Datastore vs. Interbase vs. Microsoft Access vs. TerminusDB vs. Yanza

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonInterbase  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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.)Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsTime Series DBMS for IoT Applications
Primary database modelDocument storeRelational DBMSRelational DBMSGraph DBMSTime Series DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitecloud.google.com/­datastorewww.embarcadero.com/­products/­interbasewww.microsoft.com/­en-us/­microsoft-365/­accessterminusdb.comyanza.com
Technical documentationcloud.google.com/­datastore/­docsdocs.embarcadero.com/­products/­interbasedeveloper.microsoft.com/­en-us/­accessterminusdb.github.io/­terminusdb/­#
DeveloperGoogleEmbarcaderoMicrosoftDataChemist Ltd.Yanza
Initial release20081984199220182015
Current releaseInterBase 2020, December 20191902 (16.0.11328.20222), March 201911.0.0, January 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft OfficeOpen Source infoGPL V3commercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++Prolog, Rust
Server operating systemshostedAndroid
iOS
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinuxWindows
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyes, details hereyesyesyesno
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 possiblenono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like query language (GQL)yesyes infobut not compliant to any SQL standardSQL-like query language (WOQL)no
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
HTTP API
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
JavaScript
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresusing Google App Engineyes infoInterbase procedure and trigger languageyes infosince Access 2010 using the ACE-engineyesno
TriggersCallbacks using the Google Apps Engineyesyes infosince Access 2010 using the ACE-engineyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneGraph Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosInterbase Change ViewsnoneJournaling Streamsnone
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesyesyesno
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 loggingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
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 2003Role-based access controlno

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More resources
Google Cloud DatastoreInterbaseMicrosoft AccessTerminusDB infoformer name was DataChemistYanza
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