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

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

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonInterbase  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformLight-weight proven RDBMS infooriginally from BorlandEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesMicrosoft 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 relationships
Primary database modelDocument storeRelational DBMSKey-value storeRelational DBMSGraph 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
Score2.25
Rank#115  Overall
#19  Key-value stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitecloud.google.com/­datastorewww.embarcadero.com/­products/­interbasegithub.com/­google/­leveldbwww.microsoft.com/­en-us/­microsoft-365/­accessterminusdb.com
Technical documentationcloud.google.com/­datastore/­docsdocs.embarcadero.com/­products/­interbasegithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddeveloper.microsoft.com/­en-us/­accessterminusdb.github.io/­terminusdb/­#
DeveloperGoogleEmbarcaderoGoogleMicrosoftDataChemist Ltd.
Initial release20081984201119922018
Current releaseInterBase 2020, December 20191.23, February 20211902 (16.0.11328.20222), March 201911.0.0, January 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDcommercial infoBundled with Microsoft OfficeOpen Source infoGPL V3
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++C++Prolog, Rust
Server operating systemshostedAndroid
iOS
Linux
OS X
Windows
Illumos
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinux
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyes, details hereyesnoyesyes
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 indexesyesyesnoyes
SQL infoSupport of SQLSQL-like query language (GQL)yesnoyes infobut not compliant to any SQL standardSQL-like query language (WOQL)
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)
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
JavaScript
Python
Server-side scripts infoStored proceduresusing Google App Engineyes infoInterbase procedure and trigger languagenoyes infosince Access 2010 using the ACE-engineyes
TriggersCallbacks using the Google Apps Engineyesnoyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosInterbase Change ViewsnonenoneJournaling Streams
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 pathsyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDnoACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes infobut no files for transaction loggingyes infoin-memory journaling
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-standardnono infoa simple user-level security was built in till version Access 2003Role-based access control

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More resources
Google Cloud DatastoreInterbaseLevelDBMicrosoft AccessTerminusDB infoformer name was DataChemist
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