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DBMS > Fauna vs. Google Cloud Datastore vs. MaxDB vs. Microsoft Access

System Properties Comparison Fauna vs. Google Cloud Datastore vs. MaxDB vs. Microsoft Access

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Editorial information provided by DB-Engines
NameFauna infopreviously named FaunaDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA robust and reliable RDBMS optimized to run all major SAP solutionsMicrosoft 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.)
Primary database modelDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Document storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#143  Overall
#26  Document stores
#13  Graph DBMS
#66  Relational DBMS
#13  Time Series DBMS
Score4.13
Rank#71  Overall
#12  Document stores
Score2.15
Rank#115  Overall
#55  Relational DBMS
Score93.76
Rank#12  Overall
#8  Relational DBMS
Websitefauna.comcloud.google.com/­datastoremaxdb.sap.comwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.fauna.comcloud.google.com/­datastore/­docsmaxdb.sap.com/­documentationdeveloper.microsoft.com/­en-us/­access
DeveloperFauna, Inc.GoogleSAP, acquired from Software AG (Adabas-D) in 1997Microsoft
Initial release2014200819841992
Current release7.9.10.12, February 20241902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial infoLimited community edition freecommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC++C++
Server operating systemshostedhostedAIX
HP-UX
Linux
Solaris
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyes, details hereyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like query language (GQL)yesyes infobut not compliant to any SQL standard
APIs and other access methodsRESTful HTTP APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
WebDAV
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
Java
Perl
PHP
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functionsusing Google App Engineyesyes infosince Access 2010 using the ACE-engine
TriggersnoCallbacks using the Google Apps Engineyesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication using PaxosSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 Consistency
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlIdentity management, authentication, and access 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 2003

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More resources
Fauna infopreviously named FaunaDBGoogle Cloud DatastoreMaxDB infoformerly named Adabas-DMicrosoft Access
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