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DBMS > Atos Standard Common Repository vs. FatDB vs. Google BigQuery vs. Immudb vs. Microsoft Access

System Properties Comparison Atos Standard Common Repository vs. FatDB vs. Google BigQuery vs. Immudb vs. Microsoft Access

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonFatDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonImmudb  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA .NET NoSQL DBMS that can integrate with and extend SQL Server.Large scale data warehouse service with append-only tablesAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Microsoft 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
Key-value store
Document store
Key-value store
Relational DBMSKey-value storeRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorycloud.google.com/­bigquerygithub.com/­codenotary/­immudb
immudb.io
www.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationcloud.google.com/­bigquery/­docsdocs.immudb.iodeveloper.microsoft.com/­en-us/­access
DeveloperAtos Convergence CreatorsFatCloudGoogleCodenotaryMicrosoft
Initial release20162012201020201992
Current release17031.2.3, April 20221902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2.0commercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#GoC++
Server operating systemsLinuxWindowshostedBSD
Linux
macOS
Solaris
Windows
z/OS
Windows infoNot a real database server, but making use of DLLs
Data schemeSchema and schema-less with LDAP viewsschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesyesyes
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.yesnono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnono infoVia inetgration in SQL ServeryesSQL-like syntaxyes infobut not compliant to any SQL standard
APIs and other access methodsLDAP.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
RESTful HTTP/JSON APIgRPC protocol
PostgreSQL wire protocol
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesAll languages with LDAP bindingsC#.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnoyes infovia applicationsuser defined functions infoin JavaScriptnoyes infosince Access 2010 using the ACE-engine
Triggersyesyes infovia applicationsnonoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnono infoSince BigQuery is designed for querying dataACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.yesnono
User concepts infoAccess controlLDAP bind authenticationno infoCan implement custom security layer via applicationsAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)no infoa simple user-level security was built in till version Access 2003

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More resources
Atos Standard Common RepositoryFatDBGoogle BigQueryImmudbMicrosoft Access
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