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DBMS > Atos Standard Common Repository vs. Blazegraph vs. Google Cloud Firestore vs. Microsoft Access

System Properties Comparison Atos Standard Common Repository vs. Blazegraph vs. Google Cloud Firestore vs. Microsoft Access

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBlazegraph  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.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
Graph DBMS
RDF store
Document storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score7.85
Rank#51  Overall
#8  Document stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryblazegraph.comfirebase.google.com/­products/­firestorewww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationwiki.blazegraph.comfirebase.google.com/­docs/­firestoredeveloper.microsoft.com/­en-us/­access
DeveloperAtos Convergence CreatorsBlazegraphGoogleMicrosoft
Initial release2016200620171992
Current release17032.1.5, March 20191902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infoextended commercial license availablecommercialcommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemsLinuxLinux
OS X
Windows
hostedWindows infoNot a real database server, but making use of DLLs
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptionalyes infoRDF literal typesyesyes
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.yesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSPARQL is used as query languagenoyes infobut not compliant to any SQL standard
APIs and other access methodsLDAPJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnoyesyes, Firebase Rules & Cloud Functionsyes infosince Access 2010 using the ACE-engine
Triggersyesnoyes, with Cloud Functionsyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in Graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDyesACID 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.yes
User concepts infoAccess controlLDAP bind authenticationSecurity and Authentication via Web Application Container (Tomcat, Jetty)Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.no infoa simple user-level security was built in till version Access 2003

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More resources
Atos Standard Common RepositoryBlazegraphGoogle Cloud FirestoreMicrosoft Access
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