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

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

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBlazegraph  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHarperDB  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.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.
Primary database modelDocument store
Key-value store
Graph DBMS
RDF store
Document storeDocument store
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
Score0.55
Rank#248  Overall
#38  Document stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryblazegraph.comfirebase.google.com/­products/­firestorewww.harperdb.io
Technical documentationwiki.blazegraph.comfirebase.google.com/­docs/­firestoredocs.harperdb.io/­docs
DeveloperAtos Convergence CreatorsBlazegraphGoogleHarperDB
Initial release2016200620172017
Current release17032.1.5, March 20193.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoextended commercial license availablecommercialcommercial infofree community edition available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaNode.js
Server operating systemsLinuxLinux
OS X
Windows
hostedLinux
OS X
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freedynamic schema
Typing infopredefined data types such as float or dateoptionalyes infoRDF literal typesyesyes infoJSON data types
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 indexesyesyesyesyes
SQL infoSupport of SQLnoSPARQL is used as query languagenoSQL-like data manipulation statements
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
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Server-side scripts infoStored proceduresnoyesyes, Firebase Rules & Cloud FunctionsCustom Functions infosince release 3.1
Triggersyesnoyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingA table resides as a whole on one (or more) nodes in a cluster
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replicationyes infothe nodes on which a table resides can be defined
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in Graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDyesAtomic execution of specific operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
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.Access rights for users and roles

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More resources
Atos Standard Common RepositoryBlazegraphGoogle Cloud FirestoreHarperDB
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