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DBMS > Atos Standard Common Repository vs. Blazegraph vs. Cloudflare Workers KV vs. Google Cloud Firestore vs. Netezza

System Properties Comparison Atos Standard Common Repository vs. Blazegraph vs. Cloudflare Workers KV vs. Google Cloud Firestore vs. Netezza

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBlazegraph  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  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.A global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.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.Data warehouse and analytics appliance part of IBM PureSystems
Primary database modelDocument store
Key-value store
Graph DBMS
RDF store
Key-value storeDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score0.39
Rank#274  Overall
#39  Key-value stores
Score7.36
Rank#53  Overall
#9  Document stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryblazegraph.comwww.cloudflare.com/­developer-platform/­workers-kvfirebase.google.com/­products/­firestorewww.ibm.com/­products/­netezza
Technical documentationwiki.blazegraph.comdevelopers.cloudflare.com/­kv/­apifirebase.google.com/­docs/­firestore
DeveloperAtos Convergence CreatorsBlazegraphCloudflareGoogleIBM
Initial release20162006201820172000
Current release17032.1.5, March 2019
License infoCommercial or Open SourcecommercialOpen Source infoextended commercial license availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinuxLinux
OS X
Windows
hostedhostedLinux infoincluded in appliance
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptionalyes infoRDF literal typesnoyesyes
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 SQLnoSPARQL is used as query languagenonoyes
APIs and other access methodsLDAPJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
HTTP REST
Proprietary protocol
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
OLE DB
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnoyesnoyes, Firebase Rules & Cloud Functionsyes
Triggersyesnonoyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyesMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflowyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in Graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
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.Users with fine-grained authorization concept

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More resources
Atos Standard Common RepositoryBlazegraphCloudflare Workers KVGoogle Cloud FirestoreNetezza infoAlso called PureData System for Analytics by IBM
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