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

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

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBlazegraph  Xexclude from comparisonGeoMesa  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonKinetica  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.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.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.Fully vectorized database across both GPUs and CPUs
Primary database modelDocument store
Key-value store
Graph DBMS
RDF store
Spatial DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series 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
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryblazegraph.comwww.geomesa.orgfirebase.google.com/­products/­firestorewww.kinetica.com
Technical documentationwiki.blazegraph.comwww.geomesa.org/­documentation/­stable/­user/­index.htmlfirebase.google.com/­docs/­firestoredocs.kinetica.com
DeveloperAtos Convergence CreatorsBlazegraphCCRi and othersGoogleKinetica
Initial release20162006201420172012
Current release17032.1.5, March 20195.0.0, May 20247.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoextended commercial license availableOpen Source infoApache License 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScalaC, C++
Server operating systemsLinuxLinux
OS X
Windows
hostedLinux
Data schemeSchema and schema-less with LDAP viewsschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateoptionalyes infoRDF literal typesyesyesyes
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.yesnonono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoSPARQL is used as query languagenonoSQL-like DML and DDL 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
RESTful HTTP API
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++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesnoyes, Firebase Rules & Cloud Functionsuser defined functions
Triggersyesnonoyes, with Cloud Functionsyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingdepending on storage layerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesdepending on storage layerMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesUsing 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 configurationdepending on storage layerImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infoRelationships in Graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoyesno
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.yesdepending on storage layeryes infoGPU vRAM or System RAM
User concepts infoAccess controlLDAP bind authenticationSecurity and Authentication via Web Application Container (Tomcat, Jetty)yes infodepending on the DBMS used for storageAccess 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 on table level

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More resources
Atos Standard Common RepositoryBlazegraphGeoMesaGoogle Cloud FirestoreKinetica
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