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DBMS > Atos Standard Common Repository vs. Dgraph vs. Google Cloud Bigtable vs. Google Cloud Datastore

System Properties Comparison Atos Standard Common Repository vs. Dgraph vs. Google Cloud Bigtable vs. Google Cloud Datastore

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDgraph  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksDistributed and scalable native Graph DBMSGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform
Primary database modelDocument store
Key-value store
Graph DBMSWide column storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.74
Rank#129  Overall
#11  Graph DBMS
Score3.64
Rank#91  Overall
#8  Wide column stores
Score4.43
Rank#80  Overall
#12  Document stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorydgraph.iocloud.google.com/­bigtablecloud.google.com/­datastore
Technical documentationdgraph.io/­docscloud.google.com/­bigtable/­docscloud.google.com/­datastore/­docs
DeveloperAtos Convergence CreatorsDgraph Labs, Inc.GoogleGoogle
Initial release2016201620152008
Current release1703
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo
Server operating systemsLinuxLinux
OS X
Windows
hostedhosted
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateoptionalyesnoyes, details here
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 indexesyesyesnoyes
SQL infoSupport of SQLnononoSQL-like query language (GQL)
APIs and other access methodsLDAPGraphQL query language
gRPC (using protocol buffers) API
HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindingsC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnononousing Google App Engine
TriggersyesnonoCallbacks using the Google Apps Engine
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication via RaftInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.
Foreign keys infoReferential integritynononoyes infovia ReferenceProperties or Ancestor paths
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDAtomic single-row operationsACID infoSerializable Isolation within Transactions, Read Committed outside of Transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 infoPlanned for future releasesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)
More information provided by the system vendor
Atos Standard Common RepositoryDgraphGoogle Cloud BigtableGoogle Cloud Datastore
Competitive advantagesHorizontally scalable transactional graph database with fast arbitrary-depth joins...
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Atos Standard Common RepositoryDgraphGoogle Cloud BigtableGoogle Cloud Datastore
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