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DBMS > Atos Standard Common Repository vs. Databend vs. Google Cloud Datastore vs. RethinkDB

System Properties Comparison Atos Standard Common Repository vs. Databend vs. Google Cloud Datastore vs. RethinkDB

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatabend  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonRethinkDB  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 networksAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelDocument store
Key-value store
Relational DBMSDocument storeDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score2.66
Rank#107  Overall
#20  Document stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­datafuselabs/­databend
www.databend.com
cloud.google.com/­datastorerethinkdb.com
Technical documentationdocs.databend.comcloud.google.com/­datastore/­docsrethinkdb.com/­docs
DeveloperAtos Convergence CreatorsDatabend LabsGoogleThe Linux Foundation infosince July 2017
Initial release2016202120082009
Current release17031.0.59, April 20232.4.1, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2
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 languageJavaRustC++
Server operating systemsLinuxhosted
Linux
macOS
hostedLinux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema-freeschema-free
Typing infopredefined data types such as float or dateoptionalyesyes, details hereyes infostring, binary, float, bool, date, geometry
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 indexesyesnoyesyes
SQL infoSupport of SQLnoyesSQL-like query language (GQL)no
APIs and other access methodsLDAPCLI Client
JDBC
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindingsGo
Java
JavaScript (Node.js)
Python
Rust
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresnonousing Google App Engine
TriggersyesnoCallbacks using the Google Apps EngineClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneShardingSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication using PaxosSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate 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.Immediate Consistency
Foreign keys infoReferential integritynonoyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC based
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 authenticationUsers with fine-grained authorization concept, user rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infousers and table-level permissions

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More resources
Atos Standard Common RepositoryDatabendGoogle Cloud DatastoreRethinkDB
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