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DBMS > Atos Standard Common Repository vs. Google Cloud Datastore vs. Hypertable vs. NSDb vs. SpaceTime

System Properties Comparison Atos Standard Common Repository vs. Google Cloud Datastore vs. Hypertable vs. NSDb vs. SpaceTime

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonHypertable  Xexclude from comparisonNSDb  Xexclude from comparisonSpaceTime  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformAn open source BigTable implementation based on distributed file systems such as HadoopScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelDocument store
Key-value store
Document storeWide column storeTime Series DBMSSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorycloud.google.com/­datastorensdb.iowww.mireo.com/­spacetime
Technical documentationcloud.google.com/­datastore/­docsnsdb.io/­Architecture
DeveloperAtos Convergence CreatorsGoogleHypertable Inc.Mireo
Initial release20162008200920172020
Current release17030.9.8.11, March 2016
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java, ScalaC++
Server operating systemsLinuxhostedLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Linux
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptionalyes, details herenoyes: int, bigint, decimal, stringyes
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 indexesyesyesrestricted infoonly exact value or prefix value scansall fields are automatically indexedno
SQL infoSupport of SQLnoSQL-like query language (GQL)noSQL-like query languageA subset of ANSI SQL is implemented
APIs and other access methodsLDAPgRPC (using protocol buffers) API
RESTful HTTP/JSON API
C++ API
Thrift
gRPC
HTTP REST
WebSocket
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindings.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
Java
Scala
C#
C++
Python
Server-side scripts infoStored proceduresnousing Google App Enginenonono
TriggersyesCallbacks using the Google Apps Enginenono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingShardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using Paxosselectable replication factor on file system levelReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate 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 ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Luceneyes
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 authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noyes

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More resources
Atos Standard Common RepositoryGoogle Cloud DatastoreHypertableNSDbSpaceTime
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