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DBMS > Atos Standard Common Repository vs. EDB Postgres vs. FatDB vs. Google Cloud Bigtable vs. Lovefield

System Properties Comparison Atos Standard Common Repository vs. EDB Postgres vs. FatDB vs. Google Cloud Bigtable vs. Lovefield

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonEDB Postgres  Xexclude from comparisonFatDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonLovefield  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.A .NET NoSQL DBMS that can integrate with and extend SQL Server.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Embeddable relational database for web apps written in pure JavaScript
Primary database modelDocument store
Key-value store
Relational DBMSDocument store
Key-value store
Key-value store
Wide column store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#135  Overall
#63  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.enterprisedb.comcloud.google.com/­bigtablegoogle.github.io/­lovefield
Technical documentationwww.enterprisedb.com/­docscloud.google.com/­bigtable/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperAtos Convergence CreatorsEnterpriseDBFatCloudGoogleGoogle
Initial release20162005201220152014
Current release170314, December 20212.1.12, February 2017
License infoCommercial or Open Sourcecommercialcommercial infoBSD for PostgreSQL-componentscommercialcommercialOpen Source infoApache 2.0
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 languageJavaCC#JavaScript
Server operating systemsLinuxLinux
Windows
Windowshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeSchema and schema-less with LDAP viewsyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesyesnoyes
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.yesyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLnoyes infostandard with numerous extensionsno infoVia inetgration in SQL ServernoSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsLDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
C#C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infovia applicationsnono
Triggersyesyesyes infovia applicationsnoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioning infoby hash, list or rangeShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationselectable replication factorInternal replication in Colossus, and regional replication between two clusters in different zonesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes infousing MemoryDB
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardno infoCan implement custom security layer via applicationsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
Atos Standard Common RepositoryEDB PostgresFatDBGoogle Cloud BigtableLovefield
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