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DBMS > Atos Standard Common Repository vs. Ehcache vs. Google BigQuery

System Properties Comparison Atos Standard Common Repository vs. Ehcache vs. Google BigQuery

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonEhcache  Xexclude from comparisonGoogle BigQuery  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 networksA widely adopted Java cache with tiered storage optionsLarge scale data warehouse service with append-only tables
Primary database modelDocument store
Key-value store
Key-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.10
Rank#66  Overall
#9  Key-value stores
Score45.81
Rank#24  Overall
#16  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.ehcache.orgcloud.google.com/­bigquery
Technical documentationwww.ehcache.org/­documentationcloud.google.com/­bigquery/­docs
DeveloperAtos Convergence CreatorsTerracotta Inc, owned by Software AGGoogle
Initial release201620092010
Current release17033.8.1, September 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemsLinuxAll OS with a Java VMhosted
Data schemeSchema and schema-less with LDAP viewsschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesyes
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.yesnono
Secondary indexesyesnono
SQL infoSupport of SQLnonoyes
APIs and other access methodsLDAPJCacheRESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindingsJava.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonouser defined functions infoin JavaScript
Triggersyesyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infoby using Terracotta Servernone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoby using Terracotta Server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyes infosupports JTA and can work as an XA resourceno infoSince BigQuery is designed for querying data
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlLDAP bind authenticationnoAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)

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More resources
Atos Standard Common RepositoryEhcacheGoogle BigQuery
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