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DBMS > Atos Standard Common Repository vs. Databricks vs. Ehcache

System Properties Comparison Atos Standard Common Repository vs. Databricks vs. Ehcache

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisonEhcache  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 networksThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A widely adopted Java cache with tiered storage options
Primary database modelDocument store
Key-value store
Document store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score76.33
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Score5.23
Rank#68  Overall
#8  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.comwww.ehcache.org
Technical documentationdocs.databricks.comwww.ehcache.org/­documentation
DeveloperAtos Convergence CreatorsDatabricksTerracotta Inc, owned by Software AG
Initial release201620132009
Current release17033.10.0, March 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinuxhostedAll OS with a Java VM
Data schemeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateoptionalyes
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.yesyesno
Secondary indexesyesyesno
SQL infoSupport of SQLnowith Databricks SQLno
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
JCache
Supported programming languagesAll languages with LDAP bindingsPython
R
Scala
Java
Server-side scripts infoStored proceduresnouser defined functions and aggregatesno
Triggersyesyes infoCache Event Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infoby using Terracotta Server
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infoby using Terracotta Server
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDyes infosupports JTA and can work as an XA resource
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approach
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlLDAP bind authenticationno
More information provided by the system vendor
Atos Standard Common RepositoryDatabricksEhcache
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Atos Standard Common RepositoryDatabricksEhcache
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