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DBMS > Atos Standard Common Repository vs. Databricks vs. Oracle Coherence vs. Riak KV

System Properties Comparison Atos Standard Common Repository vs. Databricks vs. Oracle Coherence vs. Riak KV

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisonOracle Coherence  Xexclude from comparisonRiak KV  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.Oracles in-memory data grid solutionDistributed, fault tolerant key-value store
Primary database modelDocument store
Key-value store
Document store
Relational DBMS
Key-value storeKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Score4.10
Rank#82  Overall
#9  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.comwww.oracle.com/­java/­coherence
Technical documentationdocs.databricks.comdocs.oracle.com/­en/­middleware/­standalone/­coherencewww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperAtos Convergence CreatorsDatabricksOracleOpenSource, formerly Basho Technologies
Initial release2016201320072009
Current release170314.1, August 20233.2.0, December 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaErlang
Server operating systemsLinuxhostedAll OS with a Java VMLinux
OS X
Data schemeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free
Typing infopredefined data types such as float or dateoptionalyesno
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.yesyesnono
Secondary indexesyesyesnorestricted
SQL infoSupport of SQLnowith Databricks SQLnono
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
JCache
JPA
RESTful HTTP API
HTTP API
Native Erlang Interface
Supported programming languagesAll languages with LDAP bindingsPython
R
Scala
.Net
C++
Java
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnoErlang
Triggersyesyes infoLive Eventsyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes, with selectable consistency levelselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDconfigurableno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infooptionallyyes
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 authenticationauthentification to access the cache via certificates or http basic authenticationyes, using Riak Security
More information provided by the system vendor
Atos Standard Common RepositoryDatabricksOracle CoherenceRiak KV
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Atos Standard Common RepositoryDatabricksOracle CoherenceRiak KV
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