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DBMS > Atos Standard Common Repository vs. Databricks vs. Drizzle vs. Riak TS vs. Rockset

System Properties Comparison Atos Standard Common Repository vs. Databricks vs. Drizzle vs. Riak TS vs. Rockset

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisonDrizzle  Xexclude from comparisonRiak TS  Xexclude from comparisonRockset  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded 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.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KVA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelDocument store
Key-value store
Document store
Relational DBMS
Relational DBMSTime Series DBMSDocument store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.comrockset.com
Technical documentationdocs.databricks.comwww.tiot.jp/­riak-docs/­riak/­ts/­latestdocs.rockset.com
DeveloperAtos Convergence CreatorsDatabricksDrizzle project, originally started by Brian AkerOpen Source, formerly Basho TechnologiesRockset
Initial release20162013200820152019
Current release17037.2.4, September 20123.0.0, September 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGNU GPLOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ErlangC++
Server operating systemsLinuxhostedFreeBSD
Linux
OS X
Linux
OS X
hosted
Data schemeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free
Typing infopredefined data types such as float or dateoptionalyesnodynamic typing
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 infoingestion from XML files supported
Secondary indexesyesyesyesrestrictedall fields are automatically indexed
SQL infoSupport of SQLnowith Databricks SQLyes infowith proprietary extensionsyes, limitedRead-only SQL queries, including JOINs
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
JDBCHTTP API
Native Erlang Interface
HTTP REST
Supported programming languagesAll languages with LDAP bindingsPython
R
Scala
C
C++
Java
PHP
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
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnoErlangno
Triggersyesno infohooks for callbacks inside the server can be used.yes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication
Source-replica replication
selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlLDAP bind authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTPnoAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
Atos Standard Common RepositoryDatabricksDrizzleRiak TSRockset
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Atos Standard Common RepositoryDatabricksDrizzleRiak TSRockset
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