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DBMS > Atos Standard Common Repository vs. Databricks vs. Manticore Search vs. Riak KV

System Properties Comparison Atos Standard Common Repository vs. Databricks vs. Manticore Search vs. Riak KV

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisonManticore Search  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.Multi-storage database for search, including full-text search.Distributed, fault tolerant key-value store
Primary database modelDocument store
Key-value store
Document store
Relational DBMS
Search engineKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score4.10
Rank#82  Overall
#9  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.commanticoresearch.com
Technical documentationdocs.databricks.commanual.manticoresearch.comwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperAtos Convergence CreatorsDatabricksManticore SoftwareOpenSource, formerly Basho Technologies
Initial release2016201320172009
Current release17036.0, February 20233.2.0, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2Open 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 languageJavaC++Erlang
Server operating systemsLinuxhostedFreeBSD
Linux
macOS
Windows
Linux
OS X
Data schemeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)Fixed schemaschema-free
Typing infopredefined data types such as float or dateoptionalInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanno
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.yesyesCan index from XMLno
Secondary indexesyesyesyes infofull-text index on all search fieldsrestricted
SQL infoSupport of SQLnowith Databricks SQLSQL-like query languageno
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP API
Native Erlang Interface
Supported programming languagesAll languages with LDAP bindingsPython
R
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
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 aggregatesuser defined functionsErlang
Triggersyesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSynchronous replication based on Galera libraryselectable 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
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 operationsACIDyes infoisolated transactions for atomic changes and binary logging for safe writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
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 authenticationnoyes, using Riak Security
More information provided by the system vendor
Atos Standard Common RepositoryDatabricksManticore SearchRiak KV
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Atos Standard Common RepositoryDatabricksManticore SearchRiak KV
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