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DBMS > Atos Standard Common Repository vs. Bangdb vs. Databricks vs. SQream DB

System Properties Comparison Atos Standard Common Repository vs. Bangdb vs. Databricks vs. SQream DB

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBangdb  Xexclude from comparisonDatabricks  Xexclude from comparisonSQream DB  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 networksConverged and high performance database for device data, events, time series, document and graphThe 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 GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelDocument store
Key-value store
Document store
Graph DBMS
Time Series DBMS
Document store
Relational DBMS
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybangdb.comwww.databricks.comsqream.com
Technical documentationdocs.bangdb.comdocs.databricks.comdocs.sqream.com
DeveloperAtos Convergence CreatorsSachin Sinha, BangDBDatabricksSQream Technologies
Initial release2016201220132017
Current release1703BangDB 2.0, October 20212022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++C++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxLinuxhostedLinux
Data schemeSchema and schema-less with LDAP viewsschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateoptionalyes: string, long, double, int, geospatial, stream, eventsyes, ANSI Standard SQL Types
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.yesnoyes
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialyesno
SQL infoSupport of SQLnoSQL like support with command line toolwith Databricks SQLyes
APIs and other access methodsLDAPProprietary protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
.Net
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsC
C#
C++
Java
Python
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonouser defined functions and aggregatesuser defined functions in Python
Triggersyesyes, Notifications (with Streaming only)no
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmhorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor, Knob for CAP (enterprise version only)yesnone
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, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, run db with in-memory only modeno
User concepts infoAccess controlLDAP bind authenticationyes (enterprise version only)
More information provided by the system vendor
Atos Standard Common RepositoryBangdbDatabricksSQream DB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Atos Standard Common RepositoryBangdbDatabricksSQream DB
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