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DBMS > Atos Standard Common Repository vs. Databricks vs. InfinityDB vs. MaxDB

System Properties Comparison Atos Standard Common Repository vs. Databricks vs. InfinityDB vs. MaxDB

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisonInfinityDB  Xexclude from comparisonMaxDB infoformerly named Adabas-D  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 Java embedded Key-Value Store which extends the Java Map interfaceA robust and reliable RDBMS optimized to run all major SAP solutions
Primary database modelDocument store
Key-value store
Document store
Relational DBMS
Key-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Score2.32
Rank#112  Overall
#55  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.comboilerbay.commaxdb.sap.com
Technical documentationdocs.databricks.comboilerbay.com/­infinitydb/­manualmaxdb.sap.com/­documentation
DeveloperAtos Convergence CreatorsDatabricksBoiler Bay Inc.SAP, acquired from Software AG (Adabas-D) in 1997
Initial release2016201320021984
Current release17034.07.9.10.12, February 2024
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemsLinuxhostedAll OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)yes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or dateoptionalyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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 indexesyesyesno infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLnowith Databricks SQLnoyes
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
JDBC
ODBC
WebDAV
Supported programming languagesAll languages with LDAP bindingsPython
R
Scala
Java.Net
C#
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnoyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnoneSource-replica replication
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 configurationImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlLDAP bind authenticationnofine grained access rights according to SQL-standard
More information provided by the system vendor
Atos Standard Common RepositoryDatabricksInfinityDBMaxDB infoformerly named Adabas-D
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Atos Standard Common RepositoryDatabricksInfinityDBMaxDB infoformerly named Adabas-D
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