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DBMS > Atos Standard Common Repository vs. Databricks vs. Machbase Neo vs. Microsoft Azure AI Search vs. TerminusDB

System Properties Comparison Atos Standard Common Repository vs. Databricks vs. Machbase Neo vs. Microsoft Azure AI Search vs. TerminusDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonTerminusDB infoformer name was DataChemist  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.TimeSeries DBMS for AIoT and BigDataSearch-as-a-service for web and mobile app developmentScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelDocument store
Key-value store
Document store
Relational DBMS
Time Series DBMSSearch engineGraph DBMS
Secondary database modelsVector DBMSDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.commachbase.comazure.microsoft.com/­en-us/­services/­searchterminusdb.com
Technical documentationdocs.databricks.commachbase.com/­dbmslearn.microsoft.com/­en-us/­azure/­searchterminusdb.github.io/­terminusdb/­#
DeveloperAtos Convergence CreatorsDatabricksMachbaseMicrosoftDataChemist Ltd.
Initial release20162013201320152018
Current release1703V8.0, August 2023V111.0.0, January 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree test version availablecommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCProlog, Rust
Server operating systemsLinuxhostedLinux
macOS
Windows
hostedLinux
Data schemeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyes
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.yesyesnonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnowith Databricks SQLSQL-like query languagenoSQL-like query language (WOQL)
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP APIOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesAll languages with LDAP bindingsPython
R
Scala
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C#
Java
JavaScript
Python
JavaScript
Python
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnonoyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding infoImplicit feature of the cloud serviceGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factoryes infoImplicit feature of the cloud serviceJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesnoyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infovolatile and lookup tableno
User concepts infoAccess controlLDAP bind authenticationsimple password-based access controlyes infousing Azure authenticationRole-based access control
More information provided by the system vendor
Atos Standard Common RepositoryDatabricksMachbase Neo infoFormer name was InfinifluxMicrosoft Azure AI SearchTerminusDB infoformer name was DataChemist
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Atos Standard Common RepositoryDatabricksMachbase Neo infoFormer name was InfinifluxMicrosoft Azure AI SearchTerminusDB infoformer name was DataChemist
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