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DBMS > Apache Pinot vs. Atos Standard Common Repository vs. dBASE vs. Microsoft Azure AI Search vs. Teradata Aster

System Properties Comparison Apache Pinot vs. Atos Standard Common Repository vs. dBASE vs. Microsoft Azure AI Search vs. Teradata Aster

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisondBASE  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonTeradata Aster  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksdBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.Search-as-a-service for web and mobile app developmentPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSSearch engineRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websitepinot.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.dbase.comazure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.pinot.apache.orgwww.dbase.com/­support/­knowledgebaselearn.microsoft.com/­en-us/­azure/­search
DeveloperApache Software Foundation and contributorsAtos Convergence CreatorsAsthon TateMicrosoftTeradata
Initial release20152016197920152005
Current release1.0.0, September 20231703dBASE 2019, 2019V1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemsAll OS with a Java JDK11 or higherLinuxDOS infodBase Classic
Windows infodBase Pro
hostedLinux
Data schemeyesSchema and schema-less with LDAP viewsyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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 infoin Aster File Store
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languagenononoyes
APIs and other access methodsJDBCLDAPnone infoThe IDE can access other DBMS or ODBC-sources.RESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesGo
Java
Python
All languages with LDAP bindingsdBase proprietary IDEC#
Java
JavaScript
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnono infoThe IDE can access stored procedures in other database systems.noR packages
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infocell divisionnoneSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes infoImplicit feature of the cloud serviceyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSnoACID
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.yesnono
User concepts infoAccess controlLDAP bind authenticationAccess rights for users and rolesyes infousing Azure authenticationfine grained access rights according to SQL-standard

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More resources
Apache PinotAtos Standard Common RepositorydBASEMicrosoft Azure AI SearchTeradata Aster
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