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DBMS > Apache Drill vs. Atos Standard Common Repository vs. Hive vs. Microsoft Azure AI Search vs. SWC-DB

System Properties Comparison Apache Drill vs. Atos Standard Common Repository vs. Hive vs. Microsoft Azure AI Search vs. SWC-DB

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksdata warehouse software for querying and managing large distributed datasets, built on HadoopSearch-as-a-service for web and mobile app developmentA high performance, scalable Wide Column DBMS
Primary database modelDocument store
Relational DBMS
Document store
Key-value store
Relational DBMSSearch engineWide column store
Secondary database modelsVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#119  Overall
#23  Document stores
#56  Relational DBMS
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score5.71
Rank#64  Overall
#8  Search engines
Score0.01
Rank#387  Overall
#13  Wide column stores
Websitedrill.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositoryhive.apache.orgazure.microsoft.com/­en-us/­services/­searchgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdrill.apache.org/­docscwiki.apache.org/­confluence/­display/­Hive/­Homelearn.microsoft.com/­en-us/­azure/­search
DeveloperApache Software FoundationAtos Convergence CreatorsApache Software Foundation infoinitially developed by FacebookMicrosoftAlex Kashirin
Initial release20122016201220152020
Current release1.20.3, January 202317033.1.3, April 2022V10.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache Version 2commercialOpen Source infoGPL V3
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 languageJavaJavaC++
Server operating systemsLinux
OS X
Windows
LinuxAll OS with a Java VMhostedLinux
Data schemeschema-freeSchema and schema-less with LDAP viewsyesyesschema-free
Typing infopredefined data types such as float or dateyesoptionalyesyes
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.noyesnono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoSQL-like DML and DDL statementsnoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
LDAPJDBC
ODBC
Thrift
RESTful HTTP APIProprietary protocol
Thrift
Supported programming languagesC++All languages with LDAP bindingsC++
Java
PHP
Python
C#
Java
JavaScript
Python
C++
Server-side scripts infoStored proceduresuser defined functionsnoyes infouser defined functions and integration of map-reducenono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesnono
User concepts infoAccess controlDepending on the underlying data sourceLDAP bind authenticationAccess rights for users, groups and rolesyes infousing Azure authentication

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More resources
Apache DrillAtos Standard Common RepositoryHiveMicrosoft Azure AI SearchSWC-DB infoSuper Wide Column Database
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