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DBMS > Apache Drill vs. Apache Impala vs. Atos Standard Common Repository

System Properties Comparison Apache Drill vs. Apache Impala vs. Atos Standard Common Repository

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache Impala  Xexclude from comparisonAtos Standard Common Repository  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 StorageAnalytic DBMS for HadoopHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networks
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store
Key-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Websitedrill.apache.orgimpala.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repository
Technical documentationdrill.apache.org/­docsimpala.apache.org/­impala-docs.html
DeveloperApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence Creators
Initial release201220132016
Current release1.20.3, January 20234.1.0, June 20221703
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsLinux
OS X
Windows
LinuxLinux
Data schemeschema-freeyesSchema and schema-less with LDAP views
Typing infopredefined data types such as float or dateyesyesoptional
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.nonoyes
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
LDAP
Supported programming languagesC++All languages supporting JDBC/ODBCAll languages with LDAP bindings
Server-side scripts infoStored proceduresuser defined functionsyes infouser defined functions and integration of map-reduceno
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infocell division
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic execution of specific operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenoyes
User concepts infoAccess controlDepending on the underlying data sourceAccess rights for users, groups and roles infobased on Apache Sentry and KerberosLDAP bind authentication

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More resources
Apache DrillApache ImpalaAtos Standard Common Repository
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