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

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

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonInfobright  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.96
Rank#194  Overall
#91  Relational DBMS
Websiteimpala.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositoryignitetech.com/­softwarelibrary/­infobrightdb
Technical documentationimpala.apache.org/­impala-docs.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence CreatorsIgnite Technologies Inc.; formerly InfoBright Inc.
Initial release201320162005
Current release4.1.0, June 20221703
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC
Server operating systemsLinuxLinuxLinux
Windows
Data schemeyesSchema and schema-less with LDAP viewsyes
Typing infopredefined data types such as float or dateyesoptionalyes
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.noyesno
Secondary indexesyesyesno infoKnowledge Grid Technology used instead
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBC
ODBC
LDAPADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindings.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenono
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosLDAP bind authenticationfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilities

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More resources
Apache ImpalaAtos Standard Common RepositoryInfobright
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Cloudera creates observability tool to help enterprises manage cloud costs
6 June 2023, SiliconANGLE News

Apache Impala 4 Supports Operator Multi-Threading
29 July 2021, iProgrammer

Apache Impala becomes Top-Level Project
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28 November 2017, Datanami

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