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DBMS > Apache Impala vs. Atos Standard Common Repository vs. Microsoft Azure SQL Database vs. Riak KV vs. SWC-DB

System Properties Comparison Apache Impala vs. Atos Standard Common Repository vs. Microsoft Azure SQL Database vs. Riak KV vs. SWC-DB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonRiak KV  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.
DescriptionAnalytic DBMS for HadoopHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksDatabase as a Service offering with high compatibility to Microsoft SQL ServerDistributed, fault tolerant key-value storeA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesWide column store
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.08
Rank#364  Overall
#13  Wide column stores
Websiteimpala.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositoryazure.microsoft.com/­en-us/­products/­azure-sql/­databasegithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationimpala.apache.org/­impala-docs.htmldocs.microsoft.com/­en-us/­azure/­azure-sqlwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence CreatorsMicrosoftOpenSource, formerly Basho TechnologiesAlex Kashirin
Initial release20132016201020092020
Current release4.1.0, June 20221703V123.2.0, December 20220.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoApache version 2, commercial enterprise editionOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++ErlangC++
Server operating systemsLinuxLinuxhostedLinux
OS X
Linux
Data schemeyesSchema and schema-less with LDAP viewsyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesoptionalyesno
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.noyesyesnono
Secondary indexesyesyesyesrestricted
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesnoSQL-like query language
APIs and other access methodsJDBC
ODBC
LDAPADO.NET
JDBC
ODBC
HTTP API
Native Erlang Interface
Proprietary protocol
Thrift
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindings.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoTransact SQLErlangno
Triggersnoyesyesyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes, with always 3 replicas availableselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosLDAP bind authenticationfine grained access rights according to SQL-standardyes, using Riak Security

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More resources
Apache ImpalaAtos Standard Common RepositoryMicrosoft Azure SQL Database infoformerly SQL AzureRiak KVSWC-DB infoSuper Wide Column Database
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