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DBMS > Impala vs. OmniSci vs. Riak KV vs. Sadas Engine

System Properties Comparison Impala vs. OmniSci vs. Riak KV vs. Sadas Engine

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Editorial information provided by DB-Engines
NameImpala  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonRiak KV  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsDistributed, fault tolerant key-value storeSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments
Primary database modelRelational DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.68
Rank#38  Overall
#23  Relational DBMS
Score1.23
Rank#157  Overall
#76  Relational DBMS
Score5.88
Rank#63  Overall
#8  Key-value stores
Score0.00
Rank#351  Overall
#146  Relational DBMS
Websitewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.omnisci.comriak.com/­products/­riak-kvwww.sadasengine.com
Technical documentationdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmldocs.omnisci.comwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-db
DeveloperClouderaMapD Technologies, Inc.Basho TechnologiesSADAS s.r.l.
Initial release2013201620092006
Current release3.4.0, April 20205.6, April 20212.1.0, April 20158.0
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2; enterprise edition availableOpen Source infoApache version 2, commercial enterprise editioncommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++ and CUDAErlangC++
Server operating systemsLinuxLinuxLinux
OS X
AIX
Linux
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononono
Secondary indexesyesnorestrictedyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoyes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
Thrift
HTTP API
Native Erlang Interface
JDBC
ODBC
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBCAll languages supporting JDBC/ODBC/Thrift
Python
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
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoJavaScript and Erlangno
Triggersnonoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinSharding infono "single point of failure"horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationselectable replication factornone
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 ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
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.noyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles according to SQL-standard

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More resources
ImpalaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018Riak KVSadas Engine
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