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DBMS > Apache Impala vs. Greenplum vs. Sadas Engine

System Properties Comparison Apache Impala vs. Greenplum vs. Sadas Engine

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGreenplum  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websiteimpala.apache.orggreenplum.orgwww.sadasengine.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.greenplum.orgwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaPivotal Software Inc.SADAS s.r.l.
Initial release201320052006
Current release4.1.0, June 20227.0.0, September 20238.0
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemsLinuxLinuxAIX
Linux
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyes infosince Version 4.2no
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBCC
Java
Perl
Python
R
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
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.nonoyes 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-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache ImpalaGreenplumSadas Engine
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