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DBMS > Apache Impala vs. Infobright vs. Sadas Engine

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

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonInfobright  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSRelational DBMSRelational 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
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websiteimpala.apache.orgignitetech.com/­softwarelibrary/­infobrightdbwww.sadasengine.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaIgnite Technologies Inc.; formerly InfoBright Inc.SADAS s.r.l.
Initial release201320052006
Current release4.1.0, June 20228.0
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercial 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++CC++
Server operating systemsLinuxLinux
Windows
AIX
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.nonono
Secondary indexesyesno infoKnowledge Grid Technology used insteadyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal 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 MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
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.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-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache ImpalaInfobrightSadas Engine
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6 June 2023, SiliconANGLE News

Apache Impala becomes Top-Level Project
28 November 2017, SDTimes.com

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28 November 2017, Datanami

Apache Doris just 'graduated': Why care about this SQL data warehouse
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provided by Google News



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