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DBMS > Apache Impala vs. HEAVY.AI vs. MaxDB

System Properties Comparison Apache Impala vs. HEAVY.AI vs. MaxDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA robust and reliable RDBMS optimized to run all major SAP solutions
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score2.32
Rank#112  Overall
#55  Relational DBMS
Websiteimpala.apache.orggithub.com/­heavyai/­heavydb
www.heavy.ai
maxdb.sap.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.heavy.aimaxdb.sap.com/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaHEAVY.AI, Inc.SAP, acquired from Software AG (Adabas-D) in 1997
Initial release201320161984
Current release4.1.0, June 20225.10, January 20227.9.10.12, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2; enterprise edition availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++ and CUDAC++
Server operating systemsLinuxLinuxAIX
HP-UX
Linux
Solaris
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 indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
WebDAV
Supported programming languagesAll languages supporting JDBC/ODBCAll languages supporting JDBC/ODBC/Thrift
Python
.Net
C#
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationSource-replica replication
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 datanonoACID
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.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache ImpalaHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022MaxDB infoformerly named Adabas-D
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