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DBMS > Apache Impala vs. EsgynDB vs. Heroic vs. MySQL vs. Netezza

System Properties Comparison Apache Impala vs. EsgynDB vs. Heroic vs. MySQL vs. Netezza

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonEsgynDB  Xexclude from comparisonHeroic  Xexclude from comparisonMySQL  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchWidely used open source RDBMSData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS infoKey/Value like access via memcached APIRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score1061.34
Rank#2  Overall
#2  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websiteimpala.apache.orgwww.esgyn.cngithub.com/­spotify/­heroicwww.mysql.comwww.ibm.com/­products/­netezza
Technical documentationimpala.apache.org/­impala-docs.htmlspotify.github.io/­heroicdev.mysql.com/­doc
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaEsgynSpotifyOracle infosince 2010, originally MySQL AB, then SunIBM
Initial release20132015201419952000
Current release4.1.0, June 20228.4.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache 2.0Open Source infoGPL version 2. Commercial licenses with extended functionallity are availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, JavaJavaC and C++
Server operating systemsLinuxLinuxFreeBSD
Linux
OS X
Solaris
Windows
Linux infoincluded in appliance
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononoyes
Secondary indexesyesyesyes infovia Elasticsearchyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoyes infowith proprietary extensionsyes
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
JDBC
ODBC
OLE DB
Supported programming languagesAll languages supporting JDBC/ODBCAll languages supporting JDBC/ODBC/ADO.NetAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJava Stored Proceduresnoyes infoproprietary syntaxyes
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication between multi datacentersyesMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes
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.nononoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or rolesUsers with fine-grained authorization concept

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More resources
Apache ImpalaEsgynDBHeroicMySQLNetezza infoAlso called PureData System for Analytics by IBM
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