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DBMS > Impala vs. Netezza vs. Yaacomo

System Properties Comparison Impala vs. Netezza vs. Yaacomo

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Editorial information provided by DB-Engines
NameImpala  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopData warehouse and analytics appliance part of IBM PureSystemsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.07
Rank#36  Overall
#23  Relational DBMS
Score18.65
Rank#33  Overall
#20  Relational DBMS
Score0.00
Rank#334  Overall
#139  Relational DBMS
Websitewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.ibm.com/­products/­netezzayaacomo.com
Technical documentationdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperClouderaIBMQ2WEB GmbH
Initial release201320002009
Current release3.3.0, August 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemsLinuxLinux infoincluded in applianceAndroid
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
OLE DB
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationSource-replica replication
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 Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
ImpalaNetezza infoAlso called PureData System for Analytics by IBMYaacomo
Recent citations in the news

Cloudera’s Impala brings Hadoop to SQL and BI
25 October 2012, ZDNet

Cloudera says Impala is faster than Hive, which isn't saying much – Gigaom
13 January 2014, GigaOM

Cloudera's a data warehouse player now
28 August 2018, ZDNet

Pentaho adds Amazon Redshift, Cloudera Impala to stable of data sources
17 February 2015, SiliconANGLE

Apache Impala Adds ODBC Scalar Functions
17 May 2018, iProgrammer

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Next Pathway update targets Hadoop migrations
24 February 2021, TechTarget

Global Active Data Warehousing Market 2021 to Witness Splendid Growth by 2026: Netezza, Kognitio, Sybase, Oracle, Kognitio, Microsoft, Cloudera
25 February 2021, Express Keeper

He Couldn't Beat Teradata. Now He's Its CEO
2 February 2021, Datanami

IBM Brings Back a Netezza, Attacks Yellowbrick
29 June 2020, Datanami

Netezza’s Not Dead: It’s Just Ascended
25 June 2020, Computer Business Review

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