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DBMS > Impala vs. Teradata vs. Teradata Aster

System Properties Comparison Impala vs. Teradata vs. Teradata Aster

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Editorial information provided by DB-Engines
NameImpala  Xexclude from comparisonTeradata  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopA hybrid cloud data analytics software platform (Teradata Vantage)Platform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.57
Rank#37  Overall
#23  Relational DBMS
Score78.74
Rank#15  Overall
#10  Relational DBMS
Websitewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.teradata.comwww.teradata.com/­products-and-services/­teradata-analytics-platform
Technical documentationwww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmldocs.teradata.com
DeveloperClouderaTeradataTeradata
Initial release201319842005
Current release3.3.0, August 2019Teradata Vantage 1.0 MU2, January 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsLinuxhosted
Linux
Linux
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
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.noyesyes infoin Aster File Store
Secondary indexesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoSQL 2016 + extensionsyes
APIs and other access methodsJDBC
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
OLE DB
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoUDFs, stored procedures, table functions in parallelR packages
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoHashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMaster-master replication
Master-slave replication
yes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesno
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.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
ImpalaTeradataTeradata Aster
DB-Engines blog posts

Teradata is the most popular data warehouse DBMS
2 April 2013, Paul Andlinger

show all

Conferences and events

Teradata Universe 2019
Denver, Colorado, USA, 20-24 October 2019

Recent citations in the news

Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

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

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

Apache Impala gets top-level status as open source Hadoop tool
1 December 2017, TechTarget

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

provided by Google News

Teradata puts Vantage analytics platform on Google Cloud, launches customer experience, analyst versions
22 October 2019, ZDNet

Teradata survey says almost all companies struggle to keep up with digital disruption
22 October 2019, TechRepublic

Teradata Unifies IT, Marketing, and Customer Intelligence into Single CDP; Launches Vantage CX
23 October 2019, MarTech Series

Teradata Corporation [TDC] – Analyzing the TDC using Fundamentals and Trend Analysis
23 October 2019, The Dwinnex

How Siemens Healthineers Translates Raw Data Into Answers
1 October 2019, Forbes

provided by Google News

Teradata ports Aster analytics to Hadoop
30 August 2016, ZDNet

An overview of the Teradata Aster Analytics platform
31 May 2017, TechTarget

Teradata Aster Analytics Going Places: On Hadoop and AWS
24 August 2016, PR Newswire

New Teradata CEO pursues cloud-based architecture
22 January 2019, TechTarget

Teradata Vantage: A Complete Solution for Analytics by Ron Powell
28 February 2019, B-EYE-Network

provided by Google News

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