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DBMS > Ignite vs. Teradata vs. Teradata Aster

System Properties Comparison Ignite vs. Teradata vs. Teradata Aster

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Editorial information provided by DB-Engines
NameIgnite  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.
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A hybrid cloud data analytics software platform (Teradata Vantage)Platform for big data analytics on multistructured data sources and types
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.85
Rank#74  Overall
#10  Key-value stores
#41  Relational DBMS
Score69.68
Rank#17  Overall
#11  Relational DBMS
Websiteignite.apache.orgwww.teradata.com
Technical documentationapacheignite.readme.io/­docsdocs.teradata.com
DeveloperApache Software FoundationTeradataTeradata
Initial release201519842005
Current releaseApache Ignite 2.6Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .Net
Server operating systemsLinux
OS X
Solaris
Windows
hosted
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.yesyesyes infoin Aster File Store
Secondary indexesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes infoSQL 2016 + extensionsyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infoUDFs, stored procedures, table functions in parallelR packages
Triggersyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoHashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replication
Source-replica 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 (compute grid and hadoop accelerator)noyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 dataACIDACIDACID
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.yesyesno
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
IgniteTeradataTeradata Aster
DB-Engines blog posts

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

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Recent citations in the news

GridGain Opens Registration, Announces Call for Papers for Ignite Summit
31 August 2021, GlobeNewswire

First Apache Ignite Summit Energizes Global Audience
10 June 2021, GlobeNewswire

The Apache® Software Foundation Announces Annual Report for
31 August 2021, GlobeNewswire

Optimizing the Relationship Between Apache Ignite and Kubernetes
9 October 2020, Container Journal

GridGain Announces Keynote Speakers for First Ignite Summit
6 May 2021, GlobeNewswire

provided by Google News

Tesco Selects Teradata Vantage to Drive Enterprise-Wide Analytics at Scale
21 September 2021, Joplin Globe

5 Top Stock Gainers for Monday: AstraZeneca, Astronics, Teradata
20 September 2021, TheStreet

Why Morgan Stanley Sees 30.4% Upside In Teradata? - Benzinga
20 September 2021, Benzinga

Teradata Ranked a Top 100 Global Provider of Financial Technology in the 2021 IDC FinTech Rankings Top 100
16 September 2021, Business Wire

Teradata Highlights its New Strategy and Plan to Deliver Sustainable Growth and Value Creation
9 September 2021, Business Wire

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

Teradata platform helps big-data analysts ask the right questions
23 October 2013, GCN.com

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

Case study: Siemens reduces train failures with Teradata Aster
12 September 2016, RCR Wireless News

Data Warehouse Costs Soar, ROI Still Not Realized
28 August 2021, insideBIGDATA

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