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DBMS > Heroic vs. Teradata Aster

System Properties Comparison Heroic vs. Teradata Aster

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Editorial information provided by DB-Engines
NameHeroic  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.
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchPlatform for big data analytics on multistructured data sources and types
Primary database modelTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#310  Overall
#24  Time Series DBMS
Websitespotify.github.io/­heroic/­#!/­index
Technical documentationspotify.github.io/­heroic/­#!/­docs/­overview
DeveloperSpotifyTeradata
Initial release20142005
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsLinux
Data schemeschema-freeFlexible 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 dateyesyes
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.noyes infoin Aster File Store
Secondary indexesyes infovia Elasticsearchyes
SQL infoSupport of SQLnoyes
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoR packages
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes 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 methodsnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standard

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More resources
HeroicTeradata Aster
Recent citations in the news

Big Data Analytics: Teradata Launches Aster Discovery Platform
9 October 2013, Data Center Knowledge

Teradata puts Aster on Hadoop, adds 'Listener' For IoT
21 October 2015, ZDNet

Teradata's Aster analytic database gets appliance treatment
22 September 2011, InfoWorld

What Is a Data Lakehouse?
5 March 2022, Coinspeaker

How to Select the Right Database for Time-Series Data
2 December 2021, thenewstack.io

provided by Google News

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