DBMS > Heroic vs. MySQL vs. Teradata Aster
System Properties Comparison Heroic vs. MySQL vs. Teradata Aster
Please select another system to include it in the comparison.
|Editorial information provided by DB-Engines|
|Name||Heroic Xexclude from comparison||MySQL Xexclude from comparison||Teradata Aster Xexclude from comparison|
|Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.|
|Description||Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch||Widely used open source RDBMS||Platform for big data analytics on multistructured data sources and types|
|Primary database model||Time Series DBMS||Relational DBMS Key/Value like access via memcached API||Relational DBMS|
|Secondary database models||Document store|
|Developer||Spotify||Oracle since 2010, originally MySQL AB, then Sun||Teradata|
|Current release||8.0.32, January 2023|
|License Commercial or Open Source||Open Source Apache 2.0||Open Source GPL version 2. Commercial licenses with extended functionallity are available||commercial|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|ScaleGrid for MySQL: Fully managed MySQL hosting On-Premises and on a wide variety of cloud providers. Easily deploy, monitor, provision, and scale your deployments in the cloud.|
|Implementation language||Java||C and C++|
|Server operating systems||FreeBSD|
|Data scheme||schema-free||yes||Flexible Schema (defined schema, partial schema, schema free) defined schema within the relational store; partial schema or schema free in the Aster File Store|
|Typing predefined data types such as float or date||yes||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||yes||yes in Aster File Store|
|Secondary indexes||yes via Elasticsearch||yes||yes|
|SQL Support of SQL||no||yes with proprietary extensions||yes|
|APIs and other access methods||HQL (Heroic Query Language, a JSON-based language)|
Proprietary native API
|Supported programming languages||Ada|
|Server-side scripts Stored procedures||no||yes proprietary syntax||R packages|
|Partitioning methods Methods for storing different data on different nodes||Sharding||horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||Multi-source replication|
|yes Dimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||yes SQL Map-Reduce Framework|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency|
|Immediate Consistency||Immediate Consistency or Eventual Consistency depending on configuration|
|Foreign keys Referential integrity||no||yes not for MyISAM storage engine||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID not for MyISAM storage engine||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes table locks or row locks depending on storage engine||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes||no|
|User concepts Access control||Users with fine-grained authorization concept no user groups or roles||fine grained access rights according to SQL-standard|
More information provided by the system vendor
We invite representatives of system vendors to contact us for updating and extending the system information,
|Related products and services|
|3rd parties||Arctype: A fast, beautiful database GUI for developers and teams. Download it for free today.|
CData: Connect to Big Data & NoSQL through standard Drivers.
DbVisualizer is equipping database professionals with the tools they need to build, manage and maintain state-of-the-art database technologies. It has sky-high user satisfaction and is the preferred tool for database professionals around the world. Customers include Tesla, Apple, Facebook, Deutsche Bank, NASA, and 25,000 others in 145 countries.
Navicat for MySQL is the ideal solution for MySQL/MariaDB administration and development.
Percona: Database problems? Not on your watch.
Databases run better with Percona.
SQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|DB-Engines blog posts|
MySQL is the DBMS of the Year 2019 MariaDB strengthens its position in the open source RDBMS market The struggle for the hegemony in Oracle's database empire
MariaDB strengthens its position in the open source RDBMS market The struggle for the hegemony in Oracle's database empire
The struggle for the hegemony in Oracle's database empire
|Recent citations in the news|
Review: Google Bigtable scales with ease
provided by Google News
Hardening MySQL for your WordPress site
Canva's Live Database Migration: From MySQL to DynamoDB
What is MySQL?
Seven interesting SQL editor tools for ML developers
mongoDB vs. MySQL
provided by Google News
Big Data Analytics: Teradata Launches Aster Discovery Platform
Teradata puts Aster on Hadoop, adds 'Listener' For IoT
Case study: Siemens reduces train failures with Teradata Aster
An American Dream Story, With A Silicon Valley Twist
provided by Google News
Sr MySQL Database Admin (REMOTE)
Data Scientists – Machine Learning
Consultant - Data Engineer
Analytics & Data Manager
Manager of Operations Analytics – Fleet and Insurance
Share this page