DBMS > Atos Standard Common Repository vs. Heroic vs. Teradata Aster vs. Transbase

System Properties Comparison Atos Standard Common Repository vs. Heroic vs. Teradata Aster vs. Transbase

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Heroic  Xexclude from comparison	Teradata Aster  Xexclude from comparison	Transbase  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.		Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch	Platform for big data analytics on multistructured data sources and types	A resource-optimized, high-performance, universally applicable RDBMS
Primary database model	Document store Key-value store	Time Series DBMS	Relational DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.46 Rank #265   Overall #22   Time Series DBMS		Score 0.17 Rank #334   Overall #148   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	github.com/­spotify/­heroic		www.transaction.de/­en/­products/­transbase.html
Technical documentation		spotify.github.io/­heroic		www.transaction.de/­en/­products/­transbase/­features.html
Developer	Atos Convergence Creators	Spotify	Teradata	Transaction Software GmbH
Initial release	2016	2014	2005	1987
Current release	1703			Transbase 8.3, 2022
License Commercial or Open Source	commercial	Open Source Apache 2.0	commercial	commercial free development license
Cloud-based only Only available as a cloud service	no	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Java		C and C++
Server operating systems	Linux		Linux	FreeBSD Linux macOS Solaris Windows
Data scheme	Schema and schema-less with LDAP views	schema-free	Flexible Schema (defined schema, partial schema, schema free) defined schema within the relational store; partial schema or schema free in the Aster File Store	yes
Typing predefined data types such as float or date	optional	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.	yes	no	yes in Aster File Store	no
Secondary indexes	yes	yes via Elasticsearch	yes	yes
SQL Support of SQL	no	no	yes	yes
APIs and other access methods	LDAP	HQL (Heroic Query Language, a JSON-based language) HTTP API	ADO.NET JDBC ODBC OLE DB	ADO.NET JDBC ODBC Proprietary native API
Supported programming languages	All languages with LDAP bindings		C C# C++ Java Python R	C C# C++ Java JavaScript Kotlin Objective-C PHP Python
Server-side scripts Stored procedures	no	no	R packages	yes
Triggers	yes	no	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes	yes Dimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods		no	yes SQL Map-Reduce Framework	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Eventual Consistency Immediate Consistency	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency
Foreign keys Referential integrity	no	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	ACID	yes
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no	no	no
User concepts Access control	LDAP bind authentication		fine grained access rights according to SQL-standard	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, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	Atos Standard Common Repository	Heroic	Teradata Aster	Transbase
Recent citations in the news		Review: Google Bigtable scales with ease 7 September 2016, InfoWorld provided by Google News	Teradata Enhances Big Data Analytics Platform 31 May 2024, Data Center Knowledge Teradata Provides the Simplest Way to Bring the Science of Data to the Art of Business 22 September 2011, PR Newswire Teradata's Aster shows how the flowers of fraud bloom 23 April 2015, The Register Case study: Siemens reduces train failures with Teradata Aster 12 September 2016, RCR Wireless News Teradata unveils improved QueryGrid connectors 21 April 2015, CIO provided by Google News

Share this page