DBMS > Brytlyt vs. Sadas Engine vs. Teradata Aster

System Properties Comparison Brytlyt vs. Sadas Engine vs. Teradata Aster

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.

Description

Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQL

SADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments

Platform for big data analytics on multistructured data sources and types

Primary database model

Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.51
Rank	#276	Overall
	#129	Relational DBMS

Score	0.02
Rank	#384	Overall
	#160	Relational DBMS

Website

www.brytlyt.com

www.sadasengine.com

Technical documentation

www.sadasengine.com/index.php/downloads/documentation-columnar-db

Developer

Brytlyt

SADAS s.r.l.

Teradata

Initial release

2016

2006

2005

Current release

0.9, October 2016

8.0

License

Commercial or Open Source

commercial

free trial version available

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C, C++ and CUDA

C++

Server operating systems

Linux
OS X
Windows

AIX
Linux
Windows

Linux

Data scheme

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

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

specific XML-type available, but no XML query functionality.

yes

in Aster File Store

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

JDBC
ODBC
Proprietary protocol

ADO.NET
JDBC
ODBC
OLE DB

Supported programming languages

.Net
C
C++
Delphi
Java
Perl
Python
Tcl

.Net
C
C#
C++
Groovy
Java
PHP
Python

C
C#
C++
Java
Python
R

Server-side scripts

Stored procedures

user defined functions

in PL/pgSQL

R packages

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

none

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

yes

SQL Map-Reduce Framework

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency or Eventual Consistency depending on configuration

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

managed by 'Learn by Usage'

User concepts

Access control

fine grained access rights according to SQL-standard

Access rights for users, groups and roles 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

Recent citations in the news

Brytlyt becomes NVIDIA Inception Premier Partner
31 January 2023, PR Newswire

GPU Database Market | How the Market Will Witness Substantial ...
7 February 2023, Digital Journal

Brytlyt Wins the TIBCO ISV Partner of the Year Award for ...
23 September 2022, PR Newswire

Brytlyt's Serverless Analytics Saves Businesses 90% of GPU Cost
1 December 2022, Datanami

GPU Database Market in Size 2023 | Technological Trends with ...
17 January 2023, Digital Journal

provided by Google News

Search results
11 January 2023, iTWire

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

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

An American Dream Story, With A Silicon Valley Twist
14 August 2013, Forbes

provided by Google News

Share this page