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Description

Amazon Redshift is a modern cloud data warehouse platform developed by AWS to help organizations run large-scale analytics and AI-powered workloads with exceptional speed, scalability, and cost efficiency. The solution enables businesses to unify data across Amazon S3 data lakes, Redshift data warehouses, and federated third-party data sources using a secure and open lakehouse architecture. Redshift supports SQL-based analytics and provides organizations with the ability to process massive volumes of data while maintaining strong price-performance advantages compared to traditional cloud data warehouse platforms. The platform features AWS Graviton-powered RG instances that deliver faster query performance and lower operational costs while supporting open data formats such as Apache Iceberg and Apache Parquet. Redshift Serverless allows users to run analytics without provisioning or managing infrastructure, making it easier for teams to scale resources dynamically based on workload demands. The solution also includes zero-ETL integrations that enable near real-time analytics by connecting operational databases, streaming systems, and enterprise applications without requiring complex data engineering workflows. Amazon Redshift integrates with Amazon SageMaker for unified analytics and machine learning capabilities while also supporting Amazon Bedrock for generative AI applications and structured knowledge management. Organizations across industries use Redshift to improve forecasting, optimize business intelligence, accelerate machine learning operations, and monetize data assets more effectively.

Description

biGENIUS automates all phases of analytic data management solutions (e.g. data warehouses, data lakes and data marts. thereby allowing you to turn your data into a business as quickly and cost-effectively as possible. Your data analytics solutions will save you time, effort and money. Easy integration of new ideas and data into data analytics solutions. The metadata-driven approach allows you to take advantage of new technologies. Advancement of digitalization requires traditional data warehouses (DWH) as well as business intelligence systems to harness an increasing amount of data. Analytical data management is essential to support business decision making today. It must integrate new data sources, support new technologies, and deliver effective solutions faster than ever, ideally with limited resources.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amundsen Yes 
Anomalo Yes 
Codd AI Yes 
Composable DataOps Platform Yes 
Datazoom Yes 
Emgage Yes 
IBM Cognos Analytics Yes 
Informatica Intelligent Cloud Services Yes 
Latitude Yes 
Logstash Yes 
Meltano Yes 
Pecan Yes 
Qlik Staige Yes 
Qualytics Yes 
SAS Studio Yes 
SDF Yes 
SocialSign.in Yes 
Tonic Yes 
UnifyApps Yes 
Zepl Yes 

Integrations

Amundsen No 
Anomalo No 
Codd AI No 
Composable DataOps Platform No 
Datazoom No 
Emgage No 
IBM Cognos Analytics No 
Informatica Intelligent Cloud Services No 
Latitude No 
Logstash No 
Meltano No 
Pecan No 
Qlik Staige No 
Qualytics No 
SAS Studio No 
SDF No 
SocialSign.in No 
Tonic No 
UnifyApps No 
Zepl No 

Pricing Details

$0.543 per hour
Free Trial Yes 
Free Version No 

Pricing Details

833CHF/seat/month
Essential, Professional, and Enterprise subscription plans available

Non-Commercial license: free for personal use
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/redshift/

Vendor Details

Company Name

biGENIUS AG

Founded

2011

Country

Switzerland

Website

www.bigenius-x.com

Product Features

Big Data

Collaboration No 
Data Blends No 
Data Cleansing No 
Data Mining No 
Data Visualization No 
Data Warehousing No 
High Volume Processing No 
No-Code Sandbox No 
Predictive Analytics No 
Templates No 

Data Warehouse

Ad hoc Query No 
Analytics No 
Data Integration No 
Data Migration No 
Data Quality Control No 
ETL - Extract / Transfer / Load No 
In-Memory Processing No 
Match & Merge No 

Product Features

Big Data

Collaboration Yes 
Data Blends No 
Data Cleansing Yes 
Data Mining No 
Data Visualization No 
Data Warehousing Yes 
High Volume Processing No 
No-Code Sandbox Yes 
Predictive Analytics No 
Templates Yes 

Data Warehouse

Ad hoc Query No 
Analytics No 
Data Integration No 
Data Migration Yes 
Data Quality Control Yes 
ETL - Extract / Transfer / Load No 
In-Memory Processing No 
Match & Merge No 

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