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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

Link and retrieve information from your data sources, create dashboards to display insights, and distribute them across your organization. Experience the robust capabilities of a SQL client combined with the collaborative benefits offered by a cloud-based platform. Effortlessly illustrate your findings in multiple formats, including charts, cohorts, pivot tables, boxplots, maps, counters, sankey diagrams, sunbursts, and word clouds. Communicate your data narrative with coworkers, different teams, or outside collaborators. Utilize Redash through its API to enhance its capabilities according to your needs. Benefit from single sign-on, access management, and numerous other features designed to support enterprise workflows effectively. With these tools, you can foster a data-driven culture within your organization.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Acryl Data Yes 
Blotout Yes 
DataHub Yes 
Hevo Yes 
Kleene Yes 
Lyftrondata Yes 
Meltano Yes 
OpenMetadata Yes 
Satori Yes 
Scispot Yes 
Secoda Yes 
Stackreaction Yes 
Amundsen Yes 
Astera Dataprep Yes 
DbGate Yes 
Equals Yes 
Keebo Yes 
Sifflet Yes 
Superblocks Yes 
hotglue Yes 

Integrations

Acryl Data Yes 
Blotout Yes 
DataHub Yes 
Hevo Yes 
Kleene Yes 
Lyftrondata Yes 
Meltano Yes 
OpenMetadata Yes 
Satori Yes 
Scispot Yes 
Secoda Yes 
Stackreaction Yes 
Amundsen No 
Astera Dataprep No 
DbGate No 
Equals No 
Keebo No 
Sifflet No 
Superblocks No 
hotglue No 

Pricing Details

$0.543 per hour
Free Trial Yes 
Free Version No 

Pricing Details

$29 per month
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 No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

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

Customer Support

Business Hours Yes 
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 No 
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

Redash

Country

Israel

Website

redash.io

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

Business Intelligence

Ad Hoc Reports Yes 
Benchmarking No 
Budgeting & Forecasting No 
Dashboard Yes 
Data Analysis Yes 
Key Performance Indicators Yes 
Natural Language Generation (NLG) No 
Performance Metrics Yes 
Predictive Analytics No 
Profitability Analysis No 
Strategic Planning No 
Trend / Problem Indicators No 
Visual Analytics Yes 

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