Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Google Cloud BigQuery Reviews & Ratings
    4.5 out of 5 stars 2,027 Ratings
    Company Website for Google Cloud BigQuery
  • TIMi Reviews & Ratings
    4.9 out of 5 stars 68 Ratings
    Company Website for TIMi
  • Sage Intacct Reviews & Ratings
    4.3 out of 5 stars 8,791 Ratings
    Company Website for Sage Intacct
  • FinOpsly Reviews & Ratings
    4.7 out of 5 stars 3 Ratings
    Company Website for FinOpsly
  • Flowlens Reviews & Ratings
    4.8 out of 5 stars 40 Ratings
    Company Website for Flowlens
  • BackUp Maker Reviews & Ratings
    5.0 out of 5 stars 20 Ratings
    Company Website for BackUp Maker
  • Denodo Reviews & Ratings
    4.6 out of 5 stars 388 Ratings
    Company Website for Denodo
  • Plauti Reviews & Ratings
    4.4 out of 5 stars 123 Ratings
    Company Website for Plauti
  • SCIKIQ Reviews & Ratings
    4.6 out of 5 stars 14 Ratings
    Company Website for SCIKIQ
  • Zahara Reviews & Ratings
    4.4 out of 5 stars 34 Ratings
    Company Website for Zahara

What is Amazon SageMaker Data Wrangler?

Amazon SageMaker Data Wrangler dramatically reduces the time necessary for data collection and preparation for machine learning, transforming a multi-week process into mere minutes. By employing SageMaker Data Wrangler, users can simplify the data preparation and feature engineering stages, efficiently managing every component of the workflow—ranging from selecting, cleaning, exploring, visualizing, to processing large datasets—all within a cohesive visual interface. With the ability to query desired data from a wide variety of sources using SQL, rapid data importation becomes possible. After this, the Data Quality and Insights report can be utilized to automatically evaluate the integrity of your data, identifying any anomalies like duplicate entries and potential target leakage problems. Additionally, SageMaker Data Wrangler provides over 300 pre-built data transformations, facilitating swift modifications without requiring any coding skills. Upon completion of data preparation, users can scale their workflows to manage entire datasets through SageMaker's data processing capabilities, which ultimately supports the training, tuning, and deployment of machine learning models. This all-encompassing tool not only boosts productivity but also enables users to concentrate on effectively constructing and enhancing their models. As a result, the overall machine learning workflow becomes smoother and more efficient, paving the way for better outcomes in data-driven projects.

What is Amazon Redshift?

Amazon Redshift is a high-performance cloud data warehouse platform from AWS designed to power modern analytics, business intelligence, and agentic AI workloads across enterprise environments. The platform enables organizations to unify and analyze structured and unstructured data from Amazon Redshift warehouses, Amazon S3 data lakes, and third-party or federated data sources through an integrated lakehouse architecture within Amazon SageMaker. Redshift delivers strong scalability and industry-leading price-performance, helping businesses process large-scale analytics workloads while optimizing infrastructure costs and operational efficiency. AWS Graviton-powered Redshift RG instances significantly improve throughput and query performance while reducing per-vCPU costs and supporting native processing of open data formats such as Apache Iceberg and Apache Parquet. The platform also offers Redshift Serverless, which allows organizations to quickly run and scale analytics without provisioning, configuring, or managing infrastructure resources manually. Zero-ETL integrations simplify data movement by connecting streaming services, operational databases, and enterprise applications directly into analytics workflows for near real-time insights without the need for complex pipelines. Amazon Redshift integrates with Amazon SageMaker to support SQL analytics, machine learning workflows, and unified access to enterprise data across hybrid analytics environments. The solution also integrates with Amazon Bedrock, enabling organizations to use Redshift as a structured knowledge base that enhances the accuracy and contextual relevance of generative AI applications. Businesses can use Amazon Redshift for a variety of use cases including financial forecasting, demand planning, business intelligence optimization, machine learning acceleration, and data monetization strategies.

Media

Media

Integrations Supported

Amazon S3
Amazon SageMaker
Amazon SageMaker Feature Store
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Databricks

Integrations Supported

Amazon S3
Amazon SageMaker
Amazon SageMaker Feature Store
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Databricks
Appen
Astera Data Warehouse Builder
BI Book
Catalog
Datafold
Great Expectations
HubiFi
Latitude
Okera
Patchworks
Quest
Simon AI
WhereScape
data.world

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$0.543 per hour
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/sagemaker/data-wrangler/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/redshift/

Categories and Features

Data Preparation

Not specified

Machine Learning

Not specified

Categories and Features

Agentic AI

Not specified

Big Data

Not specified

Columnar Databases

Not specified

Data Warehouse

Not specified

OLAP Databases

Not specified

SQL Databases

Not specified

Popular Alternatives

Popular Alternatives

Google Cloud BigQuery Reviews & Ratings

Google Cloud BigQuery

Google
4.5 out of 5 stars
Snowflake Reviews & Ratings

Snowflake

4.8 out of 5 stars
Teradata VantageCloud Reviews & Ratings

Teradata VantageCloud

Teradata
5.0 out of 5 stars
Vertica Reviews & Ratings

Vertica

Rocket Software