Ratings and Reviews 0 Ratings

Total
ease
features
design
support

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

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

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

Write a Review

Alternatives to Consider

  • dbt Reviews & Ratings
    197 Ratings
    Company Website
  • Google Cloud BigQuery Reviews & Ratings
    1,851 Ratings
    Company Website
  • Teradata VantageCloud Reviews & Ratings
    975 Ratings
    Company Website
  • DataHub Reviews & Ratings
    8 Ratings
    Company Website
  • D&B Connect Reviews & Ratings
    181 Ratings
    Company Website
  • Worksection Reviews & Ratings
    150 Ratings
    Company Website
  • OneTimePIM Reviews & Ratings
    73 Ratings
    Company Website
  • Epsilon3 Reviews & Ratings
    262 Ratings
    Company Website
  • WebCatalog Desktop Reviews & Ratings
    1 Rating
    Company Website
  • AnalyticsCreator Reviews & Ratings
    46 Ratings
    Company Website

What is IBM Data Refinery?

The data refinery tool, available via IBM Watson® Studio and Watson™ Knowledge Catalog, significantly accelerates the data preparation process by rapidly transforming vast amounts of raw data into high-quality, usable information ideal for analytics. It empowers users to interactively discover, clean, and modify their data through more than 100 pre-built operations, eliminating the need for any coding skills. Various integrated charts, graphs, and statistical tools provide insights into the quality and distribution of the data. The tool automatically recognizes data types and applies relevant business classifications to ensure both accuracy and applicability. Additionally, it facilitates easy access to and exploration of data from numerous sources, whether hosted on-premises or in the cloud. Data governance policies formulated by experts are seamlessly enforced within the tool, contributing to an enhanced level of compliance. Users can also schedule executions of data flows for reliable outcomes, allowing them to monitor these flows while receiving prompt notifications. Moreover, the solution supports effortless scaling through Apache Spark, which enables transformation recipes to be utilized across entire datasets without the hassle of managing Apache Spark clusters. This powerful feature not only boosts efficiency but also enhances the overall effectiveness of data processing, proving to be an invaluable resource for organizations aiming to elevate their data analytics capabilities. Ultimately, this tool represents a significant advancement in streamlining data workflows for businesses.

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.

Media

Media

Integrations Supported

Apache Spark
Amazon EMR
Amazon SageMaker
Amazon SageMaker Feature Store
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Facebook Ads
Google Analytics
IBM Cloud
IBM Cloud Pak for Watson AIOps
IBM Watson
IBM Watson Discovery
IBM Watson Language Translator
IBM Watson Recruitment
IBM watsonx Assistant
JSON
PySpark
SAP Cloud Platform
Salesforce
Snowflake

Integrations Supported

Apache Spark
Amazon EMR
Amazon SageMaker
Amazon SageMaker Feature Store
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Facebook Ads
Google Analytics
IBM Cloud
IBM Cloud Pak for Watson AIOps
IBM Watson
IBM Watson Discovery
IBM Watson Language Translator
IBM Watson Recruitment
IBM watsonx Assistant
JSON
PySpark
SAP Cloud Platform
Salesforce
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/data-refinery

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

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

Categories and Features

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Categories and Features

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Popular Alternatives

Kylo Reviews & Ratings

Kylo

Teradata

Popular Alternatives