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
    251 Ratings
    Company Website
  • Plauti Reviews & Ratings
    122 Ratings
    Company Website
  • Teradata VantageCloud Reviews & Ratings
    1,107 Ratings
    Company Website
  • Google Cloud BigQuery Reviews & Ratings
    2,018 Ratings
    Company Website
  • DataHub Reviews & Ratings
    10 Ratings
    Company Website
  • D&B Connect Reviews & Ratings
    188 Ratings
    Company Website
  • OneTimePIM Reviews & Ratings
    88 Ratings
    Company Website
  • Google Cloud Platform Reviews & Ratings
    60,933 Ratings
    Company Website
  • AnalyticsCreator Reviews & Ratings
    46 Ratings
    Company Website
  • WebCatalog Desktop Reviews & Ratings
    1 Rating
    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 EMR?

Amazon EMR is recognized as a top-tier cloud-based big data platform that efficiently manages vast datasets by utilizing a range of open-source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. This innovative platform allows users to perform Petabyte-scale analytics at a fraction of the cost associated with traditional on-premises solutions, delivering outcomes that can be over three times faster than standard Apache Spark tasks. For short-term projects, it offers the convenience of quickly starting and stopping clusters, ensuring you only pay for the time you actually use. In addition, for longer-term workloads, EMR supports the creation of highly available clusters that can automatically scale to meet changing demands. Moreover, if you already have established open-source tools like Apache Spark and Apache Hive, you can implement EMR on AWS Outposts to ensure seamless integration. Users also have access to various open-source machine learning frameworks, including Apache Spark MLlib, TensorFlow, and Apache MXNet, catering to their data analysis requirements. The platform's capabilities are further enhanced by seamless integration with Amazon SageMaker Studio, which facilitates comprehensive model training, analysis, and reporting. Consequently, Amazon EMR emerges as a flexible and economically viable choice for executing large-scale data operations in the cloud, making it an ideal option for organizations looking to optimize their data management strategies.

Media

Media

Integrations Supported

Apache Spark
Amazon SageMaker Data Wrangler
Amazon SageMaker Studio
CopperEgg
Data Virtuality
IBM Cloud Pak for Watson AIOps
IBM Watson Discovery
IBM Watson Recruitment
IBM watsonx Assistant
Immuta
Okera
Pelanor
Pepperdata
Saagie
TrustLogix
Unravel
Veza
Zepl

Integrations Supported

Apache Spark
Amazon SageMaker Data Wrangler
Amazon SageMaker Studio
CopperEgg
Data Virtuality
IBM Cloud Pak for Watson AIOps
IBM Watson Discovery
IBM Watson Recruitment
IBM watsonx Assistant
Immuta
Okera
Pelanor
Pepperdata
Saagie
TrustLogix
Unravel
Veza
Zepl

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/emr/

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

Big Data

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

Popular Alternatives

Kylo Reviews & Ratings

Kylo

Teradata

Popular Alternatives

Amazon EMR Reviews & Ratings

Amazon EMR

Amazon
MLlib Reviews & Ratings

MLlib

Apache Software Foundation
E-MapReduce Reviews & Ratings

E-MapReduce

Alibaba