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 Azure Databricks?

Leverage your data to uncover meaningful insights and develop AI solutions with Azure Databricks, a platform that enables you to set up your Apache Spark™ environment in mere minutes, automatically scale resources, and collaborate on projects through an interactive workspace. Supporting a range of programming languages, including Python, Scala, R, Java, and SQL, Azure Databricks also accommodates popular data science frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn, ensuring versatility in your development process. You benefit from access to the most recent versions of Apache Spark, facilitating seamless integration with open-source libraries and tools. The ability to rapidly deploy clusters allows for development within a fully managed Apache Spark environment, leveraging Azure's expansive global infrastructure for enhanced reliability and availability. Clusters are optimized and configured automatically, providing high performance without the need for constant oversight. Features like autoscaling and auto-termination contribute to a lower total cost of ownership (TCO), making it an advantageous option for enterprises aiming to improve operational efficiency. Furthermore, the platform’s collaborative capabilities empower teams to engage simultaneously, driving innovation and speeding up project completion times. As a result, Azure Databricks not only simplifies the process of data analysis but also enhances teamwork and productivity across the board.

Media

Media

Integrations Supported

Ango Hub
Azure Data Lake
Bobsled
Capital One Slingshot
Chalk
DQOps
Dagster
Datafold
EPIC
Evvox
Hackolade
Harbr
Horovod
Indent
Latitude
Microsoft Fabric
Openbridge
Tonic Ephemeral
Union Cloud
definity

Integrations Supported

Ango Hub
Azure Data Lake
Bobsled
Capital One Slingshot
Chalk
DQOps
Dagster
Datafold
EPIC
Evvox
Hackolade
Harbr
Horovod
Indent
Latitude
Microsoft Fabric
Openbridge
Tonic Ephemeral
Union Cloud
definity

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

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/databricks/

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