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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 Astro?

Astronomer serves as the key player behind Apache Airflow, which has become the industry standard for defining data workflows through code. With over 4 million downloads each month, Airflow is actively utilized by countless teams across the globe. To enhance the accessibility of reliable data, Astronomer offers Astro, an advanced data orchestration platform built on Airflow. This platform empowers data engineers, scientists, and analysts to create, execute, and monitor pipelines as code. Established in 2018, Astronomer operates as a fully remote company with locations in Cincinnati, New York, San Francisco, and San Jose. With a customer base spanning over 35 countries, Astronomer is a trusted ally for organizations seeking effective data orchestration solutions. Furthermore, the company's commitment to innovation ensures that it stays at the forefront of the data management landscape.

Media

Media

Integrations Supported

Apache Spark
Alibaba Cloud
Apache Kylin
Apache Pinot
Databricks Data Intelligence Platform
Datakin
Docker
Elasticsearch
Fivetran
GitHub
Google Cloud Platform
Great Expectations
HashiCorp Vault
IBM Cloud
IBM Watson Language Translator
Microsoft Azure
SQL Server
Salesforce
Segment
SendGrid

Integrations Supported

Apache Spark
Alibaba Cloud
Apache Kylin
Apache Pinot
Databricks Data Intelligence Platform
Datakin
Docker
Elasticsearch
Fivetran
GitHub
Google Cloud Platform
Great Expectations
HashiCorp Vault
IBM Cloud
IBM Watson Language Translator
Microsoft Azure
SQL Server
Salesforce
Segment
SendGrid

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

Astronomer

Date Founded

2018

Company Location

United States

Company Website

www.astronomer.io

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

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Data Preparation

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

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

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