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What is Unity Catalog?

Databricks' Unity Catalog emerges as the only all-encompassing and transparent governance framework designed specifically for data and artificial intelligence within the Databricks Data Intelligence Platform. This cutting-edge offering allows organizations to seamlessly oversee both structured and unstructured data across multiple formats, along with machine learning models, notebooks, dashboards, and files on any cloud or platform. Data scientists, analysts, and engineers can securely explore, access, and collaborate on trustworthy data and AI resources in various environments, leveraging AI capabilities to boost productivity and unlock the full advantages of the lakehouse architecture. By implementing this unified and open governance approach, organizations can enhance interoperability and accelerate their data and AI initiatives, while also simplifying the process of meeting regulatory requirements. Moreover, users can swiftly locate and classify both structured and unstructured data, including machine learning models, notebooks, dashboards, and files across all cloud platforms, thereby ensuring a more efficient governance experience. This holistic strategy not only streamlines data management but also promotes a collaborative atmosphere among teams, ultimately driving innovation and enhancing decision-making processes.

What is IBM Cloud Pak for Data?

A significant challenge in enhancing AI-fueled decision-making is the insufficient use of available data. IBM Cloud Pak® for Data offers an integrated platform featuring a data fabric that facilitates easy connection and access to disparate data, regardless of whether it is stored on-premises or in multiple cloud settings, all without the need to move the data. It optimizes data accessibility by automatically detecting and categorizing data to deliver useful knowledge assets to users, while also enforcing automated policies to ensure secure data utilization. To accelerate insight generation, this platform includes a state-of-the-art cloud data warehouse that integrates seamlessly with current systems. Additionally, it enforces universal data privacy and usage policies across all data sets, ensuring ongoing compliance. By utilizing a high-performance cloud data warehouse, businesses can achieve insights more swiftly. The platform also provides data scientists, developers, and analysts with an all-encompassing interface to build, deploy, and manage dependable AI models across various cloud infrastructures. Furthermore, you can enhance your analytical capabilities with Netezza, which is a powerful data warehouse optimized for performance and efficiency. This holistic strategy not only expedites decision-making processes but also encourages innovation across diverse industries, ultimately leading to more effective solutions and improved outcomes.

Media

Media

Integrations Supported

AWS Glue
Apache Spark
Azure SQL Database
Daft
DataNimbus
Databricks Data Intelligence Platform
Datamatics Trade Finance
Google Cloud BigQuery
Google Cloud Platform
IBM Db2 Big SQL
IBM Db2 Event Store
IBM InfoSphere Information Governance Catalog
IBM WebSphere Commerce
LanceDB
LangChain
MySQL
PostgreSQL
PuppyGraph
Snowflake
StarRocks

Integrations Supported

AWS Glue
Apache Spark
Azure SQL Database
Daft
DataNimbus
Databricks Data Intelligence Platform
Datamatics Trade Finance
Google Cloud BigQuery
Google Cloud Platform
IBM Db2 Big SQL
IBM Db2 Event Store
IBM InfoSphere Information Governance Catalog
IBM WebSphere Commerce
LanceDB
LangChain
MySQL
PostgreSQL
PuppyGraph
Snowflake
StarRocks

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$699 per month
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

Databricks

Date Founded

2013

Company Location

United States

Company Website

www.databricks.com/product/unity-catalog

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/cloud-pak-for-data

Categories and Features

Data Governance

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

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 Fabric

Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Machine Learning

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

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

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