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What is erwin Data Marketplace?

The erwin Data Marketplace, part of erwin Data Intelligence by Quest, serves as an intuitive platform for data consumers of all skill levels to discover, select, and obtain curated, high-quality datasets, data products, and AI solutions. This self-service approach enhances the data discovery process while promoting data literacy, ensuring governance, and increasing the overall business value that can be extracted from data. Key features include dynamic filtering tools, automated evaluations of data worth, user-generated feedback through ratings and reviews, and access to additional insights like mind maps and data lineage tracking. Users can easily compare various data assets side-by-side to identify the best fit for their individual needs. Data stewards and owners benefit from improved curation and governance tools, enabling them to create data products, manage relationships, categorize information, assign searchable tags, and oversee governance duties. Moreover, integrated workflows facilitate the processes of data access requests, approvals, and documentation, which are vital for compliance management. Consequently, this platform not only cultivates a collaborative atmosphere for data sharing but also enables organizations to harness their data assets effectively for strategic decision-making. With a commitment to continuous improvement, the marketplace is designed to adapt to the evolving needs of its users.

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.

Media

Media

Integrations Supported

AWS Glue
Amazon Redshift
Apache Kafka
Apache Spark
Azure SQL Database
Azure Synapse Analytics
DataNimbus
DinMo
DuckDB
Google Cloud BigQuery
Hackolade
LanceDB
LlamaIndex
MLflow
Microsoft Fabric
PuppyGraph
Snowflake
StarRocks
Starburst Enterprise
Unstructured

Integrations Supported

AWS Glue
Amazon Redshift
Apache Kafka
Apache Spark
Azure SQL Database
Azure Synapse Analytics
DataNimbus
DinMo
DuckDB
Google Cloud BigQuery
Hackolade
LanceDB
LlamaIndex
MLflow
Microsoft Fabric
PuppyGraph
Snowflake
StarRocks
Starburst Enterprise
Unstructured

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

erwin

Date Founded

2016

Company Location

United States

Company Website

www.erwin.com/products/erwin-data-intelligence/data-marketplace.aspx

Company Facts

Organization Name

Databricks

Date Founded

2013

Company Location

United States

Company Website

www.databricks.com/product/unity-catalog

Categories and Features

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

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