Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The Quest Trusted Data Management Platform serves as a comprehensive, SaaS-based solution designed to provide reliable, AI-ready data throughout an organization. This platform integrates essential functionalities that span the entire data lifecycle, starting from modeling and cataloging to governance, ensuring data quality, facilitating marketplace access, and generating production-ready data products. With the Data Modeling feature, teams can create and manage conceptual, logical, and physical models effectively, while the Data Catalog acts as a centralized hub for discovering, understanding, classifying, and tracking data assets. Additionally, Data Governance plays a crucial role in managing policies, ensuring regulatory compliance, overseeing stewardship workflows, and implementing role-based controls at every stage of the data lifecycle. The Data Quality tools are vital for identifying, assessing, and rectifying data issues proactively to prevent downstream complications. Moreover, the Data Marketplace empowers users to explore available assets, request access, monitor usage, and engage with data contracts, thereby enhancing collaboration and efficiency in data management. Ultimately, this platform not only streamlines data processes but also elevates the overall value of data within the enterprise.
Description
The Unity Catalog from Databricks stands out as the sole comprehensive and open governance framework tailored for data and artificial intelligence, integrated within the Databricks Data Intelligence Platform. This innovative solution enables organizations to effortlessly manage structured and unstructured data in various formats, in addition to machine learning models, notebooks, dashboards, and files on any cloud or platform. Data scientists, analysts, and engineers can securely navigate, access, and collaborate on reliable data and AI resources across diverse environments, harnessing AI capabilities to enhance efficiency and realize the full potential of the lakehouse architecture. By adopting this cohesive and open governance strategy, organizations can foster interoperability and expedite their data and AI projects, all while making regulatory compliance easier to achieve. Furthermore, users can quickly identify and categorize both structured and unstructured data, including machine learning models, notebooks, dashboards, and files, across all cloud platforms, ensuring a streamlined governance experience. This comprehensive approach not only simplifies data management but also encourages a collaborative culture among teams.
API Access
Has API
No
API Access
Has API
Yes
Integrations
AWS Glue
No
Amazon Redshift
No
Apache Kafka
No
Apache Spark
No
Azure SQL Database
No
Azure Synapse Analytics
No
Databricks
No
DinMo
No
Google Cloud BigQuery
No
Hackolade
No
Integrations
AWS Glue
Yes
Amazon Redshift
Yes
Apache Kafka
Yes
Apache Spark
Yes
Azure SQL Database
Yes
Azure Synapse Analytics
Yes
Databricks
Yes
DinMo
Yes
Google Cloud BigQuery
Yes
Hackolade
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Quest Software
Founded
1987
Country
United States
Website
www.quest.com/data-management-platform
Vendor Details
Company Name
Databricks
Founded
2013
Country
United States
Website
www.databricks.com/product/unity-catalog
Product Features
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No
Product Features
Data Governance
Access Control
No
Data Discovery
No
Data Mapping
No
Data Profiling
No
Deletion Management
No
Email Management
No
Policy Management
No
Process Management
No
Roles Management
No
Storage Management
No