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features
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support

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Description

Evaluate the quality of your data visually and enhance data governance through tailored profiling that aligns with your business needs. While you may possess a vast amount of data, its true worth is unlocked only when business users engage with it to extract valuable insights. With Trillium Discovery, these users can assess data sources effortlessly in three straightforward steps, enabling them to quickly determine their suitability for specific use cases. Moreover, it provides data analysts with rapid access to data across your organization, allowing them to profile it for accuracy and completeness. Trillium Discovery is compatible with a variety of data sources, such as HDFS, Hive, and relational databases, among others. By employing advanced profiling techniques, Trillium Discovery guarantees that your organization attains a thorough and trustworthy evaluation of its enterprise data, facilitating the planning of data-heavy initiatives, ensuring adherence to compliance standards, and empowering you to make well-informed business decisions, ultimately enhancing operational efficiency.

Description

Leverage our cloud-based Data Catalog to create a state-of-the-art workspace for your data teams, enabling them to locate, comprehend, and work collaboratively on your data assets and their applications. By establishing a clear and trustworthy data asset ecosystem at the enterprise level, you can empower your data teams effectively. The setup is straightforward, the interface is user-friendly, and it is perfectly suited for scaling operations. Effortlessly organize and disseminate your team's data knowledge and applications beyond your immediate group. With real-time insights available by connecting Zeenea to your data sources, you can significantly enhance the efficiency of your data teams by minimizing the time spent searching for enterprise assets. Develop a comprehensive library that houses all your data assets and their applications at the enterprise level, utilizing the full capabilities of metadata with just a few clicks. By refining any data discovery process, you ultimately allow your data teams to prioritize what truly matters: ensuring the timely delivery of their data projects. This approach not only streamlines operations but also fosters a culture of collaboration within the organization.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Collibra
Microsoft Excel
Trillium Quality

Integrations

Collibra
Microsoft Excel
Trillium Quality

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Precisely

Founded

1968

Country

United States

Website

www.precisely.com/product/precisely-trillium/trillium-discovery

Vendor Details

Company Name

Zeenea

Founded

2017

Country

France

Website

www.zeenea.com

Product Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Product Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

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

Alternatives

Alternatives

Catalog Reviews

Catalog

Coalesce