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Ratings and Reviews 0 Ratings
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What is Trillium Discovery?
Assess the visual quality of your data and strengthen data governance through customized profiling that caters to your business objectives. While you may have an extensive array of data, its real value is realized when business users interact with it to uncover meaningful insights. With Trillium Discovery, these users can evaluate data sources with ease in three simple steps, allowing them to swiftly ascertain their appropriateness for targeted applications. In addition, it offers data analysts quick access to information throughout your organization, enabling them to assess it for precision and completeness. Trillium Discovery supports various data sources, including HDFS, Hive, and relational databases, among others. By utilizing sophisticated profiling methods, Trillium Discovery ensures your organization achieves a comprehensive and reliable assessment of its enterprise data, which aids in planning data-intensive projects, maintaining compliance with regulations, and equipping you to make informed business choices that ultimately boost operational efficiency. Furthermore, the ability to visualize data quality empowers teams to continuously improve their strategies and drive better outcomes.
What is Datametica?
At Datametica, our cutting-edge solutions play a pivotal role in minimizing risks and lowering costs, time, frustration, and anxiety associated with migrating data warehouses to the cloud. We streamline the transition of your existing data warehouse, data lake, ETL, and enterprise business intelligence systems to your chosen cloud platform through our suite of automated products. Our methodology encompasses the development of a robust migration strategy that incorporates workload discovery, assessment, planning, and cloud optimization. Utilizing our Eagle tool, we deliver valuable insights from the initial discovery and assessment stages of your current data warehouse to the creation of a customized migration strategy, which outlines the data to be transferred, the ideal sequence for migration, and projected timelines and costs. This detailed analysis of workloads and meticulous planning not only mitigates migration risks but also ensures that business operations experience no disruptions during the process. Moreover, our dedication to facilitating a smooth migration empowers organizations to adopt cloud technologies with both confidence and clarity, ultimately positioning them for future growth and innovation. By prioritizing a tailored approach, we ensure that each client's unique needs are met throughout the entire migration journey.
Integrations Supported
Amazon Web Services (AWS)
Collibra
Google Cloud Platform
Hadoop
IBM Netezza Performance Server
Microsoft Azure
Snowflake
Trillium Quality
Integrations Supported
Amazon Web Services (AWS)
Collibra
Google Cloud Platform
Hadoop
IBM Netezza Performance Server
Microsoft Azure
Snowflake
Trillium Quality
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
Precisely
Date Founded
1968
Company Location
United States
Company Website
www.precisely.com/product/precisely-trillium/trillium-discovery
Company Facts
Organization Name
Datametica
Date Founded
2013
Company Location
India
Company Website
www.datametica.com
Categories and Features
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Categories and Features
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
