Select Star vs. ThinkData Works

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Select Star
Score 9.0 out of 10
N/A
Select Star is a fully automated data discovery platform that helps users find, understand & use company data. Column and table-level relationships are displayed with data lineage, catalog, and automated documentation. Select Star aims to help companies to create a system of record for all the data across their company and teams.N/A
ThinkData Works
Score 0.0 out of 10
Enterprise companies (1,001+ employees)
Data is the backbone of effective decision-making. However, varied sources, inconsistent formats, and evolving compliance landscape make it challenging to manage. ThinkData Works provides a catalog platform for discovering, managing, and sharing data from both internal and external sources. The solution helps users to enhance data with enrichment solutions, protect assets with data security, and share data while retaining visibility and control. ThinkData's goal with the platform is to…N/A
Pricing
Select StarThinkData Works
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Select StarThinkData Works
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
User Testimonials
Select StarThinkData Works
ScreenShots

ThinkData Works Screenshots

Screenshot of The Data Catalog displays all the datasets which your organization is connected to.Screenshot of The activity dashboard offers deep usage insights into the data that your organization has access to, the data that is useful, and the people that are interacting with it.Screenshot of The data table view is made for simplified manipulation accessible to data professionals and business users.Screenshot of Templated metadata can be used to ensure consistency across your organization. Discover and organize your data.Screenshot of Custom alerts can be configured to notify stakeholders when an update changes the underlying data in an unexpected way.