The editors at Solutions Review have compiled this list of the best data catalogs for analytics to consider during vendor evaluation. These data catalog technologies are integrated into each provider’s broader BI or data platform.
The editors at Solutions Review have developed this resource to assist buyers in search of the best data catalogs for analytics to fit the needs of their organization. Choosing the right vendor and solution can be a complicated process — one that requires in-depth research and often comes down to more than just the solution and its technical capabilities. To make your search a little easier, we’ve profiled the best data catalogs for analytics all in one place. We’ve also included platform and product line names and introductory software tutorials straight from the source so you can see each solution in action.
Note: The best data catalogs for analytics are listed in alphabetical order.
The Best Data Catalogs for Analytics
Tool: Alteryx Connect
Related products: Alteryx Designer, Alteryx Server, Alteryx Promote
Description: Alteryx data cataloging is available through Alteryx Connect. The product centralizes business terms and definitions, metrics, and information assets for discoverability and collaboration. Connect lets users discover the types of information their data contains, where the information comes from, who is using it, and how it is used. The tool features powerful search to find and reuse information in analytic apps, workflows, macros, visualizations, dashboards, and data science models as well.
Tool: Qlik Catalog (Qlik Data Catalyst)
Related products: QlikView, Qlik Sense, Qlik Data Integration Platform
Description: Qlik Catalog builds a secure, enterprise catalog of all the data your organization has available for analytics, regardless of its physical location. The product features automated data preparation and metadata tools to streamline the transformation of raw data as well. The tool includes a self-service data marketplace that lets users “shop” for the data they need and export, share or automatically publish data sets to Qlik Sense and other analytic tools and applications.
Tool: Einstein Analytics Data Catalog
Related products: Einstein Analytics Platform, Salesforce Einstein Discovery, Salesforce Einstein Data Insights
Description: The Salesforce Einstein Analytics platform is available in a number of flavors based on role, industry and included features. The product’s automated data discovery capabilities enable users to answer questions based on transparent and understandable AI models. Users can also tailor analytics to their use case and enhance insights with precise recommendations and specific guidance. The integrated data catalog provides understanding as to how Einstein Analytics assets like datasets, lens, dashboards and stories are interconnected.
Tool: Tableau Catalog
Related products: Tableau Desktop, Tableau Server, Tableau Online, Tableau Prep, Tableau Data Management
Description: Tableau Catalog provides a complete picture of the data and how it is connected to the analytics in the Tableau environment. The product automatically ingests all of these assets into one central list so users can quickly see all the tables, files and databases in one place. Metadata and context is made available when data is connected so users can ensure they are using the correct data for analysis. Metadata and REST APIs bring the metadata to Tableau for analysis.
Tool: ZenOptics Analytics Catalog
Description: ZenOptics offers a solution for self-service BI governance that utilizes existing investments in BI and data analytics. The tool enables secure, end-user access in a portal-like environment which facilitates access to reports and dashboards built with different tools. ZenOptics requires no special training and surfaces reports and dashboards in their native user experience. Users can also take advantage of proprietary machine learning to recommend or suggest reports based on the consumption patterns of other users.
- 5 Common Data Analytics Interview Questions & Answers to Know - February 6, 2023
- 5 Common Data Science Interview Questions & Answers to Know - February 6, 2023
- What Product Managers Need to Know About Embedded Analytics - February 3, 2023