Best Data Classification Software for Databricks Data Intelligence Platform
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Compare the Top Data Classification Software that integrates with Databricks Data Intelligence Platform as of July 2025
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This a list of Data Classification software that integrates with Databricks Data Intelligence Platform. Use the filters on the left to add additional filters for products that have integrations with Databricks Data Intelligence Platform. View the products that work with Databricks Data Intelligence Platform in the table below.
What is Data Classification Software for Databricks Data Intelligence Platform?
Data classification software is designed to help businesses and organizations organize digital information. It is often used to classify large amounts of data into various categories or labels in order to make the information easier to search for and manage. The software usually works by employing machine-learning algorithms to automatically analyze a dataset, determine meaningful patterns within it, and place the data into predefined categories. These categories can then be organized more efficiently, enabling improved searching capabilities and streamlined workflows. Compare and read user reviews of the best Data Classification software for Databricks Data Intelligence Platform currently available using the table below. This list is updated regularly.
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Adaptive
Adaptive
Adaptive is a data security platform designed to prevent sensitive data exposure across all human and non-human entities. It offers a secure control plane to protect and access data, featuring an agentless architecture that requires zero network reconfiguration and can be deployed in the cloud or on-premises. The platform enables organizations to share privileged access to data sources without sharing actual credentials, enhancing security posture. It supports just-in-time access to various data sources, including databases, cloud infrastructure resources, data warehouses, and web services. Adaptive also facilitates non-human data access by connecting third-party tools or ETL pipelines through a central interface without exposing data source credentials. To minimize data exposure, the platform provides data masking and tokenization for non-privileged users without altering access workflows. Comprehensive audibility is achieved through identity-based audit trails across all resources.
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