Apache Ranger is a framework to enable, monitor and manage comprehensive data security across your data platform. It is an open-source authorization solution that provides access control and audit capabilities for big data platforms through centralized security administration.
Its open data governance model and plugin architecture enabled the extension of access control to other projects beyond the Hadoop ecosystem, and the platform is widely accepted among “major cloud vendors like AWS, Azure, GCP.”
With the help of the Apache Ranger console, admins can easily manage centralized, fine-grained access control policies, including file, folder, database, table and column-level policies across all clusters. These policies can be defined at user level, role level or group level.
Use this model selection framework to choose the most appropriate model while balancing your performance requirements with cost, risks and deployment needs.
Register for the ebook on AI data stores
Apache Ranger uses plugin architecture to enable other services to integrate seamlessly with authorization controls.
Apache Ranger also supports centralized auditing of user access and administrative actions for comprehensive visibility of sensitive data usage through a centralized audit store that tracks all the access requests in real time and supports multiple audit stores including Elasticsearch and Solr.
Many companies are today looking to leverage the Open Data Lake Analytics stack, which is the open and flexible alternative to the data warehouse. In this stack, you have flexibility when it comes to your storage, compute, and security to get SQL on your data lake. With Ahana Cloud, the stack includes AWS S3, Presto, and in this case our Apache Ranger integration.
Ahana-managed Presto clusters can take advantage of Ranger Integration to enforce access control policies defined in Apache.
Ahana Cloud for Presto enables you to get up and running with the Open Data Lake Analytics stack in 30 minutes. It’s SaaS for Presto and takes away all the complexities of tuning, management and more.
Explore our new studio for foundation models, generative AI and machine learning.
Accelerate responsible, transparent and explainable AI workflows.
Run always-on, analytics workloads across the enterprise, now with watsonx.data integration.
Learn how watsonx.data can help your organization successfully scale analytics and AI workloads for all your data, hear from industry experts on the benefit of an open lakehouse approach, and see watsonx.data live in action.
Combine the high performance and usability of a data warehouse with the flexibility and scalability of data lakes to address the challenges of today’s complex data landscape and scale AI.
Learn how organizations can scale AI workloads with a data store built on an open data lakehouse architecture that is part of the watsonx AI and data platform.
Learn about the fast and flexible open-source query engine available with watsonx.data.