On January 31, 2023, Dremio, the leading simple and open data lakehouse, and Privacera, the only open-standards-based data governance and security solution provider, announced their latest integration, which expands advanced data governance and security capabilities for customers building modern data applications on top of data lakehouses.
As data lakehouses become more popular, it is becoming increasingly essential to manage and organize safe data access while also adhering to complicated regulatory regulations across all data assets. The new integration now allows Joint clients to expedite secure and governed analytics by decreasing manual processes while automating stringent compliance for contemporary data cooperation, which is especially important in highly regulated industries like financial services.
The enhanced integration proffers joint clients with the following capabilities:
Ensuring scalability and performance
By pushing down policies written in Privacera into Dremio, the native integration allows quick query performance and scalability.
Enhanced data security and governance capabilities
The connector enables enterprises to implement attribute-based access control (ABAC), discovery for tagging and data classification, data encryption, row-level filtering and masking, canned reports and centralized auditing.
Applying Consistent policy administration across Dremio and the majority of hybrid and multi-cloud data sources
Customers can now establish and enforce data access policies and classifications once and then deploy them anywhere.
Founded in 2015, Dremio is a simple, open data lakehouse that offers self-service analytics, data warehouse capability, and data lake flexibility across all data. It boosts agility with a novel data-as-code approach that enables Git-style data experimentation, version control, and governance. In addition, it removes data silos by allowing searches across data lakes, databases, and data warehouses, as well as easing ingestion into the lakehouse. Dremio is employed by hundreds of enterprises, including three of the Fortune 500, to offer mission-critical BI on the data lake. The company is the inventor of Apache Arrow and is on a quest to redefine SQL for data lakes and meet clients where they are on their cloud journey.
Founded in 2016, Privacera is the first company to offer a SaaS-based data governance and security solution that unifies privacy and compliance across various cloud services such as Azure, AWS, Databricks, GCP, Starburst and Snowflake. It assists businesses in making efficient and responsible use of data by guiding them through their data journey. Privacera, founded by the creators of Apache Ranger™ and Apache Atlas™, is often referred to as "Apache Ranger in the Cloud." Fortune 500 customers in the insurance, finance, life sciences, media, retail, and consumer industries, as well as government agencies, use the Privacera platform to mask sensitive data, automate sensitive data discovery, and manage high-fidelity policies at petabyte scale on-premises and in the cloud.