Users utilize Cyera for discovering, classifying, and securing sensitive data across cloud environments. It identifies data risks, ensures compliance, and provides visibility into data storage. Its advanced analytics and automated workflows help mitigate threats while enforcing data protection policies. Users value its scalability, integration ease, and insightful reporting capabilities. However, they report delays in processing data, occasional compatibility issues, a steep learning curve, and slow customer support response times.
Compared to the competitors, they are very reasonable.
Compared to the competitors, they are very reasonable.
PK Protect Endpoint Manager is used for data protection and security management. Users highlight its effectiveness in encrypting sensitive data, ensuring compliance, and providing robust policy enforcement. They praise ease of deployment, centralized management, and reliable performance. However, they note needs for better integration, enhanced customer support, and improvements in system stability and documentation.
Our cloud-based platform finds, automates, governs, and consolidates distributed data no matter where it lives. We ensure secure access for modern data demands of analytics, machine learning, and collaboration without complexity, period.
Modern lakehouse built on top of Apache Iceberg and Apache Spark. Includes: Serverless lakehouse, Serverless Spark Jobs, SQL editor, Advanced data catalog and built-in BI (or connect 3rd party BI e.g. Tableau, Looker).
