Dremio is a Unified Lakehouse Platform that focuses on self-service analytics and artificial intelligence. It is designed to empower data analysts and scientists by providing a comprehensive solution for data exploration and management. Dremio serves a wide range of global enterprises, enabling them to harness the power of their data effectively.
Dremio allows users to autonomously explore, validate, and curate data from various sources through a single, unified interface. This feature enhances productivity by simplifying the data management process.
Dremio supports a variety of data sources, including major relational database management systems (RDBMS) such as PostgreSQL, MySQL, MS SQL, IBM DB2, and Oracle. It also integrates with NoSQL databases like MongoDB and Elasticsearch, as well as file-based data sources and cloud storage systems such as S3, HDFS, and ADLS.
The platform provides a unified view of all datasets connected to it, allowing users to visualize data in real-time during query preparation and execution. Dremio optimizes query pushdown for all sources in their native query language, enabling users to create virtual datasets based on complex queries for analytics and external tools.
Dremio is architected for cloud environments, featuring elastic computing capabilities and dynamic horizontal scaling. Users can store data reflections in distributed storage platforms like S3, HDFS, and ADLS, ensuring flexibility and scalability.
Dremio prioritizes security with support for OAuth2.0 login and automatic user creation. It defines personal spaces for users upon valid OAuth2.0 access and distinguishes between ADMIN and USER roles, ensuring that sensitive admin actions are hidden from unprivileged users.
Dremio offers a REST API (v3) with various endpoints for managing data sources, catalogs, and other functionalities. While some statistics APIs are restricted to system administrators, regular users can access source management APIs if they hold tenant admin privileges.
The platform delivers sub-second analytics performance across all data sources without requiring data movement. Dremio’s transparent query optimization and acceleration provide a powerful end-user experience, resulting in significant total cost of ownership (TCO) savings compared to other leading lakehouse platforms.
Dremio is designed to meet diverse infrastructure needs, offering lakehouse analytics as a managed service in the cloud or as self-managed software on-premises. Its solutions provide flexibility, scalability, and performance at a lower cost, making it suitable for various analytics use cases across industries, including data mesh and Hadoop migration.
Dremio addresses the challenges of data management by providing a unified platform that simplifies data exploration and analytics. By enabling self-service capabilities, it allows users to access and analyze data without relying heavily on IT departments. This autonomy leads to faster decision-making and improved operational efficiency.
Dremio offers a free trial with no time limit, allowing users to explore its features and capabilities firsthand. Interested users can sign up for the free trial on the official Dremio website, making it easy to get started with this powerful data management tool.
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