Unlocking the Power of AI for Seamless Data Analysis
Harness the power of generative AI to revolutionize your data analysis workflows. With our advanced AI-driven features, we empower business users to query data with text, enhance data exploration, and accelerate insights.
Top Generative AI Features
Text-to-SQL Experience
Text to SQL capabilities in Dremio’s user interface (UI) allow SQL developers to write queries using natural language, making it easier and more intuitive to interact with the data. You can use text to SQL to query individual data sets, data views, and create data joins as simply as you’d type a question.
Generative AI for Data Context and Discovery
AI-powered, auto-generated Wiki descriptions and data labeling for tables and views ensure your data has comprehensive business context for analytics, while reducing time and effort. AI-powered Wiki descriptions can also be generated and applied to unique data sources and folders to provide essential data context.
Coming Soon: Vector Database Capabilities
Dremio integrates vector database capabilities into its lakehouse, specifically within Iceberg. With this feature, users can add a column of type vector to store embeddings for various data elements. For example, if you have a table of Amazon reviews, you can store embeddings that encode the "meaning" of each review alongside its other attributes. Dremio provides indexes and SQL functions, including fast similarity search using cosine similarity, enabling easy retrieval of similar or related reviews based on their meanings. This eliminates the need for a separate vector database platform, streamlining the data analytics process.
Coming Soon: Autonomous AI‑Driven Semantic Layer
Dremio leverages AI-driven capabilities to enhance the semantic layer. By automatically learning the user's data, such as identifying zip codes and providing dataset descriptions, Dremio eliminates the need for manual catalog population. Additionally, it learns the workload and creates Reflections to accelerate query performance. This AI-powered semantic layer improves efficiency and productivity for users.