Autonomous Reflections: Intelligent Automation for Accelerated AI and Analytics

Is Query Performance Slowing Down Your AI and Analytics Initiatives?

Slow analytics and AI workloads frustrate users and delay critical insights, draining productivity. If waiting for queries to load feels like the norm, you're not alone. But what if query performance could be accelerated—automatically, without requiring any specialized expertise or manual intervention?

Enter Autonomous Reflections. Dremio's latest innovation delivers intelligent performance optimization that works seamlessly behind the scenes, automatically creating and maintaining optimized data structures based on your actual query patterns.

The Challenge: Data Bottlenecks in Your AI and Analytics Workflows

Data teams today spend countless hours manually tuning datasets and queries for performance. This creates bottlenecks for AI and analytics initiatives, as data engineers become overwhelmed with maintenance tasks rather than focusing on innovation. The result is delayed insights, increased costs, and missed opportunities for AI-driven transformation.

How Reflections Power Performance

Reflections in Dremio act as intelligent caches that precompute and materialize expensive query fragments. Think of them as pre-calculated answers to the most computationally intensive parts of your queries—ready to be used whenever needed.

How Reflections accelerate query performance by leveraging precomputed data

Dremio offers two types of Reflections designed to optimize different query patterns:

• Raw Reflections: These reorganize your data for faster access—similar to organizing books on a shelf for quicker retrieval. They also precompute and materialize views that can be reused across multiple queries.
• Aggregation Reflections: These precompute common calculations (such as SUM, COUNT, AVG) that your teams frequently need—like having summary statistics always ready instead of calculating them each time.

The magic happens when users query data as usual, while Dremio transparently rewrites query plans behind the scenes, leveraging the most relevant Reflections to optimize execution. This eliminates redundant computations and dramatically accelerates performance.

What Makes Autonomous Reflections Revolutionary

Traditional performance optimization requires data engineers to:

1. Analyze query patterns
2. Manually design and create optimizations
3. Continuously maintain these structures as data and query patterns change

Autonomous Reflections eliminate this entire workflow. The system:

• Automatically identifies query patterns across your organization
• Creates and optimizes the most beneficial Reflections without human intervention
• Continuously adapts as query patterns and data evolve
• Ensures data freshness by staying in sync with Iceberg tables and Parquet metadata

Who Benefits Most from Autonomous Reflections?

• Data Engineers: Reclaim time previously spent on manual performance tuning
• Data Analysts: Experience consistently fast query response times without technical dependencies
• AI Developers: Access data for model training and inference with minimal latency
• Business Users: Make decisions based on near-real-time insights from self-service dashboards

This shift empowers teams throughout your organization to create and define views and data products without depending on central teams for query optimization—delivering faster business decisions, accelerated AI initiatives, and reduced compute costs.

Real Results: Dremio's Internal Data Lakehouse Achieves 10x Faster Performance

We implemented Autonomous Reflections in our own internal Data Lakehouse—which processes hundreds of thousands of queries monthly across terabytes of data—and the results were transformative:

• 80% of workloads autonomously accelerated without any manual tuning
• Query response times for the 90th percentile dropped from 13+ seconds to just 1 second
• Average CPU execution time per query improved by 30x, meaning queries that once took minutes now complete in seconds

Autonomous Reflections were enabled in Dremio's Internal Data Lake, showing dramatic performance improvements for a sample user who runs 30+ reports daily

The efficiency gains allowed us to scale down our consumption engine, freeing up resources for a dedicated Reflections refresh engine that automatically shuts down when idle—further optimizing costs without sacrificing performance.

Key Benefits of Autonomous Reflections

• Zero Manual Tuning: Eliminate time-consuming performance optimization tasks
• Consistently Fast Queries: Deliver sub-second response times for analytics and AI workloads
• Always Fresh Data: Automatic synchronization ensures queries run on current data
• Reduced Compute Costs: Lower resource utilization through intelligent optimization
• Focus on Innovation: Free your data team to concentrate on creating value, not maintenance

Ready to Accelerate Your AI and Analytics?

Autonomous Reflections are here to eliminate bottlenecks, reduce query latency, and drive faster insights for your teams. To learn more about Autonomous Reflections, dive deeper into Autonomous Reflections through our Spring 2025 Product Release Virtual event on April 29th with a deep dive into Autonomous Reflections in the Autonomous Performance with Dremio on May 6th.

Ready to get started? Try Dremio for free today or contact our team to schedule a personalized demo.