Autonomous Reflections
10-100x faster queries for every AI and BI workload
A Paradigm Shift
for Performance Management
Autonomous Reflections are intelligently created and updated materializations based on query patterns that act like a persistent, always-fresh cache—automatically optimizing performance while ensuring queries run on live, up-to-date data with no SQL changes.
Performance in the AI Era
Challenge
In the BI era, maintaining sub-second queries across dashboards was difficult and typically resulted in the development of multi-step precomputation pipelines and extracts—manageable but inconvenient.
However, in the AI era, this approach fundamentally breaks down. AI requires live data across unified semantic models at a scale and complexity that manual optimization cannot address. With both humans and AI agents demanding sub-second access to enterprise data, intelligent automation has become an essential requirement rather than just a nice-to-have feature.
Solution
Enter Autonomous Reflections.
Autonomous Reflections analyze query patterns, determines what materializations will optimize performance, and then creates, updates, and deletes these materializations to maintain an optimized environment. SQL queries are automatically rewritten at runtime to take advantage of the materializations, so queries don’t have to be rewritten.
benefits
No Manual Performance Tuning.
Sub-Second Queries, Every Time.
Autonomous Reflections eliminates time-consuming Zero Manual performance tuning, delivers sub-second queries for all AI and BI workloads, and significantly reduces compute costs.
- Zero Manual Tuning: Free your data team to focus on innovation instead of maintenance
- Consistent High Performance: Sub-second response times for both AI and analytics workloads
- Cost Efficiency: Lower resource utilization with intelligent optimizations and automatic scaling
CAPABILITIES
How Autonomous Reflections Work
Reflections are easy to configure and monitor through a centralized interface that identifies incremental data changes, updates only affected views, and provides clear insights into usage patterns.
- Smart Query Acceleration: Automatically identifies optimization opportunities and rewrites query plans
- Two Reflection Types: Raw reflections for data reorganization and Aggregation reflections for precomputed metrics
- Zero-Config Operation: Creates and maintains optimal reflections without manual intervention
- Adaptive Learning: Continuously evolves as query patterns and data change
- Real-Time Sync: Ensures data freshness with Iceberg tables and Parquet metadata
- Intelligent Monitoring: Track which queries leverage Reflections, monitor refresh frequency, and measure performance gains
PROOF POINTs
Proven Results:
Real-Life Deployment
Dremio implemented Autonomous Reflections in its own internal Data Lakehouse—which processes hundreds of thousands of AI and analytics 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 timez per query improved by 30x, meaning queries that once took minutes now complete in seconds
Why Customers Choose Us
1000s of companies across all industries trust Dremio
10x
in query performance, from 60 to 4-6 seconds
60HRS
of work eliminated per project
90%
Reduction in setup time.
99.97%
uptime, minimizing downtime to just 3 hours in 10 months
Scaled
from handling zero to 1.6 million queries a day
Reduced costs
by avoiding proprietary data access fees and optimizing resource usage
Milli-second
latency on queries on 45+ million record tables
Unified access
to data through a single integrated platform
Real-time
low-latency dashboard refreshes with Reflections
6X
growth in physical data sets validated and managed
140%
increase in virtual data sets identified and validated
Reduced
Databricks cost while scaling data projects to users.
Increased
independence for BI team by eliminating data bottlenecks
Optimized
Snowflake performance while maintaining ~9,400 Dremio jobs/day
Provided easy
and fast access to 70+ data sources for 1,200 daily BI users
Learn More About Dremio
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