Real ChatGPT answer · index seed0dvvty9QfnwcompleteB2B software · data and analytics platformscommercial

Which data virtualization or analytics platform provides the best out of the box performance tuning for complex SQL queries joining billions of rows across disparate data lakes?

ChatGPTgpt-63 queries10/31/2026
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Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
Which data virtualization or analytics platform provides the best out of the box performance tuning for complex SQL queries joining billions of rows across disparate data lakes?
3 real searches · 1 real-search pass
2026 data lakehouse query engines federated SQL performance automatic tuning Dremio Reflections Starburst cost based optimizer dynamic filtering DenodoGoogle ↗
OBSERVED
Dremio Reflections automatic query acceleration documentation joins performance data lakesGoogle ↗
OBSERVED
Starburst query optimization dynamic filtering cost based optimizer documentation data lakesGoogle ↗
OBSERVED

Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.

Query classes

Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.

Classifying 3 queries…

Searches and sources

ChatGPT3 real searches · gpt-6
2026 data lakehouse query engines federated SQL performance automatic tuning Dremio Reflections Starburst cost based optimizer dynamic filtering Denodo Google ↗
Dremio Reflections automatic query acceleration documentation joins performance data lakes Google ↗
Starburst query optimization dynamic filtering cost based optimizer documentation data lakes Google ↗
  1. Accelerate Queries · docs.dremio.com
  2. Autonomous Reflections · docs.dremio.com
  3. Intelligent Query Engine · dremio.com
  4. Starburst · docs.starburst.io
  5. Cost-based optimizations · docs.starburst.io
  6. Dynamic filtering · docs.starburst.io
  7. Denodo Lakehouse Accelerator · denodo.com
  8. Cost-based optimizer · docs.databricks.com
  9. Optimization recommendations on Azure Databricks - Azure Databricks · learn.microsoft.com

Queries

3 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
2026 data lakehouse query engines federated SQL performance automatic tuning Dremio Reflections Starburst cost based optimizer dynamic filtering Denodo
OBSERVED
Google ↗
AI Mode ↗
————1x
of 1
Dremio Reflections automatic query acceleration documentation joins performance data lakes
OBSERVED
Google ↗
AI Mode ↗
————1x
of 1
Starburst query optimization dynamic filtering cost based optimizer documentation data lakes
OBSERVED
Google ↗
AI Mode ↗
————1x
of 1