Real ChatGPT answer · index seedmjNy1xnQDhAcompleteB2B software · data and analytics platformscomparison
Looker dashboard performance is killing our internal reporting because queries take forever to load. How do I fix slow explores and should we look at alternative BI tools instead?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Looker dashboard performance is killing our internal reporting because queries take forever to load. How do I fix slow explores and should we look at alternative BI tools instead?
7 real searches · 1 real-search pass
Looker documentation optimize query performance Explores aggregate awareness persistent derived tables caching dashboard performanceGoogle ↗
OBSERVEDInstruction
Looker documentation performance best practices symmetric aggregates joins SQL generated query optimizationGoogle ↗
OBSERVEDInstruction
Power BI Tableau Sigma ThoughtSpot official pricing architecture semantic layer comparison 2026Google ↗
OBSERVEDComparison
official Tableau data visualization platform semantic layer performance extracts documentationGoogle ↗
OBSERVEDOther / navigational
official Microsoft Power BI DirectQuery Import mode performance optimization documentationGoogle ↗
OBSERVEDInstruction
official Sigma computing cloud analytics warehouse native architecture documentationGoogle ↗
OBSERVEDOther / navigational
official ThoughtSpot search analytics platform cloud data warehouse documentationGoogle ↗
OBSERVEDOther / navigational
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.
ChatGPT real searches (7)
Classes come from the query-classifier (a local Laya model). 7 of 7 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT7 real searches · gpt-6
Looker documentation optimize query performance Explores aggregate awareness persistent derived tables caching dashboard performance Google ↗
Looker documentation performance best practices symmetric aggregates joins SQL generated query optimization Google ↗
Power BI Tableau Sigma ThoughtSpot official pricing architecture semantic layer comparison 2026 Google ↗
official Tableau data visualization platform semantic layer performance extracts documentation Google ↗
official Microsoft Power BI DirectQuery Import mode performance optimization documentation Google ↗
official Sigma computing cloud analytics warehouse native architecture documentation Google ↗
official ThoughtSpot search analytics platform cloud data warehouse documentation Google ↗
- Using the Explore query tracker and Performance panel to monitor query performance | Looker | Google Cloud Documentation · docs.cloud.google.com
- Optimize Looker performance | Google Cloud Documentation · docs.cloud.google.com
- Derived tables in Looker | Google Cloud Documentation · docs.cloud.google.com
- Admin settings - System Activity dashboards | Looker | Google Cloud Documentation · kbaqcemq2vbfjm4ergkm4vmibi.qer011.online
- DirectQuery in Power BI: When to Use, Limitations, Alternatives - Power BI · learn.microsoft.com
- Test Your Data and Use Extracts · help.tableau.com
Semantic map
Every query placed by meaning (EmbeddingGemma 2, 256-d). Shaded regions are topics, nearby points are near-paraphrases, and a circle's size is how often the query came back.
Colour
SimulatedReal search
Hover a query to see its counterpart · zoom with Ctrl/⌘ + scroll, a pinch, double-click or +
Queries
7 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Looker documentation optimize query performance Explores aggregate awareness persistent derived tables caching dashboard performance OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 | |
Looker documentation performance best practices symmetric aggregates joins SQL generated query optimization OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 | |
Power BI Tableau Sigma ThoughtSpot official pricing architecture semantic layer comparison 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 | |
official Tableau data visualization platform semantic layer performance extracts documentation OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
official Microsoft Power BI DirectQuery Import mode performance optimization documentation OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 | |
official Sigma computing cloud analytics warehouse native architecture documentation OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
official ThoughtSpot search analytics platform cloud data warehouse documentation OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |