Real ChatGPT answer · index seedC92SP6xDwYgcompleteB2B software · data and analytics platformscommercial

We want to set up Apache Iceberg on our data lake, but which modern query engines work best with it for small analytics teams?

ChatGPTgpt-66 queries11/1/2026
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Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
We want to set up Apache Iceberg on our data lake, but which modern query engines work best with it for small analytics teams?
6 real searches · 1 real-search pass
Apache Iceberg query engine support Trino DuckDB StarRocks Spark Dremio official documentation 2026Google ↗
OBSERVEDOther / navigational
Trino Iceberg connector documentation catalog REST supportGoogle ↗
OBSERVEDOther / navigational
DuckDB Iceberg extension documentation read write supportGoogle ↗
OBSERVEDInstruction
StarRocks Apache Iceberg catalog documentationGoogle ↗
OBSERVEDOther / navigational
Dremio Apache Iceberg support documentationGoogle ↗
OBSERVEDOther / navigational
Apache Spark Iceberg integration documentationGoogle ↗
OBSERVEDInstruction

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 (6)
Short factOther / navigational67%ComparisonConsequenceReasonDefinitionInstruction33%Yes / no

Classes come from the query-classifier (a local Laya model). 6 of 6 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.

Searches and sources

ChatGPT6 real searches · gpt-6
Apache Iceberg query engine support Trino DuckDB StarRocks Spark Dremio official documentation 2026 Google ↗
Trino Iceberg connector documentation catalog REST support Google ↗
DuckDB Iceberg extension documentation read write support Google ↗
StarRocks Apache Iceberg catalog documentation Google ↗
Dremio Apache Iceberg support documentation Google ↗
Apache Spark Iceberg integration documentation Google ↗

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
Hover a query to see its counterpart · zoom with Ctrl/⌘ + scroll, a pinch, double-click or +

Queries

6 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
Apache Iceberg query engine support Trino DuckDB StarRocks Spark Dremio official documentation 2026
OBSERVED
Google ↗
AI Mode ↗
—Other / navigational——1x
of 1
Trino Iceberg connector documentation catalog REST support
OBSERVED
Google ↗
AI Mode ↗
—Other / navigational——1x
of 1
DuckDB Iceberg extension documentation read write support
OBSERVED
Google ↗
AI Mode ↗
—Instruction——1x
of 1
StarRocks Apache Iceberg catalog documentation
OBSERVED
Google ↗
AI Mode ↗
—Other / navigational——1x
of 1
Dremio Apache Iceberg support documentation
OBSERVED
Google ↗
AI Mode ↗
—Other / navigational——1x
of 1
Apache Spark Iceberg integration documentation
OBSERVED
Google ↗
AI Mode ↗
—Instruction——1x
of 1