Real ChatGPT answer · index seedf5Gt3jYN0y0completeB2B software · data and analytics platformscommercial
What is the most cost-effective way to store and query historical parquet files using open table formats without incurring massive cloud egress fees?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What is the most cost-effective way to store and query historical parquet files using open table formats without incurring massive cloud egress fees?
5 real searches · 1 real-search pass
Apache Iceberg documentation metadata manifests partitioning hidden partitioning Parquet open table formatGoogle ↗
OBSERVED
AWS S3 data transfer pricing same region data transfer out internet pricing officialGoogle ↗
OBSERVED
Cloudflare R2 pricing no egress fees official documentationGoogle ↗
OBSERVED
DuckDB query parquet S3 documentation httpfs predicate pushdown projection pushdownGoogle ↗
OBSERVED
Trino Iceberg connector documentation object storage catalogGoogle ↗
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 5 queries…
Searches and sources
ChatGPT5 real searches · gpt-6
Apache Iceberg documentation metadata manifests partitioning hidden partitioning Parquet open table format Google ↗
AWS S3 data transfer pricing same region data transfer out internet pricing official Google ↗
Cloudflare R2 pricing no egress fees official documentation Google ↗
DuckDB query parquet S3 documentation httpfs predicate pushdown projection pushdown Google ↗
Trino Iceberg connector documentation object storage catalog Google ↗
- Iceberg connector · trino.io
- iceberg/format/spec.md at main · apache/iceberg · github.com
- S3 Pricing · aws.amazon.com
- How R2 works · developers.cloudflare.com
- Pricing · developers.cloudflare.com
- Partitioning · iceberg.apache.org
- Reading and Writing Parquet Files · duckdb.ubitools.com
- Apache Iceberg · iceberg.apache.org
- Project Nessie · projectnessie.org
- Apache Polaris · polaris.apache.org
- DuckDB · duckdb.org
- Trino · trino.io
- Cloudflare R2 · developers.cloudflare.com
Queries
5 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Apache Iceberg documentation metadata manifests partitioning hidden partitioning Parquet open table format OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
AWS S3 data transfer pricing same region data transfer out internet pricing official OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Cloudflare R2 pricing no egress fees official documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
DuckDB query parquet S3 documentation httpfs predicate pushdown projection pushdown OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Trino Iceberg connector documentation object storage catalog OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |