# 10X more data, same 4 seconds: single-query scaling in Redpanda SQL on 1TB

DevFeed: [10X more data, same 4 seconds: single-query scaling in Redpanda SQL on 1TB](<https://devfeed.tech/articles/10x-more-data-same-4-seconds-single-query-scaling-in-redpanda-sql-on-1tb-12771.md>)

Original publisher: [Read original article](<https://www.redpanda.com/blog/single-query-scaling-redpanda-sql>)

Author: Marcin Grzebieluch

Published: 2026-07-29T00:00:00Z

Content type: article

Language: en

Sources: [Redpanda](<https://devfeed.tech/sources/redpanda.md>)

Topics: [SQL](<https://devfeed.tech/topics/sql.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>), [dataset](<https://devfeed.tech/topics/dataset.md>), [Apache Iceberg](<https://devfeed.tech/topics/apache-iceberg.md>), [Streaming](<https://devfeed.tech/topics/streaming.md>)

Tags: [apache](<https://devfeed.tech/tags/apache.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [dataset](<https://devfeed.tech/tags/dataset.md>), [kafka](<https://devfeed.tech/tags/kafka.md>), [sql](<https://devfeed.tech/tags/sql.md>), [streaming](<https://devfeed.tech/tags/streaming.md>)

## AI overview

This article benchmarks how a single analytical query in Redpanda SQL scales as the dataset grows from 100 GB to 1 TB and as cluster resources increase. Redpanda SQL combines live-streaming topics with historical Apache Iceberg tables through bridge queries, and the benchmark uses skewed NYC Taxi trip data to evaluate strong scaling and query feasibility.

## Source excerpt

A benchmark on how a single analytical query behaves in Redpanda SQL as the dataset and the cluster grow.