Trino
Ranked 3 of 5 analytical databases by recommenders
Free open-source SQL engine that treats many data sources as tables, with a mature set of extensions; one critic says it beats Spark only above 100GiB datasets.
Free open-source SQL engine that treats many data sources as tables, with a mature set of extensions; one critic says it beats Spark only above 100GiB datasets.
12 people gave an opinion
- recommend it
- 9
- criticize it
- 3
- approval share
- 75%
Recommended in 9 of 13 months
- November 2025: recommended
- December 2025: not recommended
- January 2026: recommended
- February 2026: recommended
- March 2026: recommended
- April 2026: recommended
- May 2026: recommended
- June 2026: not recommended
- July 2026: recommended
- August 2026: recommended
- September 2026: recommended
- October 2026: not recommended
- November 2026: not recommended (month in progress)
Why it doesn’t carry the badge
- 9 people recommend itNeeds 10 or more, not met.
- 3 recommenders for every criticNeeds 2 to 1 or better, met.
- Recommended in 9 of 13 monthsNeeds 4 or more, met.
The same three rules apply to every product, and the badge can’t be bought. How the badge works
What people say about it
The reasons people give, with the number of comments that give each one. Open a reason to read what they said.
Why people recommend it
Each mark is one comment
Queries many data sources as tables
“the ability with tools like trino or datafusion to basically turn "everything" into a table”
Comment from 27 Feb 2026 in “We gave terabytes of CI logs to an LLM” “let you deep query on a JSON field”
Comment from 16 May 2026 in “A SQL-Inspired Query Language Designed for Event Sourcing” Views and pipelines for consuming data
“add some views in Trino to consume the data”
Comment from 16 Apr 2026 in “DuckLake v1.0” “go find yourself a trino spark pipeline”
Comment from 21 Mar 2026 in “We give every user SQL access to a shared ClickHouse cluster”
Other analytical databases people recommend
The four most recommended other analytical databases, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.
| Product | Recommend | Criticize | Approval | Months | Owned | Badge |
|---|---|---|---|---|---|---|
| DuckDB | 390 | 53 | 88% | 13 | 1 yr9 owners | Approved |
| ClickHouse | 124 | 32 | 79% | 12 | 5 yrs9 owners | Approved |
| TrinoThis page | 9 | 3 | 75% | 9 | — | — |
| Exasol | 8 | 1 | 89% | 3 | 10 yrs3 owners | — |
| chDB | 6 | 0 | 100% | 6 | — | — |
What people said
10 of the 13 comments that mention it, newest first. Each links to the original comment.
“extremely mature and well understood with lots of extensions”
“Only once the datasets reach the 100GiB to TiB range is trino/spark faster.”
“some enterprise open source was slop before AI even it seems”
“we switched from Druid+postgres+trino to just one big clickhouse node”
“let you deep query on a JSON field”
“add some views in Trino to consume the data”
“go find yourself a trino spark pipeline”
“the ability with tools like trino or datafusion to basically turn "everything" into a table”
“nothing is better than just giving it access to Trino”
“Even Trino runs circles around Spark”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.