Optimize Databricks SQL
Details
- External ID
- 45747742
- Source
- HN
- Company
- —
- Product
- —
- Website domain
- —
- Launched
- Oct. 29, 2025
- Cohort
- —
- Upvotes
- 6
- Upvotes percentile
- 0.3018867924528302
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:25 p.m.
- Updated at
- Sept. 7, 2026, 9:25 p.m.
Description
I launched my startup's Snowflake optimization product here about two years ago, and we've just released our second product: a Databricks SQL optimizer.The optimizations are basically kubernetes for data warehousing: we take over autoscaling and cluster selection to increase utilization without impacting latency. The scheduler is backed by ML models that predict runtime and capacity, which means we can run machines hotter than the providers can and thereby cut costs.More info here: https://espresso.ai/post/launching-our-databricks-sql-optimi...
Enrichment
- Theme
- database infrastructure and developer tools
- Vertical
- Horizontal
- Function
- Analytics & BI
- Audience
- B2B
- AI stance
- AI feature
- Project type
- Commercial product
- Normalized one-liner
- sql query optimization for databricks
- Manually corrected
- False
Could you build this?
No Dynamic query autoscaling, cluster selection, and performance optimization for Databricks SQL clusters require deep distributed database systems architecture and enterprise infra access.
What it would actually take: A production version requires intercepting or monitoring query queues via Databricks APIs/internal telemetry, predicting workload execution profiles, and automatically provisioning/right-sizing warehouse compute clusters. The hardest aspects are real-time query workload forecasting, avoiding cluster thrashing, and safely managing enterprise cloud IAM and billing across multi-tenant environments. This requires veteran data platform infrastructure engineering and deep proprietary knowledge of Spark/Databricks query execution engines.
Discussion
No comments on this launch.
Competitors
Other products that read as similar to this one — 59 launches clear the similarity bar, closest 8 shown.
Attention rank: #47 of 60 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Looks like the first mover among its competitors.
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- PostgreSQL performance and cost across 23 EC2 instance types · hn · 2026-07-07 · 97 upvotes · similarity 0.37
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a analytics & bi tool for Legal yet.