Data infrastructure

ParaQuery

Website
Founded 2023Origin source ↗Checked 2026-09-15

Overview

ParaQuery is a fully-managed GPU-accelerated Spark solution providing double the performance at half the cost compared to solutions like Databricks and BigQuery. It is fully Spark-compatible, cloud agnostic, and has seamless integrations everywhere, all without vendor lock-in. ParaQuery makes it trivial to run large SQL and Spark workloads efficiently and serverlessly, without any data migrations.

Company description As recorded 2026-11-08

Founders & team

Previously Hypermorphic

Company history As recorded 2026-11-08

Win Wang

Founder/CEO

Focused on efficiency, effectiveness, and (user) experience. Previously a tech lead @ Twitter, building massively-parallel distributed build systems. Now building a cheaper, faster big data platform by using the right hardware for job. Fully-managed, GPU-accelerated, petabyte-scale at double the speed and half the cost.

Founder profile As recorded 2026-09-15
1team members reported
Source-reported As recorded 2026-09-15

Founded 2023 · Source

News & product activity

Sources & observations

Hacker News · Y Combinator

Profile depthenriched profile
Website observationwebsite reachable
Last website check2026-11-11
Location · source statedNew York City, NY, USA; Remote
Pricing evidenceNo pricing page confirmed
Maturity: Not assessed · 3 of 6 areas documented

Source-based assessment · automated evidence rules

The retained text does not establish product availability or customer use.

Maturity is an evidence-based assessment, not a success rating. It may understate the current stage where evidence is limited. Coverage records documented areas, not a complete or independently audited company history.

Stage definitions
independent websitesource corroborationreachable websitedescriptive evidenceclassified market and modelsourced peoplesourced founding yeardated product or funding activity