ParaQuery
Managed GPU-accelerated Spark + SQL at 2x speed and half the cost
Based based in New York, NY, USA; Remote, ParaQuery works in b2b.
Profile
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.
ParaQuery is positioned in b2b, a segment that rewards a clear, focused offering.
The business is associated with New York, NY, USA; Remote.
Its current recorded stage is Spring 2025.
Recorded headcount: 1 employees.
Directory analysis
ParaQuery offers a fully‑managed, GPU‑accelerated Spark platform that delivers roughly twice the performance at about half the cost of competitors like Databricks and BigQuery. The service is cloud‑agnostic, fully Spark‑compatible, and designed to run large SQL and Spark workloads serverlessly without requiring data migrations. It targets enterprises that need efficient, scalable analytics without vendor lock‑in.
Positioning: ParaQuery positions itself as a cost‑effective, high‑performance alternative for Spark‑based analytics, appealing to data‑driven organizations looking to reduce infrastructure spend. Its serverless model and cloud‑agnostic design make it attractive for companies seeking flexibility across multiple cloud providers.
Note: ParaQuery is a serverless GPU‑accelerated Spark platform that eliminates vendor lock‑in.
Auto-generated directory analysis from public data · updated 10 Oct 2026. Informational only, not investment advice.
| Sector | B2B |
|---|---|
| Headquarters | New York, NY, USA; Remote |
| Country | USA; Remote |
| Employees | 1 |
| Stage | Spring 2025 |
Website: paraquery.com
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