Overview
ParaQuery is a managed GPU-accelerated Spark and SQL platform founded in 2025 [1]. The company is based in New York City, NY, USA and operates remotely [2], and participated in Y Combinator's Spring 2025 batch [3]. ParaQuery offers fully Spark-compatible infrastructure that is cloud agnostic and vendor lock-in free [5]. According to its Y Combinator listing, the platform delivers double the performance at half the cost compared to alternatives such as Databricks and BigQuery, while enabling large SQL and Spark workloads to run serverlessly without requiring data migrations [5]. The company operates with a team size of one [4].
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. [5]
Y Combinator's directory lists the company location as New York City, NY, USA; Remote. [2]
Growth & traction
Y Combinator lists a team size of 1. [4]
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