ParaQuery
ParaQuery is a YC Spring 2025 (P25) company. Based in New York, NY, USA; Remote. Team of 1.
About ParaQuery
Summary
ParaQuery runs large-scale Spark and SQL workloads on GPU-accelerated, fully managed infrastructure, delivering twice the throughput at roughly half the compute cost of platforms like Databricks and BigQuery. It targets data engineering teams spending too much time managing pipelines and too much money on cloud compute. Teams point ParaQuery at their existing storage and run ETL or analytics jobs without migrating data, rewriting logic, or reconfiguring tools.
Business model
Custom pricing with guaranteed rates, offered through risk-free pilot engagements.
Go-to-market
Data teams at companies already running Spark or SQL on major cloud warehouses are the primary buyers; they enter through a white-glove pilot and early-access program rather than self-serve signup.
From the Y Combinator listing
Managed GPU-accelerated Spark + SQL at 2x speed and half the cost
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.
Facts
- B2B / B2B -> Infrastructure
- New York, NY, USA; Remote
- 1
- Active
- Early
Founders (1)
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