ParaQuery

ParaQuery

Managed GPU-accelerated Spark + SQL at 2x speed and half the cost

New York City, NY
1 employees
Developer Tools
Seed · $500K

About ParaQuery

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 details

Team Size1
LocationNew York City, NY
IndustryDeveloper Tools

Funding

Total raised

$500K

Last stage

Seed

Investors

Y Combinator

Founders

WW

Win Wang

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.

LinkedIn

What happens next.

No applications, no recruiter spam. Just the intro.

01

Confirm the fit

A few questions to make sure this role is the right shape for you. Two minutes.

02

I pitch you to the company

I write the intro, send it to the founder, and handle the back-and-forth.

03

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.