Supercharge your data team

Data Infrastructure Fit For the Enterprise

Performance tuning, monitoring, and management for your lakehouse's most demanding data workloads.

InQuery is a smarter way to data.

Backed by
Y combinator logo Combinator

InQuery Unlocks your Lakehouse Performance

Each layer of your data lakehouse exposes you to setup, integration, configuration, and management challenges.

InQuery wants to help you build your lake house by simplifying your platform’s operational challenges so that your team can focus on deriving value from your data.

Improve your engine's latency, throughput, and availability

InQuery intelligently restores unhealthy clusters and recommends configuration changes so that you can meet reliability, availability, and performance SLAs with ease.

Scale efficiently while reducing costs

InQuery orchestrates cluster deployment, configuration, and management to ensure the performance that analysts need at a price that FinOps loves.

Cluster control and visibility made simple.

InQuery centralizes pod, query, and cluster-level metrics to help you monitor your clusters’ performance in an easy-to-read dashboard and simplifies configuration changes through a friendly UI.

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How It Works

How It Works

InQuery simplifies data lakehouse maintenance, saving your data team time and money.

Today, InQuery focuses on helping you manage and optimize your Trino deployment to achieve better performance and cost efficiency at scale.

InQuery’s Trino orchestrator monitors and learns from your business’s query traffic to optimize your cluster's resource utilization, efficiency, and uptime.

Our Team

Meet Our Founders

We’re a deeply technical team that loves to build delightful software experiences for our customers.

  • Erick Enriquez

    Erick Enriquez

    Cofounder @ InQuery

    Software Engineer on DoorDash's Data Platform
    Founding Software Engineer at Hearth
    B.S. Mathematical and Computational Sciences at Stanford

  • Khalil Miri

    Khalil Miri

    Cofounder @ InQuery

    Quantitative Trader at DRW
    B.S. Computer Science at Stanford

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