What is HyperLake?

HyperLake is an open lakehouse infrastructure deployed inside your own cloud environment — designed to serve both AI agents and human users with secure, governed access to data at scale. Rather than forcing organizations to move data outside their perimeter, HyperLake deploys a full data and analytics stack within the customer's VPC, private cloud, or on-premises infrastructure. Built on open standards like Apache Iceberg, Trino, and Kafka, it eliminates vendor lock-in and compute markups while providing fine-grained governance, auditability, and AI-ready capabilities.

Who it's for

• Enterprise data teams that need to deploy governed, sovereign data infrastructure without moving sensitive data outside their cloud boundary
• AI/ML engineering groups preparing for a world where AI agents become primary consumers of infrastructure — querying data, calling tools, and triggering workflows autonomously
• Platform engineering organizations that want to manage multiple agentic infrastructure stacks — HyperLake-native, cloud-native, or open-source — from a single command center

Key features

Distributed SQL query engine

HyperLake uses Trino for distributed query execution across your data lake, enabling fast, interactive analytics on petabyte-scale datasets without moving data to a separate warehouse.

Apache Iceberg table format

Iceberg provides reliable, performant table management with schema evolution, partition evolution, time-travel queries, and ACID transactions — all running on your own object storage.

AI agent-ready infrastructure

The platform includes vector search, agent APIs, and MCP protocol support, making it straightforward for AI agents to discover, query, and act on governed data without manual intervention.

Full data sovereignty and governance

HyperLake deploys entirely inside your cloud account, with RBAC, audit logging, and data contracts ensuring every human and agent interaction is tracked and controlled.

What stands out

HyperLake is built for a world where AI agents become primary users of infrastructure — not just an afterthought.

Most enterprise infrastructure was designed for dashboards, scheduled pipelines, and human-operated applications. HyperLake flips that assumption, providing a command center purpose-built to deploy, manage, secure, and govern agentic infrastructure. The platform doesn't just bolt AI capabilities onto existing data stacks — it rethinks the operating layer so that agents can query data, call tools, trigger workflows, and generate artifacts with the same governance and auditability as human users.

Worth checking out if…

Your organization is preparing for production AI agent workloads and needs infrastructure that keeps data sovereign, eliminates compute markups, and provides end-to-end governance across human and agent interactions. HyperLake is especially relevant if you want to avoid vendor lock-in by using open standards (Apache Iceberg, Trino, Kafka) and deploy across AWS, GCP, Azure, OVH, private cloud, or on-premises environments.