An Apache-2.0 MCP server that gives frontier models access and grounded context to everything you built

Dashboards and SQL exploration over the lakehouse and Postgres, a Tableau replacement on the platform's SSO

Visual dataflow and ETL on your own cluster, instead of Workato and the iPaaS vendors

SQL analytics over open table formats on the object storage you own

S3-compatible object storage for the data lake, backups, and the lakehouse

The index for the platform, on the Apache-licensed fork of Elasticsearch

A real-time event backbone, without the separate ZooKeeper ensemble to operate

High-availability PostgreSQL on your own storage, without the managed bill

An insight an analyst shares mid-session becomes a reviewed, signed-off change to the catalog rather than vanishing when the conversation ends.

Compose mcp-trino, mcp-datahub, and mcp-s3 as Go libraries behind one endpoint, instead of running three servers that can't see each other.

Cloud-grade data platforms from FOSS on Kubernetes, now that agents run the hard part

Context has always been the hard problem. MCP forces you to solve it.

Building composable MCP servers for object storage

Building composable MCP servers for enterprise data

Enabling Data Management, the Internet of Things, Blockchain, and Machine Learning

Deploy a highly available Kafka cluster on Kubernetes.

Getting started with Elasticsearch

Local workstation-based microservices development

Instant, reliable, send and forget.

Visualize your Elasticsearch data.

Setup a fast, custom production grade Elasticsearch cluster.

A beginners guide.

Automate PDF Report Generation

A data type equivalent to super-charged spreadsheets.

Powerful N-dimensional array objects.

Selects, joins and aliases.

Containers as utility applications