The built-in [query editor](https://turbot.com/pipes/docs/using/steampipe/query) in Turbot Pipes provides the fastest way to answer questions about your cloud environments. Powered by [Steampipe](https://turbot.com/pipes/docs/using/steampipe) under the hood, it offers an accessible experience where teams can explore cloud data interactively in the console, leverage shared connections, schedule recurring checks, and save [point-in-time](https://turbot.com/pipes/docs/using/steampipe/snapshots) results to share with colleagues. Our latest update transforms the query experience with enhanced schema navigation, integrated documentation, and access to thousands of query examples. These improvements make finding and running the right queries more intuitive, helping teams get answers faster with less effort. Let's dive into what's new. ## Query explorer The new Query Explorer tab brings together your query history and thousands of pre-built examples from the documentation, making it easier than ever to find and run queries.

Query explorer tab showing collapsed history and examples sections

### Query history The history section gives you access to your recent queries in one place. You can search through past queries to find specific examples, and quickly rerun them with a single click. This history makes it easier to build on your previous work and maintain continuity across query sessions.

Expanded query history with search and rerun capabilities

### Pre-built query examples We've integrated thousands of ready-to-use query examples from the Steampipe Hub directly into Pipes. You can now browse thousands of pre-built SQL queries organized by plugin, search for specific use cases or data points, and select and run examples with a single click. These examples serve as excellent starting points that you can modify to suit your specific needs, significantly reducing the time it takes to get answers from your data.

## Schema explorer improvements The schema explorer has been redesigned to make it easier to navigate and understand your connections and available tables.

Schema explorer showing aggregated connections view

### Simplified connection view For organizations with many connections, we've added the ability to hide or show aggregated connections, significantly simplifying the connections list for large environments. This reduces complexity by allowing you to collapse per-connection schemas into their aggregated views, giving you a cleaner interface to work with.

Simplified connection view with aggregated connections

### Embedded documentation at your fingertips The schema explorer now integrates documentation directly from the Steampipe Hub. Hover over your tables to see table descriptions and discover related query examples, giving you instant context about what data is available and how to use it:

Table hover showing documentation and related query examples

Expand your tables to view the columns and their descriptions. Each column includes detailed information about its purpose, data type, and usage.

Expanded table showing columns with descriptions

By integrating documentation directly into the interface, the query experience becomes more intuitive and self-contained, minimizing the need to switch between Pipes and external documentation. ### Enhanced search capabilities Finding the right connections, schemas, or columns is now much easier with our new search functionality. You can filter connections and schemas to quickly locate what you need, search for specific columns across all your connections, and find relevant data points instantly, even in complex environments. This search capability significantly reduces the time spent navigating through large schema hierarchies.

Schema explorer search and column descriptions

## Developers tab The new Developers tab in Pipes makes provides you with all the necessary connection and configuration information to connect to your Pipes workspace via a database connection string, the Steampipe CLI, or the Postgres CLI.

## Assess your cloud data through conversations The [Steampipe MCP server](https://github.com/turbot/steampipe-mcp) transforms how you interact with cloud infrastructure data. Connect it to your Pipes workspace and use natural language to extract insights without writing a single SQL query. Ask questions like "Which S3 buckets need security improvements?", "What EC2 instances aren't tagged correctly?" or "What Turbot Pipes workspaces are available?" and get structured answers immediately. Works seamlessly with AI assistants like [Claude](https://claude.ai/) or [Cursor](https://cursor.com/), turning complex infrastructure questions into simple conversations. See a full demonstration in the [Steampipe MCP Server blog post](https://steampipe.io/blog/steampipe-mcp).

## See it in action

## Bringing it all together The new query experience in Turbot Pipes brings significant improvements to how you interact with your cloud data. You'll benefit from simplified navigation with the aggregated connections view, making large environments more manageable. Embedded documentation integrated directly into the interface helps you understand your data model without context switching. Powerful search capabilities across schemas, connections, and columns help you find what you need quickly, while easy access to query history and thousands of pre-built examples accelerates your workflow. These enhancements create a streamlined experience for answering questions about your cloud, making Pipes an even more powerful tool for teams looking to query, monitor, and understand their cloud data. Ready to get started? Sign in to your Pipes workspace and give it a try, or [sign up](https://pipes.turbot.com) for an always free Developer account. And [let us know](https://turbot.com/community/join) how it goes!

Simplify your query experience with integrated examples