Rays

Explore. Visualize. Understand.

Three tools to work with your data. Prototype and debug queries in Playgrounds, monitor time-based data sources with Time Series, or get AI-powered insights in Explorations.
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Three tools, one workspace

Each tool is designed for a different workflow. Use them independently or together.

Playgrounds

Prototype queries, visualize results, and export data

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Time Series

Monitor time-based data sources and track trends over time

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Explorations

AI agent with full data context for insights and analysis

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[01]

Playgrounds

Prototype queries, debug pipelines, and explore data interactively. Write SQL, visualize results, and export data in JSON or CSV.
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Interactive query prototyping

Build and iterate on queries in a multi-node editor. Chain SQL nodes together to prototype complex pipelines before deploying.

AI-assisted SQL

Generate and refine queries with CMD+K. AI understands your schema and suggests fixes, helping you debug pipelines faster.

Visualize and export

See query results as tables. Export data in JSON or CSV to use in external tools or share with your team.

[02]

Time Series

Monitor endpoint performance and track trends over time. Visualize any time-based data source, including service data sources, without writing SQL.
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Visual monitoring

Track endpoint latency, error rates, and request volumes over time. Visualize any data source, including service data sources like pipe_stats_rt, without writing SQL.

Granularity & zoom

Granularity auto-adjusts to your time range. Drag-to-zoom into any period for a closer look, syncing automatically with the time selector.

Track trends over time

Compare metrics side by side with table and chart views. Monitor storage consumption, request patterns, and resource usage across your workspace.

[03]

Explorations

An AI agent with full context of your data. Reference sources with @syntax, customize behavior with workspace rules, and export reasoning nodes to Playgrounds.
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AI agent with full context

Use @syntax to reference specific data sources and add workspace rules to fine-tune how the agent responds. The more context it has, the more accurate its answers.

Insights and diagnostics

Get improvement suggestions, identify performance bottlenecks, and surface data quality issues. Focus on intelligent analysis, not visualization.

Export to Playgrounds

Reasoning nodes created during analysis can be exported to Playgrounds. Continue refining queries in a full SQL environment.

The tools you need

Built for data teams

Capabilities shared across all three tools.

AI-powered

  • CMD+K query generation in Playgrounds
  • Context-aware AI agent in Explorations
  • Schema-aware suggestions across tools

Workspace collaboration

  • Private or shared visibility
  • Reusable saved configurations
  • Shared data sources

Developer-first

  • Parameterized queries
  • ClickHouse SQL dialect
  • SQL autocomplete

Real-time data

  • Live monitoring of streaming data
  • Query cancellation for long-running queries
  • Auto-save across all tools

Monitoring & visualization

  • Adaptive granularity in Time Series charts
  • Drag-to-zoom into any time range
  • Result tables in Playgrounds

Export & share

  • Export data as JSON or CSV from Playgrounds
  • Export reasoning nodes to Playgrounds from Explorations
  • Share results with your team

FAQs

What is Playgrounds used for?

Playgrounds is for prototyping and debugging queries. Write SQL in a multi-node editor, chain nodes together to build complex pipelines, and use AI (CMD+K) to generate or refine SQL. You can inspect results as tables and export data in JSON or CSV.

What is Time Series used for?

Time Series is for monitoring endpoint performance and tracking trends over time. Visualize data sources — including service data sources like pipe_stats_rt, endpoint_errors, and datasources_storage — without writing SQL. Granularity adjusts automatically to your selected time range, and you can drag to zoom into specific periods to investigate incidents or observe patterns.

What is Explorations used for?

Explorations is an AI agent with full context of your data. Use @syntax to reference specific data sources and add workspace rules to customize how the agent responds. It identifies performance bottlenecks, surfaces data quality issues, and provides actionable insights. Reasoning nodes from the analysis can be exported to Playgrounds for further refinement.

How do these three tools relate to each other?

Each tool serves a distinct purpose in the data workflow. Use Explorations to get AI-powered insights and diagnostics, then export reasoning nodes to Playgrounds to refine queries in a full SQL environment. Use Time Series to monitor endpoint performance and track trends over time. The three tools complement each other: Explorations for analysis, Playgrounds for prototyping, and Time Series for monitoring.

Can I share my work with teammates?

Yes. You can keep your Playgrounds, Time Series or Explorations private, or share them with anyone in your workspace. Playgrounds and Time Series configurations persist in your workspace so team members can access and build on each other's work.

What data sources can I explore?

All tools work with any data source in your Tinybird workspace, including data sources, pipes, and materialized views. You can also explore service data sources like pipe_stats_rt, pipe_stats, endpoint_errors, datasources_storage, datasources_ops_log, and llm_usage — queries against service data sources are free. In Explorations, use @syntax to reference specific data sources to focus the AI on the right context.

Do I need to know SQL?

Not necessarily. Explorations lets you query data using natural language. Time Series generates SQL from your configuration choices. However, Playgrounds is designed for SQL users who want full control. Knowing SQL helps you get the most out of each tool.

How does AI assistance work in Playgrounds vs Explorations?

In Playgrounds, press CMD+K to invoke AI for SQL generation. It understands your schema and suggests fixes, helping you debug pipelines faster. In Explorations, an AI agent with full context of your data analyzes questions, identifies issues, and provides insights. You can export reasoning nodes from Explorations to Playgrounds to continue refining queries in a full SQL environment.

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