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AWS Lambda, in Basedash.

AWS Lambda is a serverless computing platform that runs code in response to events and automatically manages the compute resources required by that code. Connect AWS Lambda to Basedash to ask questions, build dashboards, and automate reporting — all powered by AI.

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Chat / AWS Lambda growth
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Show AWS Lambda weekly trend over the last 12 weeks, with the prior period as a comparison.

Pulled the last 12 weeks from aws_lambda. Up +38% vs. the prior period — growth accelerating in the last four weeks.

AWS Lambda weekly

94 +38% (42)
AWS Lambda
68 +13% (38)
Prior period
12 weeks
0 25 50 75 100 W1W3W5W7W9W11 94 68
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AI chat

Ask anything about your AWS Lambda data

Imagine ChatGPT or Claude, but with full context of your AWS Lambda schema and how your team uses it. Basedash answers in plain language, backed by real queries.

  • Deploy frequency and lead time from AWS Lambda this month.
  • Top contributors in AWS Lambda over the last quarter.
  • Open incidents in AWS Lambda broken down by severity.
  • PR cycle time trend from AWS Lambda for the last 12 weeks.

Plain-language queries

Ask follow-ups in natural language. Basedash translates them into SQL against your AWS Lambda data.

Knows your business

Basedash learns your KPIs, schemas, and the way your team talks about AWS Lambda.

Agentic by default

Runs multiple queries, resolves errors, and iterates until the answer is right — no babysitting.

Basedash Warehouse

Pair AWS Lambda with 750+ other apps

Bring everything into one managed warehouse and see how Sales, Finance, Product, and operations actually connect.

  • Zero-config warehouse

    Connect AWS Lambda and Basedash sets up a managed warehouse, syncs the data, and is ready to query.

  • Production-safe

    Run heavy analytics queries without ever touching your live application database.

  • Portable on ClickHouse

    Built on standard SQL so your data and queries stay portable, today and tomorrow.

See it on your data

We'll walk through how Basedash works with AWS Lambda and answer questions for your exact use case.