Db2 for LUW weekly
94 +38% (42)
Db2 for LUW 68 +13% (38)
Prior period
All data sources
12 weeks
Databases · Warehouse sync 
Db2 for LUW, in Basedash.
Db2 for Linux, UNIX, and Windows (LUW) is a relational database created by IBM. Connect Db2 for LUW to Basedash to ask questions, build dashboards, and automate reporting — all powered by AI.
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Chat / Db2 for LUW growth
Connected
Show Db2 for LUW weekly trend over the last 12 weeks, with the prior period as a comparison.
Pulled the last 12 weeks from db2luw. Up +38% vs. the prior period — growth accelerating in the last four weeks.
Save it to the Acme Corp dashboard.
Ask a follow-up about Db2 for LUW… ↵
AI chat
Ask anything about your Db2 for LUW data
Imagine ChatGPT or Claude, but with full context of your Db2 for LUW schema and how your team uses it. Basedash answers in plain language, backed by real queries.
- Show row growth across Db2 for LUW tables over the last 90 days.
- Which Db2 for LUW tables are growing fastest this quarter?
- Top customers in Db2 for LUW by revenue last month.
- Find the slowest queries hitting Db2 for LUW this week.
Plain-language queries
Ask follow-ups in natural language. Basedash translates them into SQL against your Db2 for LUW data.
Knows your business
Basedash learns your KPIs, schemas, and the way your team talks about Db2 for LUW.
Agentic by default
Runs multiple queries, resolves errors, and iterates until the answer is right — no babysitting.
Basedash Warehouse
Pair Db2 for LUW with 750+ other apps
Bring everything into one managed warehouse and see how Sales, Finance, Product, and operations actually connect.
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Zero-config warehouse
Connect Db2 for LUW and Basedash sets up a managed warehouse, syncs the data, and is ready to query.
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Production-safe
Run heavy analytics queries without ever touching your live application database.
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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 Db2 for LUW and answer questions for your exact use case.