alt.hn

4/8/2026 at 9:11:31 PM

Show HN: I built a local data lake for AI powered data engineering and analytics

 https://stream-sock-3f5.notion.site/Nile-Local-an-AI-Data-IDE-that-runs-on-your-local-machine-33b126c4d01a8052a96cc879c2dea08e?source=copy_link

by vpfaiz

4/9/2026 at 2:11:32 AM

Very cool idea. The part I would love to hear more about is how you are thinking about the boundary between notebook/IDE convenience and actual data lake guarantees. For example, what exactly is versioned, how reproducible are transformations, and how much lineage visibility do I get once I start mixing SQL, PySpark, natural language queries, and imported web/DB data?

by ramkiz

4/9/2026 at 5:59:18 PM

Everything including actual data, schema and transform is versioned and tracked at job run level.

You will get job run level lineage for any datasets created in the system.

by vpfaiz

4/8/2026 at 10:15:02 PM

What's the difference between this and asking claude to do data analysis?

by jazarine

4/8/2026 at 10:32:13 PM

Two things:

1. You may not want to expose bits and pieces of your data and metadata to an LLM, you dont want your data to be used for training. If you are using LLM running on your machine, as in this case, you are covered there.

2. Claude can do a lot of stuff, but doing multi step analysis consistently and reliably is not guaranteed due to the non-deterministic nature of LLMs. Every time it may take a different route. Nile local offers a bunch of data primitives like query, build-pipe, discover, etc. that reduces the non-determinism and bring reliability and transparency (how the answer was derrived) to the data analysis.

by vpfaiz

4/9/2026 at 10:58:50 PM

Great work! What is the difference between writing a shell script to solve "cloud setup, ETL pipelines, orchestration, cost monitoring", and using a local app?

by revv00

4/16/2026 at 3:03:16 AM

I used to write a shell script to do all this. Then the number of scripts started adding up, got overly complex. This local app here is what evolved from all that, but with more reliable query running, compute management, spark environment, and above all UI and AI that can make this process seamless than a cluttered CLI UX.

by vpfaiz

4/9/2026 at 12:33:05 AM

When you say local do you mean I could run it without wifi? i have some work files I could use some help on but can’t connect to other LLMs

by am__

4/16/2026 at 3:00:17 AM

Yes, absolutely. You can turn off wifi and still work on your data, with AI to help you out. LLM runs locally on your box.

by vpfaiz

4/9/2026 at 12:22:14 AM

Can I run it on my MacBook.. do I need to setup LLM myself?

by sdhruv93

4/9/2026 at 1:19:45 AM

Yes. I would recommend a model with 16gb ram at least but I was able to run it on a MacBook air 8gb but it lagged for LLM assist.

You don't need to setup LLM locally, the tool does that. You can choose which model to go with. It has Gemma and Qwen supported now.

by vpfaiz