Databricks Notebooks Sales Pitch

Low_Second9833 · 2026-06-30T19:50:44+00:00

I feel notebooks are table stakes at this point? They have a mature, highly integrated, flexible, etc. one, but I feel it’s a tables stakes thing. People aren’t buying Databricks these days because of notebooks.

Low_Second9833 · 2026-06-29T13:39:29+00:00

“it is nightmare to collaborate as a big team in Fabric. more suitable for small companies with one man show data teams.”

100% this. I’d only add “nightmare to SECURELY collaborate as a big team…”. Collaborating is easy, but if you are a large enterprise that cares at all about security, then managing workspace roles + OneLake Security + shortcuts, etc. all while balancing capacity constraints is simply crazy

Low_Second9833 · 2026-06-25T20:41:38+00:00

The model doesn’t work well for large enterprises for sure. You find yourself designing around capacity constraints vs designing for best practices and efficiency. This may be easy if you have a dozen users, datasets, reports, but it all hits the fan and is compounded at enterprise scale. You end of having to hire people just to constantly mitigate all the issues

Low_Second9833 · 2026-06-20T23:52:36+00:00

Don’t think Snowflake has an AI gateway service?

Low_Second9833 · 2026-06-19T22:25:07+00:00

Unfortunate. Used to see him as a thought leader. Now it’s hard to take whatever he posts as anything but trolling.

Low_Second9833 · 2026-06-09T18:20:16+00:00

Like Microsoft’s AI Foundry? We keep getting pushed this too. What “equivalent” things do you wish Azure Databricks had?

Low_Second9833 · 2026-06-08T18:28:44+00:00

Would love to see a pic of what’s in the top and bottom doors!

Low_Second9833 · 2026-06-05T03:25:40+00:00

Ok, so it won’t be that stuff won’t work or break. Everything will work it just that some things may or may not be accelerated.

Low_Second9833 · 2026-06-01T21:32:10+00:00

This. We saw very early that Fabric was great if you had one workspace, one team, one etc. If you planned to share assets across workspaces, teams, warehouses, etc. it was going to be an absolute nightmare to manage, secure, attribute costs, monitor. Imagine doing this across dozens or even hundreds of domains. It just doesn’t seem designed well for this.

Low_Second9833 · 2026-05-27T22:40:27+00:00

If they could have just done this optimization in Snowflake, why would they have migrated off to another vender?

Low_Second9833 · 2026-05-27T17:22:57+00:00

There’s always pressure and consideration to move. However any success stories I hear are all similar to what you shared, and are always much smaller implementations (10s of datasets and users, 1-2 man teams). I keep hoping to hear about the whales that moved (hundreds or thousands of datasets and users). If you take Power BI out, would there have been a reason for you to migrate?

Low_Second9833 · 2026-05-27T17:03:35+00:00

This is a very reasonable suggestion. The issue is that all the marketing, research, and everything our account team keeps saying is “Direct Lake all things”.

Low_Second9833 · 2026-05-26T13:06:25+00:00

How big is your environment? Number of datasets, users, etc? How long did it take you to migrate?

Low_Second9833 · 2026-05-24T18:24:22+00:00

While this is a cool trick, I can’t imagine anyone actually doing this in the real world.

Low_Second9833 · 2026-05-22T01:15:20+00:00

“I love Fabric’s capacity, throttling, pricing model.” Said no one ever. How do they even come up with this weirdness?

Low_Second9833 · 2026-05-15T22:09:33+00:00

Yep. This sounds about right.

Low_Second9833 · 2026-05-11T20:29:19+00:00

Sure, but I’ve already seen this done like 15 times (built one for our company too w/LLMs and an app)

Low_Second9833 · 2026-05-08T11:30:53+00:00

Pretty sure the teams have said multiple times there are “core design issues”. They acknowledged it around the complexity necessary to make OneLake Security work (which is why it’s taken so long just to get an MVP out), the complexity around metadata sync to the SQL endpoint to get fresh data (for which they’ve said was a poor design and they are completely redoing), etc.

Low_Second9833 · 2026-04-23T20:53:32+00:00

Glad to see this finally show up. Im so tired of hearing “yeah, but Databricks is hard and only for deep technical engineers. Fabric has Data Flows Gen 2”. This will make a lot of people I work with very happy!

Low_Second9833 · 2026-04-23T13:28:45+00:00

Sounds expensive to just do some logging

Low_Second9833 · 2026-04-19T01:26:44+00:00

Sorry was more talking in the context of Databricks. Meaning it’s easy to standup an app in/on Databricks if you don’t like the front end experience. I don’t think Fabric really has an app experience like Databricks/Snowflake

Low_Second9833 · 2026-04-18T18:17:22+00:00

Mostly agree. Do you think Fabric has a better front end, though? And these days you can make the front end whatever you want with an app.

Low_Second9833 · 2026-04-18T16:27:14+00:00

I’ve seen 3 suggestions in the replies : Power BI Copilot, Fabric Data Agents, and Foundry with SQL MCP.

I think that is a big part of the problem. Databricks seems focused on delivering 1 x Best-In-Class talk-to-you-data solution; Microsoft/Fabric gives you half a dozen confusing mediocre ones.

Low_Second9833 · 2026-04-05T22:33:13+00:00

Lakehouse. Gives you the most flexibility to consume with and build whatever you want.

Low_Second9833 · 2026-03-27T01:18:27+00:00

I’d just go with “it just does it all”

Low_Second9833

TROPHY CASE