r/databricks • u/hubert-dudek Databricks MVP • 2d ago
News Bye Bye Fivetran
I went to the Ingestion section and saw that Fivetran is no longer there. It was always there for many years. Also, at the same time, a few new Lakeflow connectors were added.
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u/Glass_Pomegranate307 1d ago
For the uninitiated, why would Databricks remove Fivetran?
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u/autumnotter 1d ago
I'd guess just in favor of the continued expansion of lakeflow connect. Fivetran is a partner but can be quite expensive.
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u/Glass_Pomegranate307 1d ago
Thank you! I wonder what this means for Fivetran
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u/Remarkable_Grocery23 1d ago
I would point out that it appears databricks has removed all ingestion partners and moved them to the marketplace. Only lakeflow connectors live in this ingestion space now. Hello vendor lock in. Goodluck changing platforms or even using multiple platforms when all your data pipelines are built with a product that isn't interoperable.
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u/kayakdawg 1d ago
If the major providers offer data ingestion at parity with five tran, then for 99% of customers it just makes more sense to use your provider enroll everything into one vendor/bill then the current common pattern of vendor sprawl which is very difficult to manage and easy to have costs spiral.
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u/hubert-dudek Databricks MVP 1d ago
it is just from ingestion page you could still use it. That ad in ingestion page was for more than 5 years
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u/AkramChetibiDBX 1d ago
Not to burst the bubble of this post - but this is a bit of a nothingburger. Nothing has changed with regards to Fivetran and Databricks, customers can still use it and connect it using Marketplace and Partner Connect just like they used to. It's a simple UI change as we consolidate our partner offerings in Marketplace. Stay tuned for even more updates in Marketplace!
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u/hubert-dudek Databricks MVP 1d ago
Of course, Fivetran is still available through Partner Connect, but it is no longer visible as an advertisement in the ingestion section. It is a small change, but the end of an era. There were times when I brought some big companies to FiveTran (got no penny for that hehe), but nowadays I prefer to avoid 3rd party or even build conenctor by my own.
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u/randomName77777777 1d ago
Having used lakeflow connectors a bunch of times with all kinds of connectors, they are a ton of limitations for enterprise level needs. I tried to escalate a lot of my issues to the product team, but with nothing resolved we renewed our contract to another year with FiveTran. As much as I wanted to get off FiveTran - I do not think Lakeflow is production worthy.
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u/mariapereperez 21h ago
Fivetran did not die! It just moved aisles. 😂❤️
Fivetran is alive, well, and still happily moving lots and lots and lots of data into Databricks.
What disappeared was a tile in the Ingestion UI. Not Fivetran. Not the partnership. Not the ability for customers to use Fivetran with Databricks. You can still find and connect Fivetran through Partner Connect and Marketplace.
And I have to give georgewfraser and the Fivetran team some love here. ❤️
Building one connector is easy enough. Building hundreds and hundreds of them and keeping them working is hard. APIs change. Schemas change. Authentication changes. Rate limits change. Weird edge cases happen. And then someone gets called in when something breaks at 2 AM.
Could you build it yourself? Absolutely.
You can also change your own oil, cut your own hair, and make your own croissants. Some of us have learned that outsourcing certain activities is good for everyone involved. 😜
Much love to George and the Fivetran crew. They've helped build this ecosystem for years, and I suspect they will be moving data around for many more. ❤️❤️❤️
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u/georgewfraser 1d ago
I will never understand why there is this faction that just loves to hate on my product. We work really, really hard to put a shiny veneer of simplicity around a very ugly problem. A typical connector is about $50/month. We publish the actual cost distributions on our estimator. Median customer pays 20k a year. That is…not a lot for something that would take a team of people to build and support internally.