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Launch HN: Metaplane (YC W20) – Datadog for Data

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Re: Launch HN: Metaplane (YC W20) – Datadog for Data

#31
I love this, and the comment you made about getting up in 10 mins with any size team.

e.g. we are just 2 of us - yet need this.

Also, apologies - but I litereally hear in my head "Meatplane" every time I read 'Metaplane' (but I do like the name - Suckit Zuck, metaplane is just way more meta-ier than 'Meta'

Re: Launch HN: Metaplane (YC W20) – Datadog for Data

#32

I love this, and the comment you made about getting up in 10 mins with any size team. e.g. we are just 2 of us - yet need this. Also, apologies - but I litereally hear in my head "Meatplane" every time I read 'Metaplane' (but I do like the name - Suckit Zuck, metaplane is just way more meta-ier than 'Meta'

Haha you're definitely not alone — this happened so much we ended up getting http://meatplane.com. Maybe we'll consider a rebrand in the near future :)

Re: Launch HN: Metaplane (YC W20) – Datadog for Data

#33

My team has worked on a library for a similar purpose: https://github.com/capitalone/DataProfiler Load any document, profile and monitor the profiles for changes that would impact downstream applications. Very common problem, you all are in a great space! Very interested and will check out!

Nice work! Love the support for merging profiles together and also profiling unstructured data. I could’ve used this all of the time back in research days, instead of having to do the profiling by hand and from scratch every time.

We definitely want to explore suggesting data tests based on profiling. Don’t be surprised if you see a fork!

Re: Launch HN: Metaplane (YC W20) – Datadog for Data

#35
post #25

Looks great! Congrats on the launch. How does this differ from a data reliability platform like Datafold? https://www.datafold.com/ And can this replace what https://atlan.com/ does as well?

Good question! Both Datafold and Atlan support data monitoring as a secondary feature, but have different main focuses:

Datafold is primarily known for their Data Diff regression testing that simulates the result of a PR on your data within a CI/CD workflow. There’s definitely a need for proactively preventing data issues from occurring in the first place, but issues introduced via code are only one subset of potential data quality issues.

Metaplane is focused on catching the symptoms first via continuous monitoring. Regression tests don’t replace the need for observability, and vice-versa.

Atlan is primarily known for their data workspace features that make collaboration easier, like a data dictionary, SQL editor, and governance.

Data collaboration is a huge unsolved problem and data monitoring does play a role there. But Metaplane is focused squarely on the problem of detecting data issues and giving you relevant metadata to prioritize and debug.

Re: Launch HN: Metaplane (YC W20) – Datadog for Data

#36
post #35
post #25

Looks great! Congrats on the launch. How does this differ from a data reliability platform like Datafold? https://www.datafold.com/ And can this replace what https://atlan.com/ does as well?

Good question! Both Datafold and Atlan support data monitoring as a secondary feature, but have different main focuses: Datafold is primarily known for their Data Diff regression testing that simulates the result of a PR on your data within a CI/CD workflow. There’s definitely a need for proactively preventing data issues from occurring in the first place, but issues introduced via code are only one subset of potenti…

thanks for the reply! great breakdown of the space

Re: Launch HN: Metaplane (YC W20) – Datadog for Data

#37
post #8

Earlier quoted context omitted.

We wanted to make Metaplane free for individuals and approachable for teams, and found that $400/mo is justified by the cost of engineering time saved and is comparable to other paid tools that a smaller data team might use (like dbt, Fivetran, Hightouch). That said, we’re still experimenting with pricing though, and I can see the argument for a tier that’s more suited for individual paid plans. We also want the free…

One note about the pricing page itself - I found the "black vs grey" links for the two tiers of "Growth" pretty confusing. I incorrectly assumed that once I enter the Growth plan $400/mo, I get access to dbt/lineage. But those are only "checked" when you pay $800/mo version of the Growth plan. So it really feels like you have 4 plans: Free, Growth, Business?, and Enterprise.

Thanks for the feedback on pricing — it's definitely a work in progress (and we'll make the visual distinction clearer on our website). Our goal is to be as accessible as possible, so we're flexible with the plans right now. Pricing shouldn't be the reason that a team misses out on data issues.

When you sign up, you'll have access to everything immediately, so you can connect and try it out and when we start enforcing the limits, we'll give you ample notice.

I'm curious if you have opinions on the plans and pricing. Do the plans make sense as 1. individual 2. team for warehouse 3. team for whole stack 4. enterprise?

Re: Launch HN: Metaplane (YC W20) – Datadog for Data

#38
post #32

I love this, and the comment you made about getting up in 10 mins with any size team. e.g. we are just 2 of us - yet need this. Also, apologies - but I litereally hear in my head "Meatplane" every time I read 'Metaplane' (but I do like the name - Suckit Zuck, metaplane is just way more meta-ier than 'Meta'

Haha you're definitely not alone — this happened so much we ended up getting http://meatplane.com . Maybe we'll consider a rebrand in the near future :)

So click me and pay for me

Tell me that you'll data me

Watch me like you'll never let me down

'Cause I'm Aler-tin' on a meat-plane

Don't know when I'll be backed-up again

Oh Ops, I hate to go

https://youtu.be/SneCkM0bJq0?t=34

Re: Launch HN: Metaplane (YC W20) – Datadog for Data

#39

Congrats on the launch! Any plans to integrate with Apache Superset? https://superset.apache.org/

Thanks, and definitely! We're making a big push in the coming months to keep building out our downstream BI integrations. The Superset API is quite nice so we're looking forward to working with it.
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