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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

#51

Post by technobabbler »

jainaayush05 wrote: post #49
technobabbler wrote: post #45

For those of us in smaller businesses, any chance of supporting Google Analytics as an integration? The ability to detect statistical anomalies across random pages/events would be a godsend, especially for organizations that don't have a proper data warehouse and dedicated BI staff. I guess that'd be kinda a crossover between data integrity and marketing... in this case, an anomaly IS the data, where an unexpected in…

Check out www.cliff.ai

Do they support Google Analytics? Nothing on their website or release notes indicates this, as far as I could find.

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

#52

Post by kzh_ »

technobabbler wrote: post #45

For those of us in smaller businesses, any chance of supporting Google Analytics as an integration? The ability to detect statistical anomalies across random pages/events would be a godsend, especially for organizations that don't have a proper data warehouse and dedicated BI staff. I guess that'd be kinda a crossover between data integrity and marketing... in this case, an anomaly IS the data, where an unexpected in…

Not yet, but eventually! We’re focused on data in warehouses and transactional DBs right now, just to limit the amount of integrations we need to build to start. We definitely plan to integrate with application sources like Google Analytics down the line though. Upstream applications are ultimately the sources of data truth, after all.

I wanted to +1 what you said about “organizations that don’t have a proper data warehouse and dedicated BI staff.” At the end of the day, a huge number of companies (maybe even most?) don’t have dedicated data teams but still want to know be alerted about data anomalies. Heck, we at Metaplane even fall into that camp.

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

#53

Post by technobabbler »

kzh_ wrote: post #52
technobabbler wrote: post #45

For those of us in smaller businesses, any chance of supporting Google Analytics as an integration? The ability to detect statistical anomalies across random pages/events would be a godsend, especially for organizations that don't have a proper data warehouse and dedicated BI staff. I guess that'd be kinda a crossover between data integrity and marketing... in this case, an anomaly IS the data, where an unexpected in…

Not yet, but eventually! We’re focused on data in warehouses and transactional DBs right now, just to limit the amount of integrations we need to build to start. We definitely plan to integrate with application sources like Google Analytics down the line though. Upstream applications are ultimately the sources of data truth, after all. I wanted to +1 what you said about “organizations that don’t have a proper data wa…

Sounds good, thank you!

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

#54

Post by gz5 »

kzh_ wrote: post #16
i_like_waiting wrote: post #13

Looks amazing, and timing on bringing the solution is great. Any chance there will be on-prem version?

Great question! While right now we are focused on our cloud native application, we do plan on supporting an on-prem version for companies that require hosting themselves. The reason our customers haven’t required this is because we’ve tried to take security seriously from day one and Metaplane doesn’t store any customer data (just the metadata). We received our SOC2 Type II report, support IP whitelisting, SSH/Revers…

Congrats on the launch. Well done.

another security approach is to enable your customers to close their inbound firewall ports and link listeners. this helps cloud and on prem models have far stronger security.

example here (disclosure: i am a founder of the company behind this solution) with both open source and OEM/SaaS models:

https://github.com/openziti-incubator/zdbc (code for one implementation - a wrapper around the JDBC drivers)

https://netfoundry.io/zero-trust-database-security/ (blog post with links to developer example video, whitepaper, etc)

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

#56

Post by gurubavan »

boundlessdreamz wrote: post #55

Offtopic, what is the template used for the landing page or the inspiration? I think I have seen quite a few like this. Example : https://conjure.so/

Check out https://tailwindcss.com/ — it's been gaining popularity as a CSS system and comes with great defaults

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

#57

Post by boundlessdreamz »

gurubavan wrote: post #56
boundlessdreamz wrote: post #55

Offtopic, what is the template used for the landing page or the inspiration? I think I have seen quite a few like this. Example : https://conjure.so/

Check out https://tailwindcss.com/ — it's been gaining popularity as a CSS system and comes with great defaults

I use tailwindUI :) The landing page format (big headline / hero image below etc) looked similar to other sites.

Btw congratulations on the launch. The tool looks great.

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

#58

Post by tixocloud »

technobabbler wrote: post #45

For those of us in smaller businesses, any chance of supporting Google Analytics as an integration? The ability to detect statistical anomalies across random pages/events would be a godsend, especially for organizations that don't have a proper data warehouse and dedicated BI staff. I guess that'd be kinda a crossover between data integrity and marketing... in this case, an anomaly IS the data, where an unexpected in…

We're actually thinking of building something like that and would love to have a chat to learn more about use cases.

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

#60

Post by big_big_data »

lettergram wrote: post #26

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!

this is cool !! have you experimented with getting this to run on large datasets ? IE: running this with Spark or on your datawarehouse ?
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