Umami VS Metabase

Are you tired of relying solely on Google Analytics to track your website's performance? Look no further! Introducing Umami , a powerful and privacy-focused alternative that puts you in control of your analytics data. Umami was founded by three brothers, Mike, Brian and Francis Cao as they were frustarted with using Google Analytics, which dominated and still does the industry of analytics despite of privacy concerns. As it is open-source, Umami quickly started being popular open-source project while still respecting privacy of users. My personal opinion, is that Umami is really easy to setup and use, for smaller projects as my personal website it is of great use. It does not many tracking as GA but it really does its job.

Link | Demo | Github | License

For a while now, I've been creating mini web tools to test out ideas or as tiny helpers for myself. I usually publish them on individual subdomains, which might not be the best idea, but I like the concept of a short, easy-to-remember URL. Recently, I discovered that some of these tools actually have a few users, which made me consider adding analytics to them. After a bit of research, I settled on umami. It's a great little privacy-conscious tool with exactly what I need and nothing more.

If you already use Posthog, Web Analytics has been in Public Beta for quite some time.[1]

If I remember correctly, CloudFlare Analytics does not need you to register your domain with them. I personally feel keeping domain registration coupled with your DNS provider is not a good idea.

Plausible[2] has an Open Source self-hostable version but is not so updated in sync with their SaaS version.

Umami[3] is another simple, clean one. And, of course, as many have suggested, Matomo is the other well-established one. If you want to avoid maintaining a hosting routine, a lot do the hosting out of the box these days. PikaPods[4] was good when I tried and played around for a while.

1. https://posthog.com/docs/web-analytics

2. https://github.com/plausible/analytics

3. https://umami.is

4. https://www.pikapods.com

not enough, can confirm, I moved to Umami for ChadNext

Think of metrics that will gather good insights for creating more things for the product later and track them using analytics services like umami or others.

Analytics is something that can easily become a privacy headache. To get around the issues as much as possible, the strategy I've implemented is to self-host the analytics tool Umami (again, via the One click app functionality in CapRover!).

This question is targeted to those who have experience with Umami. I’m wondering if it make sense with a specific configuration.

I've self-hosted Umami and works just fine. Check it out here: https://umami.is/

Remote Code Execution via H2

We've used it for about a year - Blazer is okay if you need a quick SQL query console, but we found it lacking as an actual business intelligence tool. The support for graphs and dashboards is limited, for graphs it requires you to structure the query in an exact way as you can see in the Blazer readme.

After some research on available alternatives that don't break the bank, we decided to deploy a self-hosted instance of Metabase[0]. This took only a few minutes to set up using their Docker image[1] and it has much better graphing capabilities and you can easily put a custom layout together for dashboards. Upgrading is similarly easy (just redeploy). Also easy to configure: data sources, hiding or changing the data type of a column, G Suite sign-in for our domain. Highly recommend it if you need anything more than Blazer's table output.

[0]: https://github.com/metabase/metabase

I've never used Tableau, but heard a lot of hate about it. However, in my previous role, we were big fans of Metabase (https://metabase.com). You can also self-host it, which was a huge win for us.

It seems folks want a working example. Here's one in prod:

Metabase is a BI tool, backend written mostly in Clojure. Like basically all BI tools they have this intermediate representation language thing so you write the same thing in "MBQL (metabase query language)" and it theoretically becomes same query in like, Postgres and Mongo and whatever. End user does not usually write MBQL, it's a service for the frontend querybuilding UI thing and lots of other frontend UI stuff mainly in usage.

Whole processing from MBQL -> your SQL or whatever is done via a buncha big-ass transducers. Metabase is not materially faster than other BI tools (because all the other BI tools do something vaguely similar in their langs) but it's pretty comparable speed and the whole thing was materially written by like 5 peeps

https://github.com/metabase/metabase/blob/master/src/metabas...

(nb: I used to work for Metabase but currently do not. but open core is open core)

They haven't released the source, and the compiled versions are non-trivial to diff (e.g. there are nondeterministic numbers from the clojure compiler that seem to have changed from one to the other, and .clj files have been removed from the jar).

The old version has `hash=1bb88f5`, which is a public commit: https://github.com/metabase/metabase/commit/1bb88f5

We are unsure about the right license to use, so this is a great feedback. We had a MIT license one week ago that we know that we cannot hold on long term and we felt we were lying to the community by keeping an MIT license and changing it in one year.

By using AGPL, we feel it's the right level of restriction. It's the license used by Metabase for example (https://github.com/metabase/metabase) that many companies use internally.

The solution really depends on what sort of problems you are trying to solve and who your customers are.

There are a fair few low-code solutions out there for reporting and data visualisation that are great for finance and marketing teams for example. e.g. https://metabase.com/ , https://evidence.dev/

For multipurpose SMB workflows and organisational processes, I have used n8n in the recent past and found it was quite good and incredibly easy to maintain. https://n8n.io/engineering-resources/

For enterprise processes I'd go with Camunda (solely based on recommendations and not first hand experience). Although only parts of their platform are OSS https://github.com/camunda

Bear in mind that some of these are not suitable if you want to build something that competes with them while taking their OSS code. But are perfectly fine otherwise.

Anyway, I have a collection of scripts that merge ActivityWatch data from all my machines and WakaTime exports to a PostgreSQL database which I then query with a project called Metabase. If you're curious, the scripts are in a repository called sqrt-data. I've been playing with this for ~4-5 years already I think.

Metabase | https://metabase.com | REMOTE | Full-time | Backend, Frontend, Full Stack, and DevOps engineers

Metabase is open source analytics software that lets anyone in your company rummage around in the databases you have. It connects to a number of databases / data warehouses (BigQuery, Redshift, Snowflake, Postgres, MySQL, etc).