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Was about to say the same. Last year I went through a huge industry comparison exercise for my former company. Spent 6 months evaluating BI tooling. Every option out there is ridiculously expensive. Looker quoted us at $1M/year, though they were using the sticker shock strategy to get us around a $200K/year price point.
I came away with the impression that BI is simply not accessible outside of enterprise level orgs. So I love seeing tools like this come into the market. You should also check out https://cube.dev - they're much less out of the box, but super flexible for developers.
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Sonar
Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
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Can you do the analysis/visualization in Python? If so, you could use https://github.com/datapane/datapane to build and share a report or dashboard (either as an HTML file, or publish it for free on datapane.com). I'm one of the people building it, so let me know if I can help!
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We're using Superset to enable our analysts to explore our clients' SEM/SEO/analytics data. It also posts alerts to Slack when, say, the daily session count of a website isn't what was expected given the historical data.
Yeah, it's a little rough to get going, but once it is, we've found it to be a really powerful (and actively developed!) BI tool. It's even better with dbt + MetriQL [0], which can automatically sync Superset's dataset metadata directly with properties you set up in dbt.
Adding custom visualizations is much harder than it should be, but they're very much aware of that, and working to address it. Their Slack community is super-helpful, too.
[0]: https://metriql.com
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Redash
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
I remember doing the research a few years ago. Redash was the final choice because it supports mongodb.
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there is a csv driver[1] which allows you map a csv file on the metabase server, or providing a url of the csv. But I guess most people (including myself) would think of "upload csv file via UI" when it comes to csv support.
[1] https://github.com/Markenson/csv-metabase-driver/releases/ta...
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perspective
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
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InfluxDB
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
