Draxlr is a tool to analyze and monitor your data. It can help you get answers from your database, without writing code. These answers and insights can be shared with your team and customers. You can build graphs, charts, and dashboards and share them as links, images, or embed them on your website and app. Not only that you can set up monitoring on your data, so if any data changes you can be alerted via Slack and Email.
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Based on our record, Apache Superset seems to be a lot more popular than Draxlr. While we know about 51 links to Apache Superset, we've tracked only 1 mention of Draxlr. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Do you have any thoughts on Superset? Did you consider it as a candidate? For anyone who doesn't know: https://superset.apache.org/ (There's at least one service that offers managed Superset hosting if that's what you're looking for; it's easy to find so I won't link it here.). - Source: Hacker News / 4 months ago
Recently I discovered BigQuery public datasets - just over 200 datasets available for directly querying via SQL. I think this is a great thing! I can connect these direct to an analytics platform (we use Apache Superset which uses Python SQLAlchemy under the hood) for example and just start dashboarding. Source: 10 months ago
If they don't want to pay for powerbi, can try something like https://superset.apache.org/. Source: 10 months ago
In today's fast-paced data-driven world, organizations must analyze data in real-time to make timely and informed decisions. Real-time data analytics enables businesses to gain valuable insights, respond to real-time events, and stay ahead of the competition. Also, the analytics engine must be capable of running analytical queries and returning results in real-time. In this article, we will explore how you can... - Source: dev.to / 12 months ago
For charting, I use superset. It is a good solution if you have a server, but a bit difficult to install. You can use hledger2psql to convert the journal to a database and you can use the docker-compose file included to install with one command. Source: about 1 year ago
You can try draxlr.com, it's read-only, no Write/Update. But in my opinion, it's pretty good for getting answers from your data without writing code. On top, I like the options to build dashboards and graphs and setup Slack and Email alerts. Source: almost 2 years ago
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