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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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differential-datalog
DDlog is a programming language for incremental computation. It is well suited for writing programs that continuously update their output in response to input changes. A DDlog programmer does not write incremental algorithms; instead they specify the desired input-output mapping in a declarative manner.
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There's a framework for web and mobile applications (including both the frontend and backend) called Obelisk. You can compile the same code to an ARM executable that runs on a phone instead of Javascript for the web. (The app on the phone will run native code that controls the contents of a webview via a small Javascript shim that it communicates with from outside the webview, which turns out to be much faster than running the whole app in Javascript generally.)
I've built miso, https://haskell-miso.org and it does use the VDOM appraoch. Svelte uses static analysis to compile down to the minimum number of DOM operations required to run your specific app. I think it's the future. This would only be possible in Haskell w/ GHCJS, since you'd need the GHCJS runtime to support it.
Actually, that makes me wonder whether or not differential datalog falls under that umbrella, and if it could be applied in the same way Compose is.
Actually, with regard to UI applications, it seems like such things already exist -- just not in Haskell.