Phenesthe VS kaskada

Compare Phenesthe vs kaskada and see what are their differences.

Phenesthe

'Phenesthe' (orig. φαίνεσθαι) is a system for the representation and processing of instantaneous and durative temporal phenomena. (by manospits)
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Phenesthe kaskada
1 3
19 341
- 1.8%
4.2 9.6
about 2 months ago 6 months ago
Prolog Rust
GNU General Public License v3.0 only Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Phenesthe

Posts with mentions or reviews of Phenesthe. We have used some of these posts to build our list of alternatives and similar projects.

kaskada

Posts with mentions or reviews of kaskada. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Phenesthe and kaskada you can also consider the following projects:

Siddhi - Stream Processing and Complex Event Processing Engine

fluvio - Lean and mean distributed stream processing system written in rust and web assembly.

pushpin - A proxy server for adding push to your API, used at the core of Fastly's Fanout service

dozer - Dozer is a real-time data movement tool that leverages CDC from various sources and moves data into various sinks.

RTEC - RTEC is an Event Calculus implementation optimised for stream reasoning

materialize - The data warehouse for operational workloads.

lol-html - Low output latency streaming HTML parser/rewriter with CSS selector-based API

datafuse - An elastic and reliable Cloud Warehouse, offers Blazing Fast Query and combines Elasticity, Simplicity, Low cost of the Cloud, built to make the Data Cloud easy [Moved to: https://github.com/datafuselabs/databend]