Delight
Stream Spark event logs to an improved UI for better monitoring and analysis.
- Status
- UnmaintainedGitHub repository has been archived.
- Last checked
- Checked · Oct 15, 2026
- License
- Open source
- Pricing
- Free tier · from $0
What it is
Delight is a listener that streams Spark events logs to a free, enhanced Spark UI. It provides developers with more insightful visualizations and analytics compared to the default Spark UI.
Delight offers a free and enhanced UI for monitoring Spark jobs, providing more insightful visualizations compared to the default Spark UI, making it ideal for developers who need better visibility into their Spark applications.
When it fits — and when it doesn’t
A good fit for
Developers who need a more insightful and user-friendly UI for monitoring their Spark jobs.
Data teams looking to improve the visibility into their Spark application performance.
Look elsewhere if
Teams needing real-time streaming capabilities beyond what is provided by Spark event logs.
Projects that require integration with non-Spark data processing frameworks.
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Limited language support, primarily Scala-focused
The primary language is Scala, which can be a barrier for teams with developers who are not proficient in Scala.
- 02
Complex setup process
Setting up Delight requires detailed configuration and integration steps that may be challenging without extensive Spark experience.
- 03
Performance overhead when streaming logs
Streaming event logs to the enhanced UI can introduce performance bottlenecks, especially in large-scale or high-throughput environments.
- 04
Small community and limited third-party integrations
Due to its niche focus on Spark monitoring, Delight has a smaller user base and fewer third-party tools that integrate directly with it.
What it does well
Streams Spark event logs to an improved UI for better monitoring and analysis.
Provides more insightful visualizations compared to the default Spark UI.
Free and open-source.
Pricing
- Free tier
- YesOpen source — free to use
- Paid from
- $0
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up Delight
Setup steps, common gotchas and what to check after 30 days.
Get the badge
A small badge for Delight’s README or site: its name, “Tracked on AI Navigator”, and the availability status and check month from this page. It updates as the catalog does.
Markdown
[](https://navigateaitools.com/explorer/tool/delight)HTML
<a href="https://navigateaitools.com/explorer/tool/delight"><img src="https://navigateaitools.com/badge/delight.svg" alt="Delight — tracked on AI Navigator" height="58"></a>