Data Pipelines

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UnmaintainedGitHub repository has been archived.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.

  1. 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.

  2. 02

    Complex setup process

    Setting up Delight requires detailed configuration and integration steps that may be challenging without extensive Spark experience.

  3. 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.

  4. 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.

Open the setup guide →
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Delight — tracked on AI Navigator

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