Delight

Stream Spark event logs to an improved UI for better monitoring and analysis.

DecliningOpen SourceLow lock-in

Pricing

Free tier

Flat rate

Adoption

Cooling

License

Open Source

Data freshness

Aging · Jun 8, 2026

Overview

What is Delight?

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.

Key differentiator

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.

Capability profile

Capability Radar

Ease of StartEcosystemValueMaturityFlexibilityScale Ready

Honest assessment

Strengths & Weaknesses

↑ Strengths

Streams Spark event logs to an improved UI for better monitoring and analysis.medium

Provides more insightful visualizations compared to the default Spark UI.medium

Free and open-source.medium

↓ Weaknesses

Limited language support, primarily Scala-focusedhigh

The primary language is Scala, which can be a barrier for teams with developers who are not proficient in Scala.

Complex setup processmedium

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

Performance overhead when streaming logshigh

Streaming event logs to the enhanced UI can introduce performance bottlenecks, especially in large-scale or high-throughput environments.

Small community and limited third-party integrationsmedium

Due to its niche focus on Spark monitoring, Delight has a smaller user base and fewer third-party tools that integrate directly with it.

Fit analysis

Who is it for?

✓ Best 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.

✕ Not a fit for

Teams needing real-time streaming capabilities beyond what is provided by Spark event logs.

Projects that require integration with non-Spark data processing frameworks.

Cost structure

Pricing

Free Tier

Available

Open source — free to use

Starts at

$0

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Ecosystem

Relationships

Alternatives

Works well with

Next step

Get Started with Delight

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →