Apache Zeppelin

Definition

Apache Zeppelin is a web-based notebook that enables interactive, collaborative data analytics, supporting multiple language and engine backends — including Spark, SQL, and Python — through pluggable interpreters.

Overview

Zeppelin was incubated by NFLabs and donated to the Apache Software Foundation in 2014, where it developed alongside the rise of Apache Spark as a big-data processing engine. Each Zeppelin notebook cell runs through an "interpreter," a pluggable backend that can target Spark, SQL, Python, Scala, Markdown, shell commands, and more, letting a single notebook mix languages across cells while sharing context where interpreters support it. Zeppelin includes built-in charting, so users can visualize query results directly without importing a separate plotting library — a contrast to notebooks like JupyterLab, which rely on external visualization libraries but support a much broader range of general-purpose and data-science workloads beyond big data. Zeppelin notebooks can be scheduled to run as jobs, shared for team collaboration, and parameterized with dynamic forms for reusable reports. It typically runs on Kubernetes or wherever a Spark cluster is available, and is conceptually similar to (though a distinct product from) the notebook environments built into platforms like Databricks. Zeppelin is most often found in Spark-centric big-data environments where its tight, native Spark integration is the deciding factor over more general-purpose notebook tools.

Key Features

• Pluggable multi-language interpreters (Spark, SQL, Python, Scala, and more)
• Built-in charting without needing external visualization libraries
• Tight, native integration with Apache Spark
• Collaborative notebook sharing among teams
• Dynamic forms for parameterized, reusable reports
• Scheduler for running notebooks as recurring jobs
• Notebook versioning

Use Cases

Frequently Asked Questions

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