Apache Zeppelin
UnclaimedA multi-purpose notebook for data ingestion, discovery, analytics, visualization, and collaboration.
Visit WebsiteReviews onG2Capterra
15 reviews trackedThe Bottom Line
Entry price
Free, no paid tier
Biggest pro
Highly flexible due to pluggable interpreter architecture
Biggest con
Requires self-hosting and management
TL;DR - Apache Zeppelin
- Interactive notebook for data analytics and visualization.
- Supports multiple languages and integrates with various data processing backends, including Apache Spark.
- Enables real-time collaboration and embedding of results into websites.
Pricing: Free forever
Best for: Individuals & startups
3.8/5 across review platforms
What is Apache Zeppelin?
Apache Zeppelin is an open-source, web-based notebook that enables data engineers, data scientists, and business analysts to perform data-driven development interactively. It provides a collaborative environment for data ingestion, discovery, analytics, and visualization. Users can write code in multiple languages, including Apache Spark, Python, R, and SQL, within a single notebook.
The platform's interpreter concept allows for seamless integration with various data processing backends, making it highly flexible. It offers built-in Apache Spark integration, simplifying dependency management and job execution. Zeppelin also includes robust data visualization capabilities, such as pivot charts with drag-and-drop functionality, and supports dynamic forms for interactive data input.
Designed for collaboration, Zeppelin allows users to share notebooks and paragraphs, broadcasting changes in real-time similar to Google Docs. It also provides a feature to embed visualization results from individual paragraphs into external websites, making it easy to share insights with a broader audience. Being 100% open-source and Apache2 Licensed, it benefits from an active development community.
Available on: Web
Pros & Cons
Pros
- Highly flexible due to pluggable interpreter architecture
- Strong integration with Apache Spark
- Facilitates collaboration among data professionals
- Easy to share insights by embedding visualizations
- Completely free and open-source
Cons
- Requires self-hosting and management
- Embedding feature needs careful security consideration in untrusted environments
- Visualization options might be basic compared to dedicated BI tools
Ratings Across the Web
3.8(15 reviews)
Ratings aggregated from independent review platforms. Learn more
Key Features
Multi-purpose notebook interfaceSupport for multiple language backends (e.g., Spark, Flink, Python, R, JDBC, Markdown, Shell)Built-in Apache Spark integration with automatic context injection and dependency loadingBasic data visualization chartsPivot chart with drag-and-drop aggregationDynamic forms for interactive inputReal-time notebook and paragraph collaborationAbility to embed paragraph results as iframes into external websites
Pricing Plans
Open Source
Free
- Web-based notebook
- Interactive data analytics
- Collaborative documents
- Supports SQL, Scala, Python, R and more
- Spark, PySpark, Spark R, Spark SQL with dependency loader
- Connect any JDBC data sources (Postgresql, Mysql, MariaDB, Redshift, Apache Hive)
- Python with Matplotlib, Conda, Pandas SQL and PySpark integrations
- 20+ different interpreters
Reviews
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3.8/5
Across 15 verified user reviews on G2, Capterra
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Apache Zeppelin FAQ
How does Apache Zeppelin facilitate collaborative data analysis?
Apache Zeppelin provides a collaborative environment where users can share notebooks and individual paragraphs. Changes made within a notebook are broadcast in real-time, allowing multiple users to work together on data-driven projects, similar to collaborative document editing.
Which teams would benefit most from using Apache Zeppelin?
Apache Zeppelin is ideal for teams of data engineers, data scientists, and business analysts who need a shared, interactive workspace for data ingestion, discovery, analytics, and visualization. Its multi-language support and collaborative features make it suitable for interdisciplinary data teams.
How does Apache Zeppelin compare to Deepnote for data exploration?
Apache Zeppelin, unlike Deepnote, is an open-source, self-hosted solution that offers high flexibility through its pluggable interpreter architecture and strong integration with Apache Spark. It requires users to manage their own hosting, whereas Deepnote typically provides a managed cloud environment.
What kind of data analysis can be performed using Apache Zeppelin?
Apache Zeppelin supports a wide range of data analysis activities, including data ingestion, discovery, analytics, and visualization. Users can write and execute code in multiple languages like Spark, Python, R, and SQL within a single notebook to explore and process data.
Does Apache Zeppelin include a free tier?
Apache Zeppelin is completely free to use as it is 100% open-source and licensed under Apache2. There are no paid plans or subscription fees required to access its features.
What are the main considerations when deploying Apache Zeppelin?
A primary consideration for Apache Zeppelin is that it requires self-hosting and management, which means users are responsible for its deployment and maintenance. Additionally, while embedding visualizations is possible, careful security consideration is needed when sharing in untrusted environments.
How does Apache Zeppelin integrate with different data processing backends?
Apache Zeppelin integrates with various data processing backends through its interpreter concept, which allows for seamless connectivity. It offers built-in integration with Apache Spark, simplifying dependency management and the execution of Spark jobs directly within the notebook.
Source: zeppelin.apache.org