Apache Zeppelin

Overview

Apache Zeppelin is a web-based notebook for interactive analytics and shared data documents, built around pluggable interpreters. It suits teams that want SQL, Scala, Python, R, and processing backends in one self-hosted workspace; its breadth is useful, but administrators must take responsibility for deployment and access security.

Key features

Zeppelin brings Spark, Flink, Python, R, JDBC, Markdown, and Shell into a single notebook through interpreters. That makes it a practical choice for teams combining queries, scripts, and distributed processing, rather than maintaining separate notebook environments for each. The flexibility comes with setup work: the Spark-focused net-install package includes only Spark by default, so other interpreters need to be added with its installation script.

For Spark, automatic SparkContext and SQLContext injection, runtime dependency loading, and job cancellation and progress display reduce setup friction and help users keep track of running work. The SQL interpreter connects to JDBC sources including PostgreSQL, MySQL, MariaDB, Redshift, and Apache Hive.

Built-in charts can visualize output from any language backend, and pivot charts support drag-and-drop aggregation. These are useful for inspecting and summarizing results in the notebook, though the described tools are basic charts rather than a full standalone visualization environment.

Collaborators can share notebook URLs, with changes broadcast in real time; version history is supported. That makes shared analysis more practical than passing documents back and forth. Zeppelin also supports JSON and .zpln notebook formats.

The project offers binary packages, source code, and a Docker launch command for version 0.12.1. Its 0.12.1 release includes fixes for JWT validation, path traversal hardening, and a WebSocket memory leak. Community support runs through a mailing list and Jira issue tracker.

Pricing

Apache Zeppelin costs nothing under the Apache License 2.0 and is self-hosted software. There is no paid tier or trial to weigh against the free plan; the cost is in deploying and maintaining the environment yourself. Teams can choose packages with all interpreters or a smaller Spark-focused net-install package, but the latter requires separate installation of other interpreters.

Platforms

Zeppelin supports Linux and macOS, with a web interface and self-hosted deployment. The project documents both single-user and multi-user setups, including multi-user support with LDAP. Its hybrid execution model and support for GPU compute are relevant to teams evaluating notebook workloads, although the project facts do not describe specific GPU configuration options.

Who it's for

Zeppelin is a strong fit for data teams that can operate their own notebook service and want one environment for SQL, Spark, Flink, and general-purpose languages. Its real-time collaboration and multi-user deployment options suit shared work, while the range of interpreters is most valuable where teams will configure the backends they actually use.

It is a weaker fit for people seeking a hosted notebook ready to use without administration. Anonymous access is enabled by default, so a shared deployment needs deliberate security configuration; the project recommends Apache Shiro authentication or limiting use to a secured, trusted environment. Security options include LDAP and Active Directory realms, Knox SSO, Kerberos-based SPNEGO authentication, roles, groups, permissions, and secure session cookies.

Pros and cons

• Pros: Broad interpreter support combines data querying, scripting, and processing backends in one notebook environment.
• Pros: Spark-specific dependency handling, context injection, cancellation, and progress display address common workflow needs without limiting Zeppelin to Spark.
• Pros: Shared URLs, live change broadcasts, and version history support collaborative notebook work.
• Cons: Self-hosting requires deployment and maintenance, making Zeppelin less suitable for teams that want a hosted service.
• Cons: Anonymous access is the default, so administrators must configure authentication or keep the deployment within a secured, trusted environment.
• Cons: The Spark-focused net-install package starts with only Spark, leaving users to install other needed interpreters separately.

Alternatives

Choose marimo if you want a free, open-source notebook with Linux, macOS, Windows, web, and API support. Deepnote may suit teams looking for a hosted freemium option: its free plan allows up to 3 editors and 5 projects, with unlimited Basic machines subject to a 5-hour limit.

Paperspace Notebooks is worth considering when included storage and free CPU and GPU machines matter; its free machines are limited to notebooks in private workspaces. Pluto.jl is another free, open-source option, under the MIT license. SageMath is a free open-source choice that can be installed on unlimited computers and downloaded or redistributed.

Datalore has a free cloud plan with 120 CPU S machine hours, 10 GB of cloud storage, and two notebooks running in parallel. Dnote is a free, open-source alternative with an optional self-hosted server. JupyterHub is a free open-source option for self-hosting on cloud infrastructure or your own hardware. Browse more options in Notebook Software.

Verdict

Choose Apache Zeppelin if your team wants a free, self-hosted notebook spanning SQL and multiple language and processing backends, and can manage deployment and access controls. Its interpreter range, Spark integration, and live collaboration make it a capable shared workspace; look elsewhere if you need a hosted notebook or want to avoid configuring security around a service that allows anonymous access by default.