Apache Zeppelin vs Deepnote
Apache Zeppelin
zeppelin.apache.orgDeepnote
deepnote.comSide by side
| Figure | Apache Zeppelin | Deepnote |
|---|---|---|
| Price from | Free | $3,920/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 3 |
| Spec score · Notebook Software | 9.0 (#3) | 8.7 (#6) |
| Spec score · Data Science Analytics | 8.8 (#4) | 8.4 (#7) |
| Collaboration | Notebook URLs can be shared with collaborators, with changes broadcast in real time; results can also be displayed in an embeddable page. | Deepnote supports collaborative notebooks, commenting on blocks, and sharing work through links or email invitations. |
| Founded | 2013 | 2019 |
| Integrations | The site describes JDBC connections to sources including PostgreSQL, MySQL, MariaDB, Redshift, and Apache Hive. | The maker lists built-in integrations including PostgreSQL, BigQuery, Amazon S3, MySQL, Snowflake, GitHub, and dbt. |
| Product | Apache Zeppelin is a web-based notebook for interactive data analytics and collaborative documents using SQL, Scala, Python, R, and other languages. | Deepnote describes itself as an AI workspace for data professionals for data analysis, exploration, and machine learning. |
| Support | The project directs users to its users mailing list for usage questions and help, and also provides a JIRA issue tracker. | Deepnote provides all customers technical support through Intercom and email on weekdays from 9 am to 5 pm Pacific Time as a minimum. |
Plans
In their own words
Apache Zeppelin
Apache Zeppelin is a web-based notebook for interactive data analytics and collaborative documents. Its pluggable interpreters support work in SQL, Scala, Python, R, and other languages, with backends including Apache Spark and Flink. Use it to ingest and explore data, analyze results, and create visualizations. Built-in charts can display output from any language backend; pivot charts support drag-and-drop aggregation. The Spark integration can provide SparkContext and SQLContext automatically, load dependencies at runtime, and show job progress or cancel jobs. Its SQL interpreter connects to JDBC sources such as PostgreSQL, MySQL, MariaDB, Redshift, and Apache Hive. Collaborators can share notebook URLs and receive changes in real time. The project documents single-user and multi-user deployments, including LDAP support. Zeppelin is open source under the Apache License 2.0 and costs nothing. It runs on Linux, macOS, self-hosted, and web environments. Anonymous access is enabled by default, so its documentation recommends configuring authentication or limiting use to a secured, trusted environment.
Deepnote
Deepnote is an AI workspace for data professionals working on data analysis, exploration, and machine learning. Its copilot can chat with data, make charts, and write code; notebooks can also become dashboards or interactive apps with live data. Teams can collaborate in notebooks, comment on blocks, and share work by link or email invitation. Notebooks can run on hourly, daily, weekly, or monthly schedules, or be deployed as APIs. Listed integrations include PostgreSQL, BigQuery, Amazon S3, MySQL, Snowflake, GitHub, and dbt. Deepnote supports Python, SQL, R, and Stata, with a hybrid execution model and notebook formats including .deepnote, .ipynb, .qmd, .py, and PDF. The free plan allows up to three editors and five projects, with seven-day revision history. Paid pricing starts at $39/user/mo (annual); a 14-day trial is listed. Deepnote says it has SOC 2 Type II certification, encrypts data at rest and in transit, and does not use customer data to improve AI or ML models.