Apache Zeppelin vs Datalore
Apache Zeppelin
zeppelin.apache.orgDatalore
jetbrains.comSide by side
| Figure | Apache Zeppelin | Datalore |
|---|---|---|
| Price from | Free | $29.17/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 7 |
| Spec score · Notebook Software | 9.0 (#3) | 9.3 (#1) |
| Spec score · Data Science Analytics | 8.8 (#4) | 9.1 (#2) |
| Collaboration | Notebook URLs can be shared with collaborators, with changes broadcast in real time; results can also be displayed in an embeddable page. | Real-time notebook collaboration, link or email sharing, access levels and shared workspaces are supported. |
| Deployment | The project documents single-user and multi-user deployments, including multi-user support with LDAP. | Datalore On-Premises supports Docker Compose or Kubernetes deployment on 64-bit Linux and does not support ARM, macOS, or Windows hosts. |
| Founded | 2013 | 2000 |
| Purpose | Apache Zeppelin is a web-based notebook for interactive data analytics and collaborative documents. | Datalore is a collaborative data science platform for exploring, analyzing, visualizing, and sharing data. |
| Support | The project directs users to its users mailing list for usage questions and help, and also provides a JIRA issue tracker. | The On-Premises plan includes enterprise-grade customer support and solution architect consultations. |
Plans
Datalore
- Cloud FreeFree
- Cloud$35 a month
- Cloud FreeFree
- Cloud annual$29.17 a month
- Cloud$35 a month
- Cloud$350.04 a year
- On-PremisesPriced on request
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.
Datalore
Datalore is a collaborative data science platform for exploring, analyzing, visualizing and sharing data. Its Jupyter-compatible notebooks provide coding assistance for Python, Kotlin, Scala and R, with native SQL cells that can transfer query results into pandas DataFrames. Teams can edit code together in real time and share notebooks with view or edit access. Notebooks can become data stories or static and interactive reports. Datalore AI can help write Python, SQL and R code, describe findings and fix errors. Database connections include Amazon Redshift, Azure SQL Database, MariaDB, MySQL, Oracle, PostgreSQL and Snowflake; AWS S3 and Google Cloud Storage buckets can be mounted as notebook folders. The free plan includes 120 CPU S machine hours and 10 GB of cloud storage. The Cloud plan costs $35 a month, billed monthly. On-Premises deployment runs on 64-bit Linux using Docker Compose or Kubernetes, but not on ARM, macOS or Windows hosts. JetBrains states that Datalore deployments are SOC 2 Type II certified and GDPR compliant.