Datalore vs JuliaHub
Datalore
jetbrains.comJuliaHub
juliahub.comSide by side
| Figure | Datalore | JuliaHub |
|---|---|---|
| Price from | $29.17/mo | — |
| Free plan | Yes | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 7 | 3 |
| Spec score · Coding Playgrounds | 9.3 (#5) | 7.8 (#75) |
| Collaboration | Real-time notebook collaboration, link or email sharing, access levels and shared workspaces are supported. | Projects supports collaboration on code, data, notebooks, packages, and resources, with Git-based change tracking and group-based permissions. |
| Purpose | Datalore is a collaborative data science platform for exploring, analyzing, visualizing, and sharing data. | JuliaHub is a cloud platform for Julia development, high-performance computing, reproducible workflows, and scalable scientific AI applications. |
| Support | The On-Premises plan includes enterprise-grade customer support and solution architect consultations. | JuliaHub offers enterprise support from its developers, engineers, and data scientists to help customers build solutions. |
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
JuliaHub
- Enterprise subscriptionPriced on request
- Standard subscriptionPriced on request
- Team subscriptionPriced on request
In their own words
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.