Datalore vs Google Colab
Datalore
jetbrains.com
Google Colab
colab.research.google.comSide by side
| Figure | Datalore | Google Colab |
|---|---|---|
| Price from | $29.17/mo | $8.33/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 7 | 9 |
| Spec score · Data Science Platforms | 9.2 (#1) | 9.0 (#2) |
| Spec score · Coding Playgrounds | 9.3 (#5) | 9.3 (#4) |
| Spec score · Notebook Software | 9.3 (#1) | 9.2 (#2) |
| Spec score · Data Science Analytics | 9.1 (#2) | 9.0 (#3) |
| Documentation depth | The help center includes feature guides, installation, administration, security, API tokens, Run API, agent skills and release notes. | Official documentation includes FAQs, example notebooks, release notes, API reference, Workspace administration help and Colab Enterprise documentation. |
| Free plan | Yes | Yes |
| Public API | The Run API triggers notebook execution, accepts interactive-control parameters and returns run status and artifacts. | The Colab API is a beta, allowlist-only API for programmatically managing runtimes, with REST resources for runtimes, runtime specifications, subscriptions and operations. |
| Rating on G2 | 4.8 out of 5 from 6 reviews | 4.4 out of 5 from 57 reviews |
| Support | The On-Premises plan includes enterprise-grade customer support and solution architect consultations. | Users can report bugs or ask questions through Help > Send feedback in any Colab notebook. |
| System requirements | On-Premises supports 64-bit Linux hosts; ARM, macOS and Windows hosts are unsupported, with Docker Compose or Kubernetes deployment options. | Colab runs in a supported web browser and requires the user to sign in with a Google account. |
| What it does | Datalore is a collaborative web data analytics platform for exploring, analyzing, visualizing and sharing data. | Google Colab is a browser-based hosted Jupyter notebook service for Python, machine learning, data science and education that requires no local setup. |
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
Google Colab
- Colab Pro$8.33 a month
- Colab Pro+$41.66 a month
- ColabFree
- Colab freeFree
- Colab EnterprisePriced on request
- Colab ProPrice not published
- Colab Pro+Price not published
- Colab Pro / Pro+ / Pay As You GoPriced on request
- Pay As You GoPrice not published
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.
Google Colab
Google Colab lets users write and run Python in a browser without configuring a local environment, with access to GPUs and notebook sharing. Its hosted Jupyter notebooks combine executable code with rich text, images, HTML, and LaTeX. Data can come from Google Drive, spreadsheets, GitHub, and other sources, with Google Cloud Storage, Sheets, and BigQuery resources listed for integration. Colab AI can generate or transform code, explain Python libraries, suggest fixes, and perform multi-step data-analysis workflows. By default, it does not access Drive files or user secrets, though it can generate code to access them when explicitly requested. Google says generative-AI features collect prompts, related code, outputs, usage information, and feedback; human reviewers may process that data for up to 18 months. Free notebooks can run for at most 12 hours, depending on availability and usage. Pro+ supports continuous execution up to 24 hours when enough compute units are available. Colab also has a Visual Studio Code extension and a beta, allowlist-gated API. Paid plans start at 8.33 USD/user/mo (annual).