# Datalore Reviews
**Vendor:** JetBrains  
**Category:** [Other Development Software](https://www.g2.com/categories/other-development)  
**Average Rating:** 4.8/5.0  
**Total Reviews:** 6
## About Datalore
Datalore is a collaborative, web-based data analytics platform that provides a great notebook experience and empowers teams to explore, analyze, and visualize data together. It simplifies insight delivery with shared notebooks, AI-assisted coding, and seamless data connections, enabling impactful, engaging data storytelling. Datalore offers flexible deployment options (both cloud-based and on-premises), secure authentication, and GDPR/SOC 2 Type II compliance to keep your data safe.



## Datalore Pros & Cons
**What users like:**

- Users appreciate the **intuitive and user-friendly interface** of Datalore, enhancing their overall data processing experience. (2 reviews)
- Users value the **seamless cloud management** capabilities of Datalore, enhancing collaboration and data accessibility effortlessly. (1 reviews)
- Users value the **cross-platform compatibility** of Datalore, enhancing collaboration and seamless access across different devices. (1 reviews)
- Users praise the **extremely quick tech support** of Datalore, highlighting their effective and timely issue resolution. (1 reviews)
- Users commend the **easy integrations** of Datalore, enhancing data processing and collaboration effortlessly. (1 reviews)
- Users love Datalore for its **powerful visualization and real-time collaboration** , enhancing productivity and teamwork in data science projects. (1 reviews)
- Flexibility (1 reviews)
- Helpful (1 reviews)
- Security (1 reviews)
- Team Collaboration (1 reviews)

**What users dislike:**

- Users face **connectivity issues** with spot instances, limiting access to compute options and affecting usability. (1 reviews)
- Users find Datalore to be **expensive** and expect better access to spot instances given the high costs. (1 reviews)
- Users face **login issues** with accessing spot instances, impacting their ability to optimize resources effectively. (1 reviews)
- Users express frustration with **poor search functionality** , making it difficult to quickly find necessary information in Datalore. (1 reviews)

## Datalore Reviews
  ### 1. Great experience overall! Wish they updated Python version.

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Industrial Automation | Small-Business (50 or fewer emp.)

**Reviewed Date:** March 28, 2025

**What do you like best about Datalore?**

-Great type-hinting and code completion you would expect from a JetBrains IDE.
-Great integration of external code repositories, with easy management of SSH keys. This has enabled us to accelerate our data processing by easy access to git managed tooling within Datalore.
-Reports and widgets generally within notebooks are great tools for creating simple scripts for a non-coder to execute to analyse data and produce results when desired. This has enabled us to free up data scientist resources for simple requests to reprocess similar data over and over.
-Cloud storage integration mounts storage onto the notebook making accessing data as simple as accessing local data is!
-Tech support is extremely quick to resolve a problem. Recently I opened a ticket about a specific install issue relating to a custom repo we had made. Within a couple days the tech support team had identified the issue with Datalore (conflicting Python versions) and rolled out a patch to fix the issue. Cannot beat the speed and effectiveness of their tech support - only praise!
-Billing is easy to keep track of, especially with itemised cost and storage usage that can be exported as a .csv for analysis (with a Datalore notebook itself).
-Database connection is as easy to setup as cloud storage. SQL cells are easy to use. We did find they ran quite slow, making them not useful for accessing larger databases and resulted to 'pandas' access manually. However I believe a patch sped these up, and I believe it was significant - though we have only utilised it in a limit capacity since the update.
-Notebook sheets and table of contents in particular, allow for easy organisation of notebooks via markdown headers that show on the ToC - making navigation of larger notebooks easy.
-Collaboration is great due to web-hosting of notebooks, allowing multiple users to edit a notebook simultaneously without any conflicts.

**What do you dislike about Datalore?**

-Python version is at 3.8 on notebooks. Have wanted to see a more modern version or options for a while, and despite plans to support multiple version from Datalore for over a year this hasn't happened.
-There are often issues accessing spot instances regularly for the CPU-XL tier forcing usage of on-demand or alternative computes, making spot CPU-XL almost unusable for us as an option.
-Minor gripe: markdown has spellchecking but cannot right click to fix the typo.
-On a wishlist: would like reports to be able to rerun a subsection of a notebook when called to (maybe a button widget), rather than having to rerun the entire notebook: this makes interactive reports unusable when having to load or process large data (since this is only needed once but reruns every small change).

**What problems is Datalore solving and how is that benefiting you?**

Our business needs to process lots of raw data (physical signals), analyse and draw conclusions. We used to use a custom image on EC2 ourselves but Datalore provides a far more seamless service, and at a lower price (since compute can be changed on a notebook whenever needed) that we switched. Please see the pros list for more ways it benefits us.

  ### 2. Professional and Flexible Data Science Tool

**Rating:** 5.0/5.0 stars

**Reviewed by:** Nico Julian F. | Software Engineer, Small-Business (50 or fewer emp.)

**Reviewed Date:** April 15, 2025

**What do you like best about Datalore?**

It's very flexible and transparent wrt pricing.
The notebooks are reliable, and the overall look and feel is very intuitive and user friendly.

**What do you dislike about Datalore?**

Spot instances are rare, but I guess thats more of a problem of the backend orchestrator than Datalore itself. Nevertheless I'd expect more access to spot instances since the service in itself is not cheap.

**What problems is Datalore solving and how is that benefiting you?**

It's a reliable tool to do data science, crunch numbers, work on papers/thesis/business data.
It allows quick and flexible access to powerful CPU and GPU servers to crunch data quickly.

  ### 3. Riyadh Saudi Arabia

**Rating:** 5.0/5.0 stars

**Reviewed by:** Noha N. | محلل, Small-Business (50 or fewer emp.)

**Reviewed Date:** September 24, 2024

**What do you like best about Datalore?**

Easy to use , amazing data visulzation especial for beginners

**What do you dislike about Datalore?**

Nothing Ites frist platform I use I  applyine frist Analysis for my data

**What problems is Datalore solving and how is that benefiting you?**

When I face any problem, i found the support that was characterised by speed and the availability of all the libararies in python is superior to many platform in that time  I use it for Awhole yers my be more

  ### 4. Datalore Redefining Reporting

**Rating:** 4.5/5.0 stars

**Reviewed by:** NAYAN  K. | Data Scientist, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 14, 2024

**What do you like best about Datalore?**

Interactive terminal with gpu and easy to create a report. Handy tool for complex Data Analysis tasks as well as coding. i like working on it.

**What do you dislike about Datalore?**

It should have pylance support with multi turn accessibility for vars reference as in vscode

**What problems is Datalore solving and how is that benefiting you?**

Data Analytics and Reporting

  ### 5. Review on Datalore

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Banking | Small-Business (50 or fewer emp.)

**Reviewed Date:** February 21, 2024

**What do you like best about Datalore?**

I have tried and worked on various platforms for my Data Science practice, Intern tasks, and other general tasks, but what I discovered recently became my absolute favorite i.e., Datalore platform. It is easy to use and implement. It provides Smart Coding Assistance(it offers intelligent code completion, suggestions, and refactoring tools for Python, R and other languages making coding smoother and less prone to errors). It is Jupyter Compatibility. It provides Powerful Visualization by  creating interactive and informative plots and charts directly within the work environment. And lastly it has Real-Time Collaboration i.e., Work together with colleagues on notebooks and share results and analyses in real time. It is easy to integrate and I have used it frequently.

**What do you dislike about Datalore?**

There is nothing to dislike about Datalore pltform.

**What problems is Datalore solving and how is that benefiting you?**

I worked on a project assigned to me by Almabetter where I used Datalore Platform to complete the Machine Learning Project. Since it has Jupyter Notebook compatabilty I tried using and it was really good. It offers intelligent code completion, suggestions for Python (Python is the coding language I used in my project).

  ### 6. Jetbrains' best Online Jupyter Notebook

**Rating:** 4.5/5.0 stars

**Reviewed by:** Deep S. | Data Science Trainee, Small-Business (50 or fewer emp.)

**Reviewed Date:** March 08, 2023

**What do you like best about Datalore?**

Datalore is the best online jupyter notebook I have used till date, it has got lots of features unlike its competitor Colab, datalore can execute SQL code within jupyter notebook, it has got a neat hierarchy and a great user interface, visualizations and data exploration are inbuilt as well. The files stay in the runtime and do not get refreshed often which is a great feature., Plus the enterprise edition has got analyticsSQL, analyticsPython analytics and scalable infrastructure data integrations which makes life easier!

**What do you dislike about Datalore?**

The machines provided in datalore are a bit slower to low and sometimes initialization takes longer than usual which is sometimes buggy, apart from this all the feaures are helpful!

**What problems is Datalore solving and how is that benefiting you?**

Datalore  helps me solve problems related to my personal projects, Machine learning hackathon problem statements, making notes for my colleagues, Presenting exploratory data analysis and sharing them with my  peers.



- [View Datalore pricing details and edition comparison](https://www.g2.com/products/datalore/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-13+11%3A15%3A26+-0500&secure%5Bsession_id%5D=7ac03928-d87f-4219-a3fe-15f76764251b&secure%5Btoken%5D=70ca10cbea4586d32b028ebd50c4fc66aa3316dd57f94ce46550f07b0daf9999&format=llm_user)


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