Software Alternatives, Accelerators & Startups

Datalore VS Hex

Compare Datalore VS Hex and see what are their differences

Datalore logo Datalore

Datalore is an interactive web-based workbook for data analysis, scientific exploration and visualization in Python.

Hex logo Hex

Hex is a modern data platform for data science and analytics. Collaborative notebooks, beautiful data apps and enterprise-grade security.
  • Datalore Landing page
    Landing page //
    2022-12-17
  • Hex Landing page
    Landing page //
    2023-10-15

Datalore features and specs

  • Integrated Development Environment
    Datalore provides a sophisticated and user-friendly IDE specifically tailored for data science, offering features such as auto-completion, version control, and easy collaboration.
  • Collaboration Tools
    Allows multiple users to work simultaneously on the same notebook, enabling efficient teamwork with features like comments and real-time synchronization.
  • Built-in Libraries and Tools
    Includes pre-installed libraries essential for data analysis, machine learning, and visualization, which saves time compared to setting up environments from scratch.
  • Scalability
    Datalore can be connected to cloud computing resources, allowing users to scale their computations as needed, which is beneficial for handling large datasets.
  • JetBrains Ecosystem
    As a product of JetBrains, Datalore integrates well with other JetBrains tools and benefits from ongoing development and dedicated support.

Possible disadvantages of Datalore

  • Pricing Model
    While a free tier is available, advanced features and increased resource access require a paid subscription, which might be a barrier for some users.
  • Learning Curve
    Users not familiar with JetBrains' interfaces might find the transition to Datalore a bit challenging compared to more widely-used platforms like Jupyter.
  • Internet Dependency
    As a cloud-based service, a stable internet connection is necessary, which can be inconvenient or limiting in environments with poor connectivity.
  • Limited Offline Functionality
    Unlike local installations of Jupyter or RStudio, Datalore's functionality is limited offline, potentially restricting use cases where offline access is needed.
  • Resource Limitations on Free Tier
    The free tier has restrictions on computation time and resources, which may not be suitable for extensive or resource-intensive data analysis projects.

Hex features and specs

  • Collaboration
    Hex provides a collaborative environment where data scientists, analysts, and other stakeholders can work together in real-time, enhancing teamwork and improving productivity.
  • Integration
    Hex integrates well with various data sources and platforms, making it easier to pull in data from different systems and analyze it within a single interface.
  • Visualization
    The platform offers robust visualization tools that allow users to create interactive and insightful data visualizations, helping to communicate findings effectively.
  • User-friendly Interface
    Hex is designed with an intuitive and user-friendly interface, making it accessible for both technical and non-technical users to perform data analysis.
  • Version Control
    The platform includes version control features, which helps teams to track changes, revert to previous versions, and manage project iterations efficiently.

Possible disadvantages of Hex

  • Learning Curve
    Users may encounter a learning curve when getting started with the platform, especially if they are not familiar with data analysis tools or collaboration software.
  • Resource Intensive
    Running complex data analyses on Hex might require significant computing resources, which could be a limitation for teams with constrained budgets or infrastructure.
  • Limited Customization
    While Hex offers a variety of features, there might be limitations in terms of customization and flexibility to tailor the platform to specific organizational needs.
  • Dependence on Internet
    Being a cloud-based service, Hex requires a reliable internet connection to function effectively, which might be a challenge in areas with limited connectivity.
  • Cost
    The subscription and usage costs associated with Hex can be a concern for smaller organizations or startups that need to manage their budgets carefully.

Datalore videos

Star Trek: TNG Review - 1x13 Datalore | Reverse Angle

More videos:

  • Tutorial - Getting started with Datalore: online Jupyter notebook tutorial
  • Tutorial - Visualization Tutorial With Pyplot in Datalore by JetBrains

Hex videos

No Hex videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Datalore and Hex)
Machine Learning
100 100%
0% 0
Application And Data
0 0%
100% 100
Data Science Notebooks
60 60%
40% 40
Data Science And Machine Learning

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Datalore and Hex

Datalore Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
One of JetBrains Datalore’s advantages is its interaction with the JetBrains ecosystem of tools, which includes IDEs like PyCharm and IntelliJ. That’s also why the tool is primarily aimed at ecosystem users.
Source: lakefs.io
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
JetBrains Datalore is a cloud-based data science platform that offers many of the same features as Jupyter Notebooks, as well as a number of additional capabilities. It supports a wide variety of programming languages, including Python, R, and SQL, and provides access to powerful hardware resources, including GPUs. One of the main advantages of JetBrains Datalore is its...
Source: noteable.io

Hex Reviews

12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Hex is a cloud-based platform for data science that offers many of the same features as Jupyter Notebooks, as well as a number of additional capabilities. It supports a wide variety of programming languages, including Python, R, and Julia, and provides access to powerful hardware resources, including GPUs. Hex also has a built-in code editor and supports a wide range of...
Source: noteable.io

Social recommendations and mentions

Datalore might be a bit more popular than Hex. We know about 10 links to it since March 2021 and only 9 links to Hex. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Datalore mentions (10)

  • Plotting Financial Data in Kotlin with Kandy
    For working with datasets (loading and processing), I use Kotlin DataFrame. It is a library designed for working with structured in-memory data, such as tabular or JSON. It offers convenient storage, manipulation, and data analysis with a convenient, typesafe, readable API. With features for data initialization and operations like filtering, sorting, and integration, Kotlin DataFrame is a powerful tool for data... - Source: dev.to / about 1 year ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Datalore - Python notebooks by Jetbrains. Includes 10 GB of storage and 120 hours of runtime each month. - Source: dev.to / about 1 year ago
  • Best online course to actually learn to use Python
    Last 1/3 of course sections: More of the same really, thought I had sections where I had to install earlier iterations of Python due to incompatible libraries in some of the course sections. As ever, student comments & furious Stack Overflow searches were helpful. Also, Jupyter notebooks are introduced in this part of the course. As I'm using the Community Edition of Pycharm for the course AND the free versions... Source: about 2 years ago
  • A new take on a Jupyter interface
    - Do you know about https://datalore.jetbrains.com/? They seem to have this cool thing where you can rewind the state of the notebook using CRIU. I don't know how well this works in practice but I think it could help with experiment management, debugging and getting code to production. Source: over 2 years ago
  • New Jupyter Notebook competition
    Have you looked at Datalore, https://datalore.jetbrains.com/. Source: about 3 years ago
View more

Hex mentions (9)

  • The DuckDB Local UI
    This looks very similar to https://hex.tech/. - Source: Hacker News / about 2 months ago
  • Show HN: Briefer – multiplayer notebooks with schedules, SQL, and built-in LLMs
    Would you say this is an alternative to https://hex.tech/, or does this fill a different niche? - Source: Hacker News / 9 months ago
  • Ask HN: Who is hiring? (July 2024)
    Hex | Visualization Engineer | Remote - US | https://hex.tech/ Hex is changing the way people work with data. Our platform makes analytics workflows more powerful, collaborative, and shareable. Hex solves key pain points with today's data and analytics tooling, and is loved by thousands of users all over the world for the beautiful UI, new superpowers, and boundless flexibility. We are a tight-knit crew of... - Source: Hacker News / 10 months ago
  • Show HN: Thread – AI-powered Jupyter Notebook built using React
    Are you thinking Thread would be an open-source alternative to Hex (https://hex.tech)? I was thinking of doing something like this last year, but I couldn't figure out a good business model. Google Colab is cheap (free, $10 per month) and Hex isn't that expensive (considering the compute cost they need to cover). If you focus on local, you're going against VS Code and Jupyter. Both are free and very good. - Source: Hacker News / 11 months ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Hex - a collaborative data platform for notebooks, data apps, and knowledge libraries. Free community version with up to 3 authors and five projects. One compute profile per author with 4GB RAM. - Source: dev.to / about 1 year ago
View more

What are some alternatives?

When comparing Datalore and Hex, you can also consider the following products

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Colaboratory - Free Jupyter notebook environment in the cloud.

Mineo - Convert Python Notebooks into data apps

Deepnote - A collaboration platform for data scientists

Peliqan.io - All-in-one Data Platform

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.