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Datalore VS Analytics Bridge

Compare Datalore VS Analytics Bridge and see what are their differences

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Datalore logo Datalore

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

Analytics Bridge logo Analytics Bridge

Analytics Bridge empowers teams with your own AI data analyst for instant data insights, query suggestions, and seamless collaboration.
  • Datalore Landing page
    Landing page //
    2022-12-17
  • Analytics Bridge
    Image date //
    2025-02-26

Analytics Bridge is a collaborative data analytics platform where teams can raise data requests, share SQL queries, and document insights. With Ask Anaya, an AI-powered data analyst, users get instant answers, query suggestions, and automated insights. It streamlines analysis, enhances collaboration, and ensures seamless data-driven decision-making.

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.

Analytics Bridge features and specs

  • Ask Anaya
    AI-powered data analyst for instant data insights, query suggestions, and automated analysis.
  • Collaborative Analytics
    Chat-like interface for teams to raise data requests, share SQL queries, and discuss insights.
  • Seamless Database Integration
    Connect directly to databases for real-time data access and streamlined analysis.

Datalore videos

+ Add

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

Analytics Bridge videos

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

Add video

Category Popularity

0-100% (relative to Datalore and Analytics Bridge)

Datalore

Analytics Bridge

Machine Learning
100 100%
Machine Learning
0% 0
AI
0 0%
AI
100% 100
Data Science Notebooks
100 100%
Data Science Notebooks
0% 0
Data Analysis
0 0%
Data Analysis
100% 100

Questions and Answers

As answered by people managing Datalore and Analytics Bridge.

How would you describe your primary audience?

Analytics Bridge's answer:

Analytics Bridge is designed for data-driven teams and professionals who need a seamless way to collaborate on analytics, automate insights, and document findings efficiently.

  1. Data Analysts & Scientists – Streamline SQL queries, get AI-powered insights, and maintain a structured history of analyses.
  2. Business Teams & Decision-Makers – Access real-time data insights without deep technical knowledge, enabling faster decision-making.
  3. Product & Growth Teams – Track key metrics, collaborate on ad-hoc analyses, and improve data accessibility across teams.
  4. Engineering & BI Teams – Integrate directly with databases, optimize workflows, and reduce redundant data requests.

Whether you’re a startup, enterprise, or data-driven organization, Analytics Bridge simplifies analytics, enhances collaboration, and ensures insights are always documented.

What makes your product unique?

Analytics Bridge's answer:

Analytics Bridge stands out by combining AI-powered insights, seamless collaboration, and real-time database connectivity—all in one platform.

  1. Ask Anaya – AI-Powered Assistance 🧠🚀 : Get instant query suggestions, automated insights, and smart recommendations, reducing time spent on analysis.
  2. Chat-Like Collaboration with Documentation 💬📊 : Unlike traditional BI tools, teams can raise data requests, share SQL queries, and document discussions in a structured manner.
  3. Direct Database Connectivity 🔗⚡: Query databases in real time without switching between multiple tools, making data retrieval seamless and efficient.
  4. Built for Ad-Hoc Analysis ⏳🔍: Eliminates the frustration of restarting analyses by maintaining a well-documented history of requests, queries, and insights.

With Ask Anaya leading the way, Analytics Bridge isn’t just another BI tool—it’s a smarter, faster, and more collaborative way to analyze data. 🚀

Who are some of the biggest customers of your product?

Analytics Bridge's answer:

  • Tech Startups optimizing product analytics and growth strategies.
  • E-commerce Companies tracking sales, retention, and customer behavior.
  • Finance & Investment Firms analyzing real-time market data and trends.
  • Marketing Agencies measuring campaign performance and audience insights.
  • BI & Data Teams automating SQL queries and centralizing documentation.

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 Analytics Bridge

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

Analytics Bridge Reviews

We have no reviews of Analytics Bridge yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Datalore seems to be more popular. It has been mentiond 10 times since March 2021. 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

Analytics Bridge mentions (0)

We have not tracked any mentions of Analytics Bridge yet. Tracking of Analytics Bridge recommendations started around Feb 2025.

What are some alternatives?

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

Colaboratory - Free Jupyter notebook environment in the cloud.

Hex - Hex is a modern data platform for data science and analytics. Collaborative notebooks, beautiful data apps and enterprise-grade security.

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.

Deepnote - A collaboration platform for data scientists

SafeBet.ai - Daily AI sports picks generated by artificial intelligence. SafeBet.ai helps you analyze all NBA, NFL, MLB, UFC and soccer games. It has a massive database by having analyzed all the games in the past 3 years. Use AI to improve your sports bets.

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.

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