About Datalore
Datalore is a data analysis software from JetBrains that supports exploring, analyzing, visualizing, and sharing data. It combines flexible data integration, assisted coding, and automation to help teams collaborate effectively on data-driven projects. Datalore allows users to import data from various sources, write code in Python and R, and create interactive visualizations easily. The platform includes features for version control and collaborative editing, making it suitable for data teams to work together in real time. Key capabilities: data integration code assistance automation tools interactive visualizations collaborative workspaces Best for: data teams that need a platform for comprehensive data exploration and analysis.
**Datalore by JetBrains** is a collaborative data science and analytics platform tailored for data analysts, data scientists, and teams working with Python. Developed by JetBrains—renowned for tools like PyCharm and IntelliJ IDEA—Datalore blends interactive coding, data visualization, and advanced data manipulation into a web-based environment. Its core mission is to streamline exploratory data analysis and reporting through a seamless notebook experience, supported by intelligent code completion, real-time collaboration, and built-in integrations with popular data sources. The **user interface** of Datalore is modern, clean, and intuitive. Upon entering the platform, users are greeted with a notebook-based interface reminiscent of Jupyter, but far more polished and feature-rich. Syntax highlighting, automatic code suggestions, and inline documentation significantly enhance productivity. Datalore includes a file browser, environment manager, and a built-in data viewer, all accessible from side panels without cluttering the workspace. Notably, Datalore supports both Python and SQL within the same notebook, allowing seamless switching for different types of data tasks. The ability to pin visual outputs and build dashboard-like views from notebook cells also makes it uniquely suited for sharing insights with stakeholders.
Pros & Cons
- Real-time co-editing, shared workspaces, and granular permissions facilitate efficient team-based data science.
- Combines notebook functionality with data connectivity (SQL, S3, etc.) and smart coding assistance, reducing tool-switching.
- Simplifies the process of turning analytical notebooks into interactive, shareable dashboards for non-technical stakeholders.
- Familiar .ipynb format combined with advanced features like intelligent coding assistance and automatic visualizations.
- Offers access to various CPU and GPU configurations, suitable for both small analyses and large-scale ML model training.
- The Free tier is limited, and many desirable features like Datalore AI, unlimited parallel notebooks, and extensive storage are behind a paywall.
- While Jupyter-compatible, new users might need time to fully utilize Datalore's unique features and integrations.
- While "Coming soon," the current lack of full Git integration might be a hurdle for teams heavily reliant on Git for version control.
- The Cloud version relies on JetBrains' infrastructure, which might not be ideal for organizations with strict data residency requirements (though
- While offering various language supports, its core strength lies within the Python/Jupyter ecosystem, potentially less appealing for teams primarily using other environments.
Features
Key features
Share notebooks and see live changes to code, enabling seamless teamwork. This is a crucial feature for data science teams working on projects together.
Transform notebooks into interactive, dashboard-style applications with a few clicks, allowing for easy sharing of insights with stakeholders without requiring coding knowledge from the viewers.
Connect to a wide range of data sources including AWS S3, Google Cloud, various file types, and any database (PostgreSQL, Snowflake, MySQL), eliminating the need to switch between multiple tools.
Access CPU and GPU resources for training ML/DL models and manage environments with preconfigured pip and conda setups, providing flexibility and power for complex analytical tasks.
Track progress with history checkpoints, compare versions, and organize team projects in shared workspaces, ensuring project integrity and streamlined team management.
Additional features
Offers coding assistance for Python (powered by PyCharm), SQL (powered by DataGrip), Kotlin, Scala, and R Language.
Supports working with familiar .ipynb files.
Provides access to powerful cloud and on-premises machines for model training.
Generates out-of-the-box charts like line, point, bar, area, and correlation.
Allows starting from preconfigured and isolated pip and conda environments, with customization options.
Enables making notebooks interactive with dropdowns, sliders, inputs, and ipywidgets.
Provides essential descriptive statistics for dataframes with one click.
Facilitates sharing across the platform.
Helps in structuring and managing team projects.
Allows sharing notebooks and seeing live changes to code.
Pricing
Monthly plans
Countries & Languages
Interface languages
Billing currencies
No reviews yet
Be the first to drop a review
Alternatives to Datalore
Virtual Eye (Sports Graphics)
Virtual Eye is a leading sports technology and broadcast solutions company that transforms live sporting…
Power BI
Power BI is a business intelligence software from Microsoft that helps users visualize data into…
Harmony
Harmony is a data integration software from Zenysis Technologies that facilitates the unification of diverse…
Dataphyte Platform
Dataphyte Platform is a data software from Dataphyte that focuses on answering socioeconomic questions with…
Spot something wrong or outdated?
Suggest a correction — a reviewer verifies every change.
About Datalore
Datalore is a data analysis software from JetBrains that supports exploring, analyzing, visualizing, and sharing data. It combines flexible data integration, assisted coding, and automation to help teams collaborate effectively on data-driven projects. Datalore allows users to import data from various sources, write code in Python and R, and create interactive visualizations easily. The platform includes features for version control and collaborative editing, making it suitable for data teams to work together in real time. Key capabilities: data integration code assistance automation tools interactive visualizations collaborative workspaces Best for: data teams that need a platform for comprehensive data exploration and analysis.
Datalore Details
Datalore's In-App Market Place
Does Datalore have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Plans
Monthly plans
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (Fr)
Pros & Cons
- Real-time co-editing, shared workspaces, and granular permissions facilitate efficient team-based data science.
- Combines notebook functionality with data connectivity (SQL, S3, etc.) and smart coding assistance, reducing tool-switching.
- Simplifies the process of turning analytical notebooks into interactive, shareable dashboards for non-technical stakeholders.
- Familiar .ipynb format combined with advanced features like intelligent coding assistance and automatic visualizations.
- Offers access to various CPU and GPU configurations, suitable for both small analyses and large-scale ML model training.
- The Free tier is limited, and many desirable features like Datalore AI, unlimited parallel notebooks, and extensive storage are behind a paywall.
- While Jupyter-compatible, new users might need time to fully utilize Datalore's unique features and integrations.
- While "Coming soon," the current lack of full Git integration might be a hurdle for teams heavily reliant on Git for version control.
- The Cloud version relies on JetBrains' infrastructure, which might not be ideal for organizations with strict data residency requirements (though
- While offering various language supports, its core strength lies within the Python/Jupyter ecosystem, potentially less appealing for teams primarily using other environments.
Datalore's Support Options
Email Address
sales@jetbrains.comDatalore's Alternatives
Virtual Eye (Sports Graphics)
Virtual Eye is a leading sports technology and broadcast solutions company that transforms live sporting…
Power BI
Power BI is a business intelligence software from Microsoft that helps users visualize data into…
Harmony
Harmony is a data integration software from Zenysis Technologies that facilitates the unification of diverse…
Dataphyte Platform
Dataphyte Platform is a data software from Dataphyte that focuses on answering socioeconomic questions with…
