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
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.com