Plotly vs Birst

Struggling to choose between Plotly and Birst? Both products offer unique advantages, making it a tough decision.

Plotly is a Data Visualization solution with tags like python, r, javascript, excel, data-analysis, data-visualization, interactive, charts, graphs, dashboards.

It boasts features such as Interactive data visualization, Support for Python, R, JavaScript, Excel, 2D and 3D plotting, Statistical charts, Dashboards, Collaboration tools, Exporting and sharing and pros including User-friendly, High-quality visualizations, Cross-platform compatibility, Open source and free, Large gallery of examples, Active community support.

On the other hand, Birst is a Business & Commerce product tagged with analytics, bi, business-intelligence, cloud, dashboards, data-visualization, data-warehousing, reporting.

Its standout features include Cloud-based BI and analytics platform, Data warehousing and ETL, Ad-hoc reporting and dashboards, Data visualization and discovery, Predictive analytics and machine learning, Pre-built connectors and templates, Mobile BI apps, Embedded BI capabilities, Collaboration tools, and it shines with pros like Intuitive drag-and-drop interface, Quick deployment with pre-built templates, Scalable cloud infrastructure, Real-time data analytics, Embedded BI simplifies distribution, Broad range of data connectivity, Strong visualization and dashboarding, Collaborative analytics.

Feature	Plotly	Birst
Overall Score	N/A	N/A
Primary Category	Data Visualization	Business & Commerce

Product Overview

Plotly

Description: Plotly is an open-source graphing library for Python, R, JavaScript, and Excel. It allows users to create interactive, publication-quality graphs, charts, and dashboards that can be embedded in websites and apps. Plotly is useful for data analysis and visualization.

Birst

Description: Birst is a cloud-based business intelligence and analytics platform that helps organizations visualize and analyze data to gain insights. It offers data warehousing, reporting, and dashboards.

Key Features Comparison

Plotly Features

• Interactive data visualization
• Support for Python, R, JavaScript, Excel
• 2D and 3D plotting
• Statistical charts
• Dashboards
• Collaboration tools
• Exporting and sharing

Birst Features

• Cloud-based BI and analytics platform
• Data warehousing and ETL
• Ad-hoc reporting and dashboards
• Data visualization and discovery
• Predictive analytics and machine learning
• Pre-built connectors and templates
• Mobile BI apps
• Embedded BI capabilities
• Collaboration tools

Pros & Cons Analysis

Plotly

Pros

• User-friendly
• High-quality visualizations
• Cross-platform compatibility
• Open source and free
• Large gallery of examples
• Active community support

Cons

• Steep learning curve
• Limited customization compared to matplotlib
• Online dependency for full functionality
• Freemium pricing model limits features

Birst

Pros

• Intuitive drag-and-drop interface
• Quick deployment with pre-built templates
• Scalable cloud infrastructure
• Real-time data analytics
• Embedded BI simplifies distribution
• Broad range of data connectivity
• Strong visualization and dashboarding
• Collaborative analytics

Cons

• Can be expensive for smaller businesses
• Limited customization of some features
• Less flexibility than open-source BI
• Requires training for full utilization
• Not ideal for complex data modeling

Pricing Comparison

Plotly

• Freemium
• Subscription-based

Birst

• Subscription-Based