Anaconda Business provides a comprehensive platform for data science applications, integrating extensive libraries and seamless Python and R compatibility, enhancing developer productivity.



| Product | Market Share (%) |
|---|---|
| Anaconda Business | 2.3% |
| Databricks | 12.3% |
| KNIME Business Hub | 11.2% |
| Other | 74.2% |
| Type | Title | Date | |
|---|---|---|---|
| Category | Data Science Platforms | Nov 2, 2025 | Download |
| Product | Reviews, tips, and advice from real users | Nov 2, 2025 | Download |
| Comparison | Anaconda Business vs Databricks | Nov 2, 2025 | Download |
| Comparison | Anaconda Business vs Amazon SageMaker | Nov 2, 2025 | Download |
| Comparison | Anaconda Business vs KNIME Business Hub | Nov 2, 2025 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Databricks | 4.1 | 12.3% | 96% | 91 interviewsAdd to research |
| KNIME Business Hub | 4.1 | 11.2% | 94% | 60 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 2 |
| Large Enterprise | 13 |
| Company Size | Count |
|---|---|
| Small Business | 61 |
| Midsize Enterprise | 42 |
| Large Enterprise | 196 |
Anaconda Business offers data science professionals a platform combining extensive library support with pre-built models and seamless integration of Python and R environments. With features like a user-friendly interface and integrated Jupyter Notebook, it facilitates real-time code execution and debugging. Environmental management is simplified via Conda, while cloud-based access and package management enhance user experience. Community support and integration with applications like RStudio and Jupyter aid in data science and deep learning tasks.
What are the key features of Anaconda Business?Anaconda Business is widely used in industries like machine learning and data analysis, where it's employed for tasks such as predictive modeling and data visualization. Organizations utilize its compatibility with tools like Scikit-learn and TensorFlow for creating statistical models, supporting applications in fields such as analytics, education, subrogation, and warehouse management.
LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
| Author info | Rating | Review Summary |
|---|---|---|
| Analyst at Tata consultancy services | 4.0 | I've used Anaconda Business for a year to ensure secure, compliant package management; it’s improved productivity and setup speed, though faster updates and better collaboration tools would help. Overall, it's effective despite being somewhat costly. |
| Product managaer at Zidio development | 5.0 | I've found Anaconda Business highly effective for client work and startups, especially in data management and security, though adding more advanced security features would help. It's stable, scalable, and delivers strong ROI in both time and cost savings. |
| VP Product at Medint | 4.0 | No summary available |
| Senior Consultant at a tech vendor with 1,001-5,000 employees | 3.5 | I've used Anaconda Business for basic data cleaning in Python, and it's been seamless and stable. It's easy to manage environments, and though I haven't seen major efficiency gains, it reliably supports my daily work. |
| Product Engineer at a tech vendor with 10,001+ employees | 5.0 | I use Anaconda Business mainly for AI development and data analytics with Python. Its scalability and security features are great, but the pricing is high for personal use. Overall, I’m satisfied and would recommend it. |
| Automation Test Engineer at Tata Consultancy services Limited | 4.5 | I've used Anaconda Business for a year to manage packages securely and centrally, improving team productivity, compliance, and consistency across projects, though performance could be faster; overall, it's scalable, stable, and integrated well into our enterprise environment. |
| Cluster Manager - Risk at a financial services firm with 10,001+ employees | 4.0 | In my experience, Anaconda struggles with heavy workloads, and I wish it could integrate with Databricks for better enterprise-level data handling. While Databricks handles large data well, Anaconda is preferable for development due to lower computing costs. |
| AI/ML Co-Lead at Developer Student Clubs - GGV | 5.0 | I started using Anaconda during my first year to learn Python on a MacBook with an M1 chip. Anaconda simplifies creating environments for multiple projects, but it's behind in automated data cleaning and could benefit from a graphical user interface. |