

Anaconda Business and Darwin compete in the data science platform category. Anaconda Business seems to have the upper hand due to its extensive library support and seamless integration with popular tools like Jupyter Notebook, offering a flexible and easy-to-integrate solution.
Features: Anaconda Business provides a flexible platform with extensive libraries supporting a wide range of data science activities, emphasizing easy integration with tools like Jupyter Notebook. Its package management and security are notable strengths. Darwin focuses on automated model-building and efficient data handling, providing interactive model maintenance and time-saving testing features.
Room for Improvement: Anaconda Business could improve in documentation clarity, multi-language cell support, and ease of cluster management. Users suggest enhancements in installation simplicity and inclusion of more libraries. Darwin should improve dataset quality assessments, user interface, and automation capabilities, with better integration for data storage and improved dashboards.
Ease of Deployment and Customer Service: Anaconda Business primarily operates on-premises but supports hybrid and private cloud environments, complemented by robust community support and generally satisfactory technical assistance. Darwin offers flexible deployment, supporting both public and private clouds, though users rarely engage with technical support directly.
Pricing and ROI: Anaconda Business is favored for being open-source and free, offering cost-effective value, especially in terms of time and cost savings due to its efficiency. Darwin, while not inherently cheap, promises significant long-term value by replacing costly data scientist roles with automated solutions, providing good ROI.
Everyone being able to work smoothly without unnecessary delays.
I have seen a return on investment; specifically, when we talk about efficiency, it's both time-saving and money-saving.
I have seen a return on investment with time saved by 50% and less downtime, allowing the team to deliver projects faster with fewer errors.
Anaconda Business customer support is very active with a quick response time.
Overall, support was reliable when we needed it, just not super-fast every single time.
The customer support for Anaconda Business provides a better approach.
As more environments or users get added, it still runs smoothly without major slowdowns.
Anaconda Business scales very well because it is built around centralized environment and package management.
Anaconda does not have scalability restrictions as it depends on the type of machine running it.
Earlier, setting up or troubleshooting conflicts could take anywhere from thirty minutes to an hour, but now most setups just work.
Anaconda Business is stable to an extent, but it sometimes crashes on systems with insufficient RAM.
It would also be nice to have clearer error messages when something fails, so it is easier to understand what went wrong without digging too much.
They should enhance the security point of view; it's good, but it needs some more advanced features.
The pricing should be a little lower for a single person to use, as it might be affordable for an organization, but for my single use, it is difficult.
Anaconda is an open-source tool, so I do not pay anything for it.
My experience with pricing, setup cost, and licensing is that it is a little costly, but it is useful.
My experience with pricing, setup cost, and licensing indicates that it is a bit costly, but it is useful.
Anaconda Business has positively impacted my organization because, when discussing the security point of view, it's exceptional; when comparing it to other solutions, Anaconda Business is superior.
We find the advanced security, governance, and collaborative features for organizations using Python and R particularly useful.
Anaconda Business positively impacts our organization by protecting us from compliance and security risks while keeping the environment consistent, allowing our team to focus on insight and innovation instead of worrying about setups, security, and software issues.
| Product | Market Share (%) |
|---|---|
| Anaconda Business | 2.6% |
| Darwin | 1.0% |
| Other | 96.4% |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 2 |
| Large Enterprise | 19 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Large Enterprise | 2 |
Anaconda Business provides a comprehensive platform for data science applications, integrating extensive libraries and seamless Python and R compatibility, enhancing developer productivity.
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.
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