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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 can handle large datasets.
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.
Pentaho Business Analytics is hard to learn and not suited for initial users as it requires knowledge of operating systems, Java, and other technical skills.
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.
Pentaho Business Analytics is priced similarly to other competitors such as QlikView and Tableau.
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.
It is a stable product, and it can handle large datasets.
| Product | Market Share (%) |
|---|---|
| Anaconda Business | 2.4% |
| Databricks | 9.3% |
| KNIME Business Hub | 7.5% |
| Other | 80.8% |
| Product | Market Share (%) |
|---|---|
| Pentaho Business Analytics | 0.6% |
| Microsoft Power BI | 8.9% |
| Tableau Enterprise | 6.2% |
| Other | 84.3% |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 2 |
| Large Enterprise | 19 |
| Company Size | Count |
|---|---|
| Small Business | 22 |
| Midsize Enterprise | 7 |
| Large Enterprise | 15 |
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.
Pentaho is an open source business intelligence company that provides a wide range of tools to help their customers better manage their businesses. These tools include data integration software, mining tools, dashboard applications, online analytical processing options, and more.
Pentaho has two product categories: There is the standard enterprise version. This is the product that comes directly from Pentaho itself with all of the benefits, features, and programs that come along with a paid application such us analysis services, dashboard design, and interactive reporting.
The alternative is an open source version, which the public is permitted to add to and tweak the product. This solution has its advantages, aside from the fact that it is free, in that there are many more people working on the project to improve its quality and breadth of functionality.
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