I use Anaconda for predictions, building models, and incorporating them within the product for specific use cases.
External reviews
External reviews are not included in the AWS star rating for the product.
Software engineer
A good platform. Using a secure platform for DS needs is a good to have
Open source platform empowers seamless integration and efficient package management
What is our primary use case?
What is most valuable?
Anaconda is an open-source platform that can integrate numerous other kits and models in one place. It offers effective package management capabilities that are beneficial. By having control over the integrations, I can do them myself without limitations.
What needs improvement?
There is room for improvement, especially regarding deployment. The process could be streamlined as the number of actions needed to deploy is quite large compared to other tools.
For how long have I used the solution?
I have been using Anaconda for the past eight or nine years.
What do I think about the stability of the solution?
The stability of Anaconda is comparable to other tools used in data science. There are always performance issues within data science, but Anaconda is not different from others.
What do I think about the scalability of the solution?
Anaconda does not have scalability restrictions as it depends on the type of machine running it.
How are customer service and support?
I have no experience with Anaconda's technical support.
How would you rate customer service and support?
Neutral
Which solution did I use previously and why did I switch?
What's my experience with pricing, setup cost, and licensing?
Anaconda is an open-source tool, so I do not pay anything for it. It is compatible with every tool, regardless of whether it is open source or a paid package.
Which other solutions did I evaluate?
I have previously used Dataiku, H2O.ai, and Databricks for data science solutions.
What other advice do I have?
The biggest disadvantage is the amount of time needed for deployment to production. My overall experience with Anaconda is positive, and I would rate it an eight out of ten.
A great tool for python and for libraries like panda, numpy
Very good management of IDE's
Anaconda is smooth, especailly with a mac
Best sourcing platform
One place for my dev shop
Using anaconda as machine learning beginner
Unified platform for efficient coding and machine learning
What is our primary use case?
How has it helped my organization?
Anaconda has been very beneficial for our organization. The integration between different utility projects and the overall efficiency for data science and machine learning tasks has been very helpful. It provides a coding environment that saves time in setting up individual tools.
What is most valuable?
Anaconda has multiple valuable features. It provides a unified platform where you can install Jupyter, Python Spider, and other related tools without needing separate installations. The ability to work on multiple programming languages like Python, R, and Ruby is also significant. One of the best aspects is the community support.
What needs improvement?
Anaconda consumes a significant amount of processing memory when working on it. This is something that needs improvement as it can impact performance.
For how long have I used the solution?
I have been using Anaconda for four years.
What do I think about the stability of the solution?
Anaconda is stable ninety percent of the time. However, there are occasional delays due to high memory consumption.
What do I think about the scalability of the solution?
There is generally no need to scale Anaconda. The tool has minimum system requirements that need to be met for optimal performance.
How are customer service and support?
Anaconda has great community support, and its technical support is also helpful.
How would you rate customer service and support?
Positive
How was the initial setup?
The initial setup of Anaconda is straightforward. One person is enough for the installation and deployment.
What was our ROI?
Anaconda is cost-saving as it is open-source and the installation is easy. There is no need for a pricing structure for the basic version.
What's my experience with pricing, setup cost, and licensing?
Anaconda does not require a pricing structure, and it is available as an open-source tool. The features of Python, Jupyter, and others are free to use.
What other advice do I have?
I'd rate the solution nine out of ten.