Anaconda provides access to the foundational open-source Python and R packages used in modern AI, data science, and machine learning. These enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness open-source for competitive advantage and research. Anaconda also provides enterprise-grade security to open-source software through the Premium Repository.
$0
per month
Microsoft Power Automate
Score 8.3 out of 10
N/A
Microsoft Power Automate is an advanced automation platform offering a range of features, including AI-powered automation, robotic process automation (RPA), business process automation (BPA), digital process automation (DPA), and process/task mining. The platform aims to empower organizations to securely automate their operations at scale by leveraging low-code and AI technologies.
$15
per month per user
Pricing
Anaconda
Microsoft Power Automate
Editions & Modules
Free Tier
$0
per month
Starter Tier
$9
per month
Business Tier
$50
per month per user
Enterprise Tier
60.00+
per month per user
Power Automate Premium
$15
per month per user
Power Automate Process
$150
per month per bot
Hosted RPA add-on
$215
per month per bot
Process Mining add-on
$5,000
per month per tenant
Offerings
Pricing Offerings
Anaconda
Microsoft Power Automate
Free Trial
No
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Anaconda
Microsoft Power Automate
Features
Anaconda
Microsoft Power Automate
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Anaconda
9.3
25 Ratings
10% above category average
Microsoft Power Automate
-
Ratings
Connect to Multiple Data Sources
9.822 Ratings
00 Ratings
Extend Existing Data Sources
8.024 Ratings
00 Ratings
Automatic Data Format Detection
9.721 Ratings
00 Ratings
MDM Integration
9.614 Ratings
00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Anaconda
8.5
25 Ratings
1% above category average
Microsoft Power Automate
-
Ratings
Visualization
9.025 Ratings
00 Ratings
Interactive Data Analysis
8.024 Ratings
00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Anaconda
9.0
26 Ratings
9% above category average
Microsoft Power Automate
-
Ratings
Interactive Data Cleaning and Enrichment
8.823 Ratings
00 Ratings
Data Transformations
8.026 Ratings
00 Ratings
Data Encryption
9.719 Ratings
00 Ratings
Built-in Processors
9.620 Ratings
00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Anaconda
9.2
24 Ratings
8% above category average
Microsoft Power Automate
-
Ratings
Multiple Model Development Languages and Tools
9.023 Ratings
00 Ratings
Automated Machine Learning
8.921 Ratings
00 Ratings
Single platform for multiple model development
10.024 Ratings
00 Ratings
Self-Service Model Delivery
9.019 Ratings
00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
I have asked all my juniors to work with Anaconda and Pycharm only, as this is the best combination for now. Coming to use cases: 1. When you have multiple applications using multiple Python variants, it is a really good tool instead of Venv (I never like it). 2. If you have to work on multiple tools and you are someone who needs to work on data analytics, development, and machine learning, this is good. 3. If you have to work with both R and Python, then also this is a good tool, and it provides support for both.
If you are in a team that needs to develop automated solutions but have no coding experience and no access to a developer, Power Automate is one of the best places to start. It is incredibly flexible and likely has triggers and actions that can connect with your platforms, especially if you use the Microsoft stack. Additionally, using webhooks, you can connect to many different endpoints to get systems working together.
Anaconda is a one-stop destination for important data science and programming tools such as Jupyter, Spider, R etc.
Anaconda command prompt gave flexibility to use and install multiple libraries in Python easily.
Jupyter Notebook, a famous Anaconda product is still one of the best and easy to use product for students like me out there who want to practice coding without spending too much money.
I used R Studio for building Machine Learning models, Many times when I tried to run the entire code together the software would crash. It would lead to loss of data and changes I made.
I REALLY wish I could just drop in a block of python or PowerShell code sometimes. The visual low-code things are great for moving around data but sometimes it would be faster if I could just tap out some code.
The DOM (Document Object Model) is not entirely apparent and takes a lot of trial and error, and sometimes it's even different between different connectors. I would love to be able to just see the path to access some specific variables from earlier processes.
It's really good at data processing, but needs to grow more in publishing in a way that a non-programmer can interact with. It also introduces confusion for programmers that are familiar with normal Python processes which are slightly different in Anaconda such as virtualenvs.
The tool is very useful when used with its various native connectors, taking great advantage of the integration between the components and systems of the Office365 universe. However, its cost is still high, and automation using more advanced components containing AI resources becomes unfeasible for some companies. Due to the financial crisis that many companies are currently experiencing, investment in automation systems or tools is taking a back seat.
I am giving this rating because I have been using this tool since 2017, and I was in college at that time. Initially, I hesitated to use it as I was not very aware of the workings of Python and how difficult it is to manage its dependency from project to project. Anaconda really helped me with that. The first machine-learning model that I deployed on the Live server was with Anaconda only. It was so managed that I only installed libraries from the requirement.txt file, and it started working. There was no need to manually install cuda or tensor flow as it was a very difficult job at that time. Graphical data modeling also provides tools for it, and they can be easily saved to the system and used anywhere.
Power Automate features a clean and intuitive user interface that allows users to create, manage, and monitor workflows easily. The UI is designed to be accessible to both technical and non-technical users, with drag-and-drop functionality for building workflows. Power Automate supports integration with a wide range of Microsoft and third-party applications. This flexibility in integration allows users to automate workflows across various systems, enhancing overall productivity and efficiency.
Anaconda provides fast support, and a large number of users moderate its online community. This enables any questions you may have to be answered in a timely fashion, regardless of the topic. The fact that it is based in a Python environment only adds to the size of the online community.
both Community support and Microsoft official support typically respond to (and resolve) reported issues in a VERY expedient manner, usually going above and beyond for education and bugfixing. I have been thoroughly impressed with the level of support I had been provided in the past.
after reviewing the main features of Power Automate, the Microsoft trainer focused on some of our real life use cases implementation, from simple to more advanced.
although it was productive, it is more difficult to stay focused and in a 7 hours a day online training (including screen share issues and the fact that the trainer just can't precisely show the exact location of your mistake)
I was part of the migration of classic SharePoint workflows and Nintex workflows. We didn't spend much time learning the new platform because of its user-friendly interface and intuitive drag-and-drop functionality. We have mostly O365 E1 and E3 licensed users, so they can participate in our Citizen Development program and utilize Power Automate to build day-to-day business processes.
I have experience using RStudio oustide of Anaconda. RStudio can be installed via anaconda, but I like to use RStudio separate from Anaconda when I am worin in R. I tend to use Anaconda for python and RStudio for working in R. Although installing libraries and packages can sometimes be tricky with both RStudio and Anaconda, I like installing R packages via RStudio. However, for anything python-related, Anaconda is my go to!
I have many years of experience with Nintex applications and it stands up very well against Microsoft Power Automate. I hope Microsoft Power Automate can become the better workflow application. With the Integrated AI builder and continuous updates I expect they can become the better one in a few years.
Microsoft's professional services provide hands-on support throughout the implementation lifecycle of Power Automate.This includes initial setup, configuration, integration with existing systems, testing, and deployment. They ensure that workflows are correctly designed, optimized for performance, and aligned with security best practices.
It has helped our organization to work collectively faster by using Anaconda's collaborative capabilities and adding other collaboration tools over.
By having an easy access and immediate use of libraries, developing times has decreased more than 20 %
There's an enormous data scientist shortage. Since Anaconda is very easy to use, we have to be able to convert several professionals into the data scientist. This is especially true for an economist, and this my case. I convert myself to Data Scientist thanks to my econometrics knowledge applied with Anaconda.