--- description: Get detailed information about Anaconda usability, features, price, benefits and disadvantages from verified user experiences. Read reviews and discover similar tools on Capterra United Arab Emirates. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: Anaconda Price, Reviews & Ratings - Capterra United Arab Emirates 2026 --- Breadcrumb: [Home](/) > [Machine Learning Software](/directory/31103/machine-learning/software) > [Anaconda](/software/191760/anaconda) # Anaconda Canonical: https://www.capterra.ae/software/191760/anaconda Page: 1 / 5\ Next: [Next page](https://www.capterra.ae/software/191760/anaconda?page=2) > Secure, orchestrate, and accelerate data and AI at scale on the trusted foundation for AI-native development. > > Verdict: Rated **4.6/5** by 87 users. Top-rated for **Likelihood to recommend**. ----- ## Overview ### Who Uses Anaconda? Mid to large enterprises building enterprise-grade data science, machine learning, and AI, such as churn prediction models, on-prem LLMs, and production AI workflows at scale. ## Quick Stats & Ratings | Metric | Rating | Detail | | **Overall** | **4.6/5** | 87 Reviews | | Ease of Use | 4.4/5 | Based on overall reviews | | Customer Support Software | 4.0/5 | Based on overall reviews | | Value for Money | 4.6/5 | Based on overall reviews | | Features | 4.6/5 | Based on overall reviews | | Recommendation percentage | 90% | (9/10 Likelihood to recommend) | ## About the vendor - **Company**: Anaconda ## Commercial Context - **Pricing model**: Per Feature (Free version available) (Free Trial) - **Pricing Details**: Please contact Anaconda for pricing details. - **Target Audience**: Self Employed, 2–10, 11–50, 51–200, 201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,000+ - **Deployment & Platforms**: Mac (Desktop), Windows (Desktop), Linux (Desktop) - **Supported Languages**: English - **Available Countries**: Canada, United Kingdom, United States ## Features - API - Access Controls/Permissions - Chatbot Software - Collaboration Tools - Dashboard Software - Data Capture and Transfer - Data Connectors - Data Discovery Software - Data Extraction Software - Data Import/Export - Data Security - Data Visualization Software - Deep Learning Software - High Volume Processing - Information Governance - KPI Monitoring - ML Algorithm Library - Model Training - Multiple Data Sources - Natural Language Processing - Predictive Analytics Software - Predictive Modeling - Reporting/Analytics - Statistical Analysis Software - Visual Analytics - Visualization ## Support Options - Knowledge Base Software ## Category - [Machine Learning Software](https://www.capterra.ae/directory/31103/machine-learning/software) ## Related Categories - [Machine Learning Software](https://www.capterra.ae/directory/31103/machine-learning/software) - [Big Data Software](https://www.capterra.ae/directory/30851/big-data/software) - [Dashboard Software](https://www.capterra.ae/directory/30839/dashboard/software) - [Artificial Intelligence Software](https://www.capterra.ae/directory/30938/artificial-intelligence/software) - [Data Management Software](https://www.capterra.ae/directory/31003/data-management/software) ## Alternatives 1. 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I was having trouble installing Streamlit on my computer and as soon I followed the easy instructions, I could just play a Play button and the environment would run smoothly. > > **Cons**: The Windows setup file can take a while to download but it is worth it. > > I loved integrating Anaconda with Streamlit. I had spent a significant amount of time trying to setup Streamlit on my PC but it was not running. I like that it has a large variety of integrations for example CoLab and this was really awesome because I could edit my python code in the Anaconda interface before deploying my finished app to Streamlit. You can use a lot of coding languages to code from C to others like visual basic. ----- ### "must use for every data scientist" — 5.0/5 > **Terry** | *3 May 2025* | Mining & Metals | Recommendation rating: 10.0/10 > > **Pros**: best package management solution for python, two IDE can choose from jupyter or spyder > > **Cons**: conda managed packages are usually lagging actual package versions, using pip install can easily create conflicts ----- ### "Practical and easy-to-use Python environment tool" — 4.0/5 > **Rashad** | *15 August 2026* | Oil & Energy | Recommendation rating: 8.0/10 > > **Pros**: Anaconda provides a convenient environment for managing Python packages and setting up development environments. I found it useful for organizing different Python environments and installing the libraries needed for data analysis and technical work. > > **Cons**: The number of packages, environments, and configuration options can feel overwhelming at first. Managing environments and dependencies can also require some troubleshooting when different packages have compatibility requirements. > > I have mainly used Anaconda to manage Python environments and packages for technical and data-related tasks. It makes it easier to keep different project environments organized and helps avoid conflicts between package versions. Overall, it is a practical tool for managing Python-based workflows. ----- ### "Review of Anaconda" — 3.0/5 > **Christhian** | *21 October 2024* | Financial Services Software | Recommendation rating: 9.0/10 > > **Pros**: As a data scientist, we all know and have use anaconda because it provide every element needed to help us develop our projet. Between those elements we have IDEs, notebook editor, Python and R preinstalled with the most used libraries. > > **Cons**: Anaconda unfortunately takes too much space on laptop and it is sometimes really slow even when opening it ----- ### "A convenient and beginner friendly tool for managing data science workflows" — 5.0/5 > **Aditya** | *4 January 2026* | Computer Networking | Recommendation rating: 8.0/10 > > **Pros**: What I liked most about Anaconda is how smoothly it brings everything together in one place. Installing Python, managing libraries, and working with tools like Jupyter Notebook becomes much simpler, especially when handling data analysis tasks. It saves time, reduces setup issues, and lets me focus more on learning and building projects rather than fixing environment problems. > > **Cons**: One thing I liked least about Anaconda is that it can feel heavy and slow at times, especially on systems with limited resources. The environment management, while powerful, can be confusing in the beginning and sometimes leads to version conflicts. Also, updates and package installations occasionally take longer than expected, which can interrupt workflow. > > Overall, my experience with Anaconda has been positive. It has made data management much easier by providing a stable environment to work with large datasets and popular libraries without constant dependency issues. The free version offers a lot, especially for students and individual users, which makes it very cost-effective. ----- Page: 1 / 5\ Next: [Next page](https://www.capterra.ae/software/191760/anaconda?page=2) ## Links - [View on Capterra](https://www.capterra.ae/software/191760/anaconda) ## This page is available in the following languages | Locale | URL | | de | | | de-AT | | | de-CH | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | | fr | | | fr-BE | | | fr-CA | | | fr-LU | | | it | | ----- ## Structured Data