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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Amazon Rekognition

    Score9.9 out of 10
    N/AAmazon offers Rekognition, an image and video visual analytics tool that is trained on locating and identifying labeled or tag-related objects, events, people, and also inappropriate content in images and video so that images and video can more safely and reliably be integrated and positioned in web applications or presentations after it conducts its analysis.N/A

    Anaconda

    Score8.1 out of 10
    N/AAnaconda 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

    Pricing
    Amazon RekognitionAnaconda
    Editions & Modules
    No answers on this topic
    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
    Offerings
    Pricing Offerings
    Amazon RekognitionAnaconda
    Free Trial
    YesNo
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    YesYes
    Entry-level Setup FeeOptionalNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Amazon RekognitionAnaconda
    Considered Both Products
    Amazon AWS
    No answer on this topic
    Anaconda
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    96%
    Would buy again
    24 Answers
    Delivers good value for the price
    No answers on this topic
    100%
    Delivers good value for the price
    23 Answers
    Happy with the feature set
    No answers on this topic
    100%
    Happy with the feature set
    25 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    94%
    Lived up to sales and marketing promises
    15 Answers
    Implementation went as expected
    No answers on this topic
    100%
    Implementation went as expected
    21 Answers
    Features
    Amazon RekognitionAnaconda
    Platform Connectivity
    Comparison of Platform Connectivity features of Amazon Rekognition and Anaconda
    Feature
    Amazon Rekognition
    -
    Ratings
    Anaconda
    9.3
    25 Ratings
    11% above category average
    Connect to Multiple Data Sources00 Ratings9.822 Ratings
    Extend Existing Data Sources00 Ratings8.024 Ratings
    Automatic Data Format Detection00 Ratings9.721 Ratings
    MDM Integration00 Ratings9.614 Ratings
    Data Exploration
    Comparison of Data Exploration features of Amazon Rekognition and Anaconda
    Feature
    Amazon Rekognition
    -
    Ratings
    Anaconda
    8.5
    25 Ratings
    2% above category average
    Visualization00 Ratings9.025 Ratings
    Interactive Data Analysis00 Ratings8.024 Ratings
    Data Preparation
    Comparison of Data Preparation features of Amazon Rekognition and Anaconda
    Feature
    Amazon Rekognition
    -
    Ratings
    Anaconda
    9.0
    26 Ratings
    10% above category average
    Interactive Data Cleaning and Enrichment00 Ratings8.823 Ratings
    Data Transformations00 Ratings8.026 Ratings
    Data Encryption00 Ratings9.719 Ratings
    Built-in Processors00 Ratings9.620 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Amazon Rekognition and Anaconda
    Feature
    Amazon Rekognition
    -
    Ratings
    Anaconda
    9.2
    24 Ratings
    9% above category average
    Multiple Model Development Languages and Tools00 Ratings9.023 Ratings
    Automated Machine Learning00 Ratings8.921 Ratings
    Single platform for multiple model development00 Ratings10.024 Ratings
    Self-Service Model Delivery00 Ratings9.019 Ratings
    Model Deployment
    Comparison of Model Deployment features of Amazon Rekognition and Anaconda
    Feature
    Amazon Rekognition
    -
    Ratings
    Anaconda
    9.5
    21 Ratings
    11% above category average
    Flexible Model Publishing Options00 Ratings10.021 Ratings
    Security, Governance, and Cost Controls00 Ratings9.020 Ratings
    Best Alternatives
    Amazon RekognitionAnaconda
    Small Businesses
    TensorFlow
    Score8.2 out of 10
    RapidMiner
    Score8.9 out of 10
    Medium-sized Companies
    Google Cloud AI
    Score8.7 out of 10
    Jupyter Notebook
    Score9.4 out of 10
    Enterprises
    Google Cloud AI
    Score8.7 out of 10
    IBM Watson Studio
    Score10 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Amazon RekognitionAnaconda
    Likelihood to Recommend
    9.5
    (2 ratings)
    10.0
    (38 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    7.0
    (1 ratings)
    Usability
    9.5
    (2 ratings)
    9.0
    (3 ratings)
    Support Rating
    9.5
    (2 ratings)
    8.9
    (9 ratings)
    User Testimonials
    Amazon RekognitionAnaconda
    Likelihood to Recommend
    Amazon AWS
    Amazon Rekognition is well suited for all image and videos analysis. Also, deep learning projects for image and video can easily be done using this. It is very easy to use so a beginner can also use it.
    Incentivized
    Read full review
    Anaconda
    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.
    Incentivized
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    Pros
    Amazon AWS
    • Image tagging is very good.
    • Object detection is precise.
    • Video tagging has become very easy using Rekognition.
    Incentivized
    Read full review
    Anaconda
    • 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.
    Incentivized
    Read full review
    Cons
    Amazon AWS
    • The cost is bit more for small scale companies.
    • For text processing, OCR is not available in amazon rekognition.
    • Only facial search is available in image search.
    Incentivized
    Read full review
    Anaconda
    • It can have a cloud interface to store the work.
    • Compatible for large size files.
    • 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.
    Incentivized
    Read full review
    Likelihood to Renew
    Amazon AWS
    No answers on this topic
    Anaconda
    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.
    Incentivized
    Read full review
    Usability
    Amazon AWS
    Very much suitable for many applications where the image processing features are secondary and independent of any domain. This makes it a general solution and the recognition features are returned in a JSON object in response to the API called made which is a very simple process.
    Incentivized
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    Anaconda
    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.
    Incentivized
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    Support Rating
    Amazon AWS
    Support of Amazon is great. So far we are having a great experience using it.
    Incentivized
    Read full review
    Anaconda
    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.
    Incentivized
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    Alternatives Considered
    Amazon AWS
    It's easy to implement and its documentation is great compared to CNTK.
    Incentivized
    Read full review
    Anaconda
    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!
    Incentivized
    Read full review
    Return on Investment
    Amazon AWS
    • The best thing it made our work fast.
    • It reduces the chance of failure of a project which is based on image or video processing.
    • We can assign anyone in our team to work on this as it very easy to use.
    Incentivized
    Read full review
    Anaconda
    • 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.
    Incentivized
    Read full review
    ScreenShots