Amazon Rekognition vs. Iguazio

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon Rekognition
Score 9.9 out of 10
N/A
Amazon 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
Iguazio
Score 10.0 out of 10
N/A
Iguazio, a McKinsey company, offers the Iguazio MLOps Platform used to develop and manage AI applications at scale. It provides data science, data engineering and DevOps teams with a platform to deploy operational ML pipelines.N/A
Pricing
Amazon RekognitionIguazio
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Amazon RekognitionIguazio
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details
More Pricing Information
Community Pulse
Amazon RekognitionIguazio
Best Alternatives
Amazon RekognitionIguazio
Small Businesses
InterSystems IRIS
InterSystems IRIS
Score 8.0 out of 10
Google Cloud AI
Google Cloud AI
Score 8.4 out of 10
Medium-sized Companies
Posit
Posit
Score 10.0 out of 10
Google Cloud AI
Google Cloud AI
Score 8.4 out of 10
Enterprises
Posit
Posit
Score 10.0 out of 10
Dataiku
Dataiku
Score 8.5 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon RekognitionIguazio
Likelihood to Recommend
9.5
(2 ratings)
10.0
(2 ratings)
Usability
9.5
(2 ratings)
-
(0 ratings)
Support Rating
9.5
(2 ratings)
-
(0 ratings)
User Testimonials
Amazon RekognitionIguazio
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.
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McKinsey & Company
With Iguazio we are able to scale up our organisations AI infrastructure which us vital to meet business goals and accelerate time-to-time. We are also able to manage our ML pipeline end-to-end using a full-stack,user-friendly environment, feature-rich integrated feature store and powerful data transformation and real-time feature engineering capabilities.
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Pros
Amazon AWS
  • Image tagging is very good.
  • Object detection is precise.
  • Video tagging has become very easy using Rekognition.
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McKinsey & Company
  • Dynamic scaling capacity.
  • Central Metadata management.
  • Data ingestion and preparation.
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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.
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McKinsey & Company
  • The user interface is not so much user-friendly, and easy-to-use, navigate.
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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.
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McKinsey & Company
No answers on this topic
Support Rating
Amazon AWS
Support of Amazon is great. So far we are having a great experience using it.
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McKinsey & Company
No answers on this topic
Alternatives Considered
Amazon AWS
It's easy to implement and its documentation is great compared to CNTK.
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McKinsey & Company
Execution, experiment, data, model tracking, and automated deployment is done automatically through the MLRun serverless runtime engine. MLRun maintains a project hierarchy with strict membership and cross-team collaboration. End-to-end data governance is fully solidified and managed with authentication and identity management. Customers securely share data by providing access directly to it and not to copies.
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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.
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McKinsey & Company
  • Is a fully integrated solution with a user-friendly portal.
  • Manage our ML pipeline end-to-end using Full-stack,user friendly environment.
  • Iguazio enables our teams to manage all artefacts throughout their lifecycle.
  • Enhance team work and collaboration in our teams.
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ScreenShots