Iguazio vs. Valohai

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
Valohai
Score 0.0 out of 10
Mid-Size Companies (51-1,000 employees)
Models are temporary; pipelines are forever. Valohai is an MLOps platform that automates everything from data extraction to model deployment. The Valohai platform is designed to make machine learning in production easy. Data scientists and machine learning engineers can work together to build end-to-end machine learning pipelines that take in new data, train a model, and deploy to production automatically. Everything trained on Valohai is automatically stored and versioned, so every model…N/A
Pricing
IguazioValohai
Editions & Modules
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Offerings
Pricing Offerings
IguazioValohai
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
IguazioValohai
Considered Both Products
Iguazio
Chose Iguazio
Iguazio provides a generic and easy to use mechanism to describe and track code,metadata,inputs and outputs of machine learning related tasks(executions). Users is able to track various elements, store them in a database and presents all running jobs as well as historical jobs …
Chose Iguazio
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 …
Valohai

No answer on this topic

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User Ratings
IguazioValohai
Likelihood to Recommend
10.0
(0 ratings)
-
(0 ratings)
User Testimonials
IguazioValohai
Likelihood to Recommend
It is built in a way that supports low latency real-time data processing. The model can be triggered using different streaming engines without the need to write additional codes. It has serverless that enables developers to write code [that] automatically transform to auto-scaling production workload, significantly reducing time to market and resources.
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Pros
  • Dynamic scaling capacity.
  • Central Metadata management.
  • Data ingestion and preparation.
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Cons
  • The user interface is not so much user-friendly, and easy-to-use, navigate.
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Alternatives Considered
Iguazio provides a generic and easy to use mechanism to describe and track code,metadata,inputs and outputs of machine learning related tasks(executions). Users is able to track various elements, store them in a database and presents all running jobs as well as historical jobs in a single report. With Iguazio MLOps platform, data engineers,data scientist and MLOps engineers work in an unified environment with processes that increase productivity right out of the box.
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Return on Investment
  • 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

Valohai Screenshots

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