TrustRadius: an HG Insights company
Iguazio Logo

Iguazio Reviews and Ratings

Rating: 10 out of 10
Score
10 out of 10

Reviews

2 Reviews

Full-featured, Enterprise Grade Data Science and MLOps platform.

Rating: 10 out of 10
Incentivized

Use Cases and Deployment Scope

Iguazio is a very powerful and reliable tool that i have used for over 3 years now. Being a MLOps Platform it has enabled us to develop, deploy and manage real-time AI applications at scale. The platform includes includes an online and offline feature store,fully integrated with automated model monitoring and drift detection, model serving and dynamic scaling capabilities.

Pros

  • It enables us to develop, deploy and manage real-time AI applications at scale.
  • Easy machine learning and rapidly deploy operational ML pipelines.

Cons

  • The user interface is not so much user-friendly, and easy-to-use, navigate.

Likelihood to Recommend

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.

A spellbound tool to automate machine learning.

Rating: 10 out of 10
Incentivized

Use Cases and Deployment Scope

It's a platform that enables you to develop and manage real-time AI applications at scale. A tool that provides data science, data engineering, and DevOps teams with one place to operationalize machine learning and rapidly deploy operational ML pipelines. It is fully integrated with automated model monitoring and drift detection capabilities.

Pros

  • Dynamic scaling capacity.
  • Central Metadata management.
  • Data ingestion and preparation.

Cons

  • No Cons for me. we are able to parallelize work within a single pod so that different workers can ingest data simultaneously.
  • Handling all types of triggers.
  • Model training and testing.

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.