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Iguazio

Score10 out of 10

3 Reviews and Ratings

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What is Iguazio?

Iguazio, headquartered in Herzliya, provides a Data Science Platform to automate machine learning pipelines. It aims to accelerate the development, deployment and management of AI applications at scale, enabling data scientists to focus on delivering better, more accurate and more powerful solutions instead of spending their time on infrastructure. The platform is open and deployable anywhere - multi-cloud, on prem or edge. The vendor states Iguazio powers real-time data science applications for financial services, gaming, ad-tech, manufacturing, smart mobility and telecoms.

Categories & Use Cases

Key Features

Learn about the best (and worst!) features Iguazio has to offer, as determined by TrustRadius' reviewers.
Based on 3 ratings of Iguazio's features
View all features

Top Performing Features

  • Connect to Multiple Data Sources

    Ability to connect to a wide variety of data sources including data lakes or data warehouses for data ingestion

    Category average: 8.8

  • Extend Existing Data Sources

    Use R or Python to create custom connectors for any APIs or databases

    Category average: 8.9

  • Automatic Data Format Detection

    Automatic detection of data formats and schemas

    Category average: 9.2

Areas for Improvement

  • Automated Machine Learning

    Tools to help automate algorithm development

    Category average: 8.9

  • Self-Service Model Delivery

    Multiple model delivery modes to comply with existing workflows

    Category average: 8.3

  • Security, Governance, and Cost Controls

    Built-in controls to mitigate compliance and audit risk with user activity tracking

    Category average: 8.6

Most Frequent Users

Top 3 industries using Iguazio
Based on HG Insights installation data
View all Reviews
#1 most frequent

Professional, Scientific, and Technical Services

50.0%

7 installations of 14

#2 most frequent

Manufacturing

14.3%

2 installations of 14

#3 most frequent

Information

7.1%

1 installation of 14

Reviews

What users are saying about Iguazio.
View all reviews

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

Incentivized
Douglas CarterView profile
Technical Manager in Information Technology at BairesDev (1001-5000 employees employees)

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.

Most Important Features

  • Real-time Data and Model pipeline.
  • Data + Model Monitoring.
  • Data ingestion and preparation.

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.

Alternatives Considered

RapidMiner Studio

Other Software Used

Choozle, SDL XPP, Articoolo

A spellbound tool to automate machine learning.

Incentivized
Izaan JivinView profile
Senior Project Manager in Product Management at DHL Global Forwarding (201-500 employees employees)

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.

Most Important Features

  • Data connectors .
  • Feature store for engineering, storing,analyzing and storing all available features.
  • Enterprise management and support.

Return on Investment

  • Is a fully integrated solution with a user friendly portal.
  • Offers great services for scalable data and feature engineering.
  • Has real-time pipelines.
  • Model tracking

Alternatives Considered

Sumo Logic

Other Software Used

Sumo Logic