#1 most frequent
United States of America
52.9%9 installations of 17
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
Product Demos
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
Who Buys & Uses Iguazio
#2 most frequent
India
11.8%2 installations of 17
#3 most frequent
United Kingdom of Great Britain and Northern Ireland
11.8%2 installations of 17
Full-featured, Enterprise Grade Data Science and MLOps platform.
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.
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