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…
Technical Manager in Information Technology at BairesDev (Information Technology & Services, 1001-5000 employees)
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 …
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Senior Project Manager in Product Management at DHL Global Forwarding (Transportation/Trucking/Railroad, 201-500 employees)
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 …
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Key User Insights
Would buy again
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Delivers good value for the price
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Happy with the feature set
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Lived up to sales and marketing promises
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Implementation went as expected
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Features
Iguazio
Platform Connectivity
Comparison of Platform Connectivity features of Iguazio
Feature
Iguazio
9.9
2 Ratings
17% above category average
Connect to Multiple Data Sources
10.02 Ratings
Extend Existing Data Sources
10.02 Ratings
Automatic Data Format Detection
10.02 Ratings
MDM Integration
9.52 Ratings
Data Exploration
Comparison of Data Exploration features of Iguazio
Feature
Iguazio
9.7
2 Ratings
15% above category average
Visualization
9.52 Ratings
Interactive Data Analysis
10.02 Ratings
Data Preparation
Comparison of Data Preparation features of Iguazio
Feature
Iguazio
9.7
2 Ratings
17% above category average
Interactive Data Cleaning and Enrichment
10.02 Ratings
Data Transformations
9.52 Ratings
Data Encryption
9.52 Ratings
Built-in Processors
10.02 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Iguazio
Feature
Iguazio
9.7
2 Ratings
15% above category average
Multiple Model Development Languages and Tools
10.02 Ratings
Automated Machine Learning
9.52 Ratings
Single platform for multiple model development
10.02 Ratings
Self-Service Model Delivery
9.52 Ratings
Model Deployment
Comparison of Model Deployment features of Iguazio
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 de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
