Press Release

Iguazio Achieves AWS Outposts Ready Designation to Help Enterprises Accelerate AI Deployment

What's All the Hype About? Iguazio Listed in Five 2020 Gartner Hype Cycles

Sahar Dolev-Blitental | August 10, 2020

We are delighted to announce that Iguazio has been named a sample vendor in the 2020 Gartner Hype Cycle for Data Science and Machine Learning, as well as four additional Gartner Hype Cycles for Infrastructure Strategies, Compute Infrastructure, Hybrid Infrastructure Services, and Analytics and Business Intelligence, among industry leaders such as DataRobot, Amazon Web Services, Google Cloud Platform, IBM and Microsoft Azure (some of whom are also close partners of ours).

The 2020 Gartner Hype Cycle for Data Science and Machine Learning takes a look at how organizations are industrializing their DSML initiatives through increased automation and improved access to ML artifacts, and by accelerating the journey from proof of concept to production, including everything MLOps.

The 2020 Gartner Hype Cycle for Infrastructure Strategies focuses on infrastructure architecture, automation/intelligence, AI/ML, IoT and hyperconverged innovations.

The 2020 Hype Cycle for Compute Infrastructure covers AI, cloud and security with a focus on urgently supporting the new imperatives around remote work and cost reduction due to COVID-19.

The 2020 Hype Cycle for Hybrid Infrastructure Services assesses the maturity of emerging and evolving services and solutions, enabling organizations to achieve business advantage through planned adoption.

The 2020 Gartner Hype Cycle for Analytics and Business Intelligence evaluates the maturity of innovations across the analytics and BI space, including edge analytics, with a focus on enabling organizations to make appropriate use of data and analytics.

What does Iguazio bring to the machine learning and compute infrastructure spaces?

By marrying a strong data engineering infrastructure with the latest ML automation capabilities, Iguazio simplifies the challenges of MLOps and addresses data prep at scale, developing and deploying ML and DL, streaming, ETLs and data extraction in one end-to-end platform, with a unified architecture for real-time and batch processing in research and production, as well as hybrid deployment capabilities (on-prem, cloud, hybrid and edge).

Iguazio has a strong competitive advantage in these areas due to the robust serverless infrastructure and real-time data layer at the core of our Data Science Platform, which enables extreme performance at scale. The Iguazio cloud-native infrastructure empowers organizations to rapidly build a production-ready environment for their AI applications, facilitating increased agility, rapid deployment of new AI applications and real-time predictive use cases, while automating away the complexities of MLOps.  

An example of this is our work with Payoneer on fraud prevention in real time, our work with NetApp on predictive maintenance and automated insights gleaned from 10 trillion data points per month, and our work with Quadient on unifying many different data types for diverse ML use cases.

In addition to Iguazio being mentioned in these five Gartner Hype Cycles, our open-source serverless technology, Nuclio, was featured in Gartner’s report titled ‘A CIO’s Guide to Serverless Computing’, and earlier this year Iguazio received an honorable mention in the ‘Gartner Magic Quadrant for Data Science and ML Platforms’.

To learn more about the Iguazio Data Science Platform or Nuclio Open Source Technology, or to find out how we can help you bring your data science to life, contact our experts.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.