Cloud Platform Innovation of the Year
SnapLogic provides the #1 Intelligent Integration Platform. The company’s cloud-based, AI-powered workflows and self-service integration capabilities make it fast and easy for organisations to manage all their application integration, data integration, API management, B2B integration, and data engineering projects on a single, scalable cloud platform.
SnapLogic was the first software vendor to apply machine learning to enterprise integration. The breakthrough technology, named Iris, is at the centre of the Intelligent Integration Platform, as it uses AI to automate highly repetitive development tasks. The Iris-powered Integration Assistant uses machine learning to predict the next step in building a data pipeline for cloud, analytics, and digital initiatives – with up to 90% accuracy. This eliminates the integration backlogs that stifle most technology initiatives. The “self-driving” software shortens the learning curve for business users to manage data flows, while freeing up technology teams for higher-value design and deployment needs.
Iris takes advantage of SnapLogic’s unique cloud-native system and metadata architecture, enabling it to do the data science needed to find patterns and features that can be used to train machine learning models. Iris thus learns from data flows, integration paths, and patterns across SnapLogic’s cloud platform, determining what’s popular, what works, and what doesn’t work. It then translates that learning into specific recommendations for line-of-business and IT managers, so they can save time and reduce errors while applying best practices.
Traditional integration software requires hand-crafted coding by developers. SnapLogic throws that out the window with a self-service platform that is purpose-built for the cloud, meaning there’s no legacy components preventing the data and application integration service from running at cloud speed. This simple but powerful platform enables IT and business users to create quality, scalable data pipelines that get data to the right people at the right time.
Unlike point-to-point integration tools, SnapLogic allows easy orchestration across multiple endpoints in a single workflow. This is enabled as the company provides users with over 500 pre-built application and data integration connectors, called Snaps. Whatever the task, there is a Snap available to ensure that businesses can complete their tasks in a quick and headache-free way. The easy-to-use platform empowers self-service integrators, eliminates information silos, and facilitates the data-driven enterprise.
Online file sharing and content management service Box needed a cloud-first approach to its IT infrastructure and integration. SnapLogic was the only technology provider able to significantly reduce the time spent on integration by Box’s small team of developers, who were responsible for company-wide integrations.
The automated processes that the SnapLogic Intelligent Integration Platform provided ensured Box saw a 93% improvement in delivering projects for the business. It reduced total project time from 30 days per project, with their previous software, to two days per project with SnapLogic. Box has connected hundreds of endpoints -- whether the data is event-driven, in batch, in the cloud, or on premises -- and they’re scaling to enormous data volumes, analysing more than 100 million records per integration.
“SnapLogic delivers on the promise of the connected enterprise,” said Paul Chapman, CIO at Box. “SnapLogic’s platform makes app and data integration fast and easy. With the SnapLogic platform, we’ve completed more than 200 integrations. Being able to quickly and easily custom-compose our IT environment allows us to take advantage of the latest innovations and scale reliably with speed and confidence.”
The cloud-based SnapLogic Intelligent Integration Platform helps businesses automate otherwise time consuming integration processes. It solves problems with technologies that weren’t widely available in the last century like predictive analytics, machine learning, or wiring up large industrial enterprises with IoT sensors, to give companies new profit pools and help do a better job of building products quickly and efficiently.