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Big Data Glossary

What is Hybrid Integration Platform?

Definition of Hybrid Integration Platform

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What is Hybrid Integration Platform?

A hybrid integration platform (HIP) is an integration platform that allows organizations to connect and integrate their on-premises systems and applications with cloud-based systems and applications. It is a combination of both traditional integration technologies and cloud-native integration technologies that can be deployed on-premises, in the cloud, or in a hybrid environment.

HIPs provide a set of tools and services for connecting and integrating different systems, applications, and data sources, whether they are on-premises or in the cloud. This can include things like data integration, process automation, and API management. HIPs also provide security and governance capabilities to ensure that the integration is done in a secure and compliant way. One of the main benefits of using a HIP is that it allows organizations to easily integrate their existing on-premises systems with new cloud-based systems and applications, without the need to rip and replace their existing infrastructure. This can help organizations to quickly realize the benefits of cloud computing, such as scalability, elasticity, and cost savings, while still being able to use their existing systems and applications. HIPs are becoming increasingly popular as more organizations are moving to the cloud and need a way to integrate their existing on-premises systems and applications with new cloud-based systems and applications.

Introducing Crosser

The All-in-One Platform for Modern Integration

Crosser is a hybrid-first platform that in one Low-code platform has all the capabilities that you traditionally would need several systems for.

In one easy-to-use platform:

Platform Overview

Crosser Solution for Data Mining

Explore the key features of the platform here →

Want to learn more about how Crosser could help you and your team to:

  • Build and deploy data pipelines faster
  • Save cloud cost
  • Reduce use of critical resources
  • Simplify your data stack
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