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Data infrastructure optimization, availability & security software
Data integration & quality software
The Next Wave of technology & innovation
 

Integrate

Connecting today’s data infrastructure with tomorrow’s technology and ensuring data quality - to power machine learning, AI and predictive analytics

Syncsort gives your enterprise the best range of products and unmatched expertise to deliver optimum performance and resource utilization for critical data systems. On premises and in the cloud, we make it easy to contain costs, meet service level agreements and mitigate risk, as digital business drives significant growth in workloads managed by traditional and emerging data platforms.

OUR PRODUCTS:

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The Syncsort difference

 

With Syncsort, you can confidently optimize, integrate and advance data anywhere so you can work more efficiently, grow faster and achieve more. We recognize that our customers are at the center of driving better ways of doing things with a passion for discovering the unknown. That’s why we are committed to building tools that make data more insightful than it is today – so that we can help you solve the present and prepare for the future.

Read our latest eBook

Bridging the Gap Between Big Iron & Big Data

Today’s circuitous path of exporting mainframe data and importing it into Hadoop isn’t just complicated, but it’s a huge hassle that has extreme time and cost implications. These have discouraged organizations from using mainframe data for Big Data and other analytic purposes. Mainframes power many mission-critical applications throughout the enterprise – collecting, generating and processing some of the largest data volumes with exceptional performance and reliability.

This eBook will guide you through the process of overcoming the four biggest challenges of leveraging mainframe data, and explain how to offload costly batch workloads from the mainframe onto today's Big Data technologies. You will also learn useful tips and best practices on bridging the gap between Big Iron and Big Data and achieving massive data scalability with Hadoop.

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