Pervasive

• 4,500+ Data Integration Customers
• Customers of All Sizes - Global 100 to SMB
• 1,000+ SaaS Integration Customers
• Broadest Connectivity
• Easily Embeddable for ISVs and SaaS Vendors
• Lowest TCO, Fast Time-to-Value
• Proven Interoperability and Integration Solution
• Design Once, Deploy on Cloud or On-Premises

Pervasive provides the flexible, cost-effective data integration required for challenging, increasingly regulated healthcare IT environments. Pervasive interoperability and interface engine solutions help customers ensure they comply with and mitigate the costs of industry and government regulations, integrate and automate manual processes to reduce costs and processing time, rapidly bring on new partners, and ensure patient care processes are sound.

Learn more about how Pervasive can help organizations in the healthcare industry

Hundreds of leading banks, credit unions, insurance companies, lenders, financial services software and SaaS vendors, and other financial services providers rely on Pervasive Integration solutions to deliver better service, comply with stringent regulations, contain costs and provide more compelling value.

Learn more about how Pervasive can help organizations in the financial services industry

Pervasive Integration is the leading integration solution for SaaS vendors and ISVs.  Over 150 leading vendors - including Intuit, Eloqua, Daptiv, Xactly and others grow their business with Pervasive Integration.

Learn more about how Pervasive can help ISVs and SaaS vendors

The integration blog gives cutting edge thought leadership on industry issues, along with event announcements, the latest product news, and interviews with customers and Pervasive executives on integration related subjects.

Data Integration Perspectives with David Linthicum gives this internationally recognized integration expert's cutting edge views of the industry.

"What you don't know about data", by prominent industry analyst Robin Bloor will help you think about data in new ways, refreshing your approaches to data-centric challenges.