We generally recommend using a middleware tool as integration “best practice.” It avoids most of the complexity that can come up during integration projects, including heavy upfront investments, long project timelines, and poorly organized data. Middleware is the most cost-effective way to move and maintain clean, validated data automatically across systems in a timely manner.

Of course, there are other methods of integration, but only two types can automate your data transfers: Middleware tools and Custom Coding.

Middleware tools act as a flexible conduit between your data systems. They leverage proven, configurable technology that allows for mapping fields between systems and establishing rules. Because middleware tools to transform data, manage interruptions, and set schedules. Middleware tools also have built-in monitoring features to ensure your integrations run smoothly and scale as your business grows. Using a middleware tool usually consists of purchasing a license or subscription with one-time setup or configuration costs.

Custom coding an integration requires writing and developing code to connect your data and share it across systems. Because is a manual process to build, monitor, and maintain hard coded integration, it can come with huge upfront investment and ongoing maintenance costs. Changes or updates to the integration must reference detailed documentation, architecture, and the code itself to ensure updates are implemented and tested without breaking or failing. It may also require purchasing additional software to support or maintain the custom coded integration.

Your organization may have priorities or resources that will determine which integration method is the best fit for your business. We break down four different types of integration, including middleware, with benefits and drawbacks for each method: