Integration glossary

The ideas behind connected systems, explained plainly.

Short explanations of the terms that come up when systems need to share data, each with a note on how STRAX handles it.

Change data capture (CDC)

Passing on only what changed in a database, shortly after it changed, instead of copying whole tables on a schedule.

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Canonical data model

One agreed definition of shared records such as customer and order, which every connected system is mapped to once.

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Two-way data synchronisation

Keeping the same record current in several systems, so an edit made in any one of them reaches the rest.

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Self-hosted integration platform

Integration software that runs on your own servers, so the data moving between your systems stays under your control.

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iPaaS (integration platform as a service)

Integration delivered as a cloud service, where the vendor hosts the platform that connects your applications.

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Data hub

A central store that every connected system feeds and reads, so they share one current version of each record.

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MCP server

A service that offers a system's tools and data to AI assistants over an open protocol, within limits the system sets.

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Soft delete and delete propagation

Marking a record deleted while keeping the row, and passing a delete on to the other systems that hold the same record.

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Worker pool and horizontal scaling

A group of machines sharing one queue of work, so capacity grows by adding another machine to the pool.

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Report theme

A saved set of colours, fonts, logo and cover design that every report using it is rendered with.

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Script library

Shared, versioned code that workflow code steps can call, kept in one place with its licences and the workflows that use it.

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See it on your own systems.

A demo takes about an hour and shows these ideas working on systems like yours.