We start by assessing the system landscape, workload, licensing requirements, and team expertise. Where KT.Team has a public case, we link to it; for n8n, to our analysis of use cases and limitations.
| Tool | When we choose it | Constraint | KT.Team experience |
| n8n | Lightweight processes and automation when launch in days matters | Complex logic requires JavaScript and engineering oversight | n8n use cases and limitations |
| Datareon | Enterprise environment with 1C, MDM, and master data | Proprietary delivery: we include licenses and support in TCO | Developer case: Datareon integrations |
| Apache Kafka | High-load event streams and asynchronous exchange | Kafka is a broker, not a ready-made bus: routing, transformation, and monitoring must be built around it | Furniture holding case study |
| MuleSoft | API-led architecture and reusable APIs across a large system landscape | Commercial platform: we include Anypoint licenses and expertise in TCO | Fix Price: supplier portal |
| Talend ESB | Jobs and data transformations when integration logic is easier to assemble than build from scratch | Before scaling, we define the version, support model, and job owners | Logistics: integrations 4x faster |
| WSO2 | Open-source enterprise integration when you need API management alongside the bus | Open source without vendor lock-in; higher entry barrier for the team | Marketplaces via WSO2 |
A detailed breakdown of licensing, community, and fault tolerance is in the article comparison of ESB solutions in the CIS market.