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Some editions of Kafka expose an API, but it is often limited, legacy, or inconsistent between versions, and many on-prem deployments have no usable API at all. Makini gives you one modern REST API for Kafka that lets you read and write Kafka data, even for legacy or on-prem instances. You build against Makini once instead of integrating with Kafka directly.
You integrate Kafka through Makini's Unified API. Authenticate once and Makini normalizes Kafka data into a single consistent schema you can read from and write to inside your product. The same connection reaches Kafka plus 2,000+ other ERP, WMS and CMMS systems, so you build one integration instead of one per system.
Through Makini you can read and write Kafka's core records as normalized, standardized resources, in both directions: pull data out of Kafka and push updates back in. Every field is mapped to a consistent Makini schema, so you work with the same object model across Kafka and every other connected system.
Days, not quarters. Because Makini already builds and maintains the Kafka connector, you do not reverse-engineer the integration yourself: you authenticate and start reading and writing Kafka data through the Unified API, typically within a few days. A Kafka integration built in-house usually takes months plus ongoing maintenance.
Yes. Makini connects to Kafka over encrypted connections on SOC 2 Type II certified infrastructure, and handles Kafka credentials for you so they are never exposed to your app. You authenticate once, and access runs through Makini's managed, auditable layer. The same security model applies across Kafka and every other connected system.
Makini owns the maintenance. When Kafka changes its API, versions, or endpoints, Makini updates the connector, and your integration keeps working with no changes on your side. You get a stable Unified API with webhooks, and Kafka upkeep stays off your roadmap.
