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Some editions of AWS S3 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 AWS S3 that lets you read and write AWS S3 data, even for legacy or on-prem instances. You build against Makini once instead of integrating with AWS S3 directly.
You integrate AWS S3 through Makini's Unified API. Authenticate once and Makini normalizes AWS S3 data into a single consistent schema you can read from and write to inside your product. The same connection reaches AWS S3 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 AWS S3's core records as normalized, standardized resources, in both directions: pull data out of AWS S3 and push updates back in. Every field is mapped to a consistent Makini schema, so you work with the same object model across AWS S3 and every other connected system.
Days, not quarters. Because Makini already builds and maintains the AWS S3 connector, you do not reverse-engineer the integration yourself: you authenticate and start reading and writing AWS S3 data through the Unified API, typically within a few days. A AWS S3 integration built in-house usually takes months plus ongoing maintenance.
Yes. Makini connects to AWS S3 over encrypted connections on SOC 2 Type II certified infrastructure, and handles AWS S3 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 AWS S3 and every other connected system.
Makini owns the maintenance. When AWS S3 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 AWS S3 upkeep stays off your roadmap.
