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