
























































































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