We've been evaluating SASE platforms for a post-merger environment where we need to integrate two separate global networks (finance and manufacturing) without a full backbone rebuild. The classic trade-off has come up: best-of-breed integration vs. single-vendor convergence.
Juniper (with their Mist AI and SD-WAN) paired with Zscaler seems like the "stitched" approach. You get Juniper's strong underlay control and telemetry for network performance, but the security stack is separate. Meanwhile, Cato offers the fully integrated single-pass architecture.
For M&A, my immediate thoughts:
* **Rapid onboarding:** Cato's PoP model seems easier for quickly bringing in newly acquired offices, no hardware ship-and-wait. But does that sacrifice the deep network visibility we might need for latency-sensitive manufacturing apps?
* **Policy consistency:** A unified policy engine across network and security feels crucial when merging two different IT cultures. Is a stitched solution inherently riskier for policy drift?
* **Data pipeline analogy:** This feels like choosing between a tightly coupled stream processing engine (Cato) vs. a best-of-breed pipeline with separate Kafka, processing, and sink layers (Juniper+Zscaler). The latter offers flexibility and depth, but the operational overhead can explode during integration.
I'm particularly curious about real-world data: how do these approaches handle the influx of new users/devices and the inevitable policy exceptions during transition? Anyone gone through this with either vendor and can speak to the operational pain points?