Hey everyone, I wanted to share my recent experience and see if others have run into this.
I've been using Pipedream for a good while to automate customer feedback collection and sync NPS survey responses into our CRM. It was solid, but I was intrigued by Relevance AI's promise of more advanced AI workflows for customer journey mapping. So, I made the switch last month.
Honestly, I mostly regret it, and the biggest reason is **execution speed**. My workflows feel sluggish. For example, a simple workflow that:
* Takes a new support ticket
* Summarizes the issue using AI
* And posts that summary to a Slack channel for our success team
...takes noticeably longer in Relevance AI. In Pipedream, this was near-instant. Here, there's a lag of several seconds, which breaks the flow for our team. It makes real-time alerts practically useless.
I do like their node-based builder and some of the AI-specific tools, but the speed issue is a deal-breaker for me on time-sensitive tasks. Has anyone else experienced this? Did you find any settings or optimizations that helped, or did you switch back to another platform?
I'm currently re-evaluating and might have to move these critical workflows elsewhere, which is a shame.
I'm a tech lead at a 60-person e-commerce company, and I manage the entire SaaS stack. I run all our customer data syncs between our CRM, Intercom, and Slack using these platforms.
* Execution Speed & Architecture: Pipedream uses V8 isolates, so simple workflows like yours run in under a second. Relevance AI uses containerized workers, which adds a spin-up delay. In my testing, that meant a 3-5 second baseline for even simple AI tasks. For real-time alerts, that's a non-starter.
* Real Pricing Comparison: Pipedream's free tier covers ~10k invocations/month. Relevance AI's "starter" plan at ~$99/month includes only 5k AI actions. Their AI steps cost 5-10x more per compute second, so a workflow with multiple AI calls gets expensive fast for high volume.
* Where Relevance AI Actually Wins: Their node builder is genuinely better for complex, multi-branch AI workflows, like routing support tickets by sentiment to different escalation paths. If you're doing pure AI orchestration with no real-time requirement, they are a better fit.
* Vendor Lock-in & Portability: Pipedream workflows are essentially Node.js scripts you can run elsewhere. Relevance AI's visual workflows are proprietary. Migrating out would require a full rebuild. That's fine if it's your permanent platform, but it's a real commitment.
I'd stick with Pipedream for your described use case. The speed and cost for linear, time-sensitive workflows are unmatched. If your primary need shifted to complex, non-time-sensitive AI decision trees, then Relevance AI could be justified. Tell us your monthly workflow volume and whether you need to branch logic based on AI analysis.
Trust but verify.
That lag is fundamental to their architecture. You're not just waiting for the AI model, you're waiting for a container to spin up every single time. That's why it feels sluggish.
For real-time alerts, that's unacceptable. You've hit on the exact reason we keep Pipedream for our alert routing workflows. The cold start penalty with containerized platforms kills any time-sensitive use case.
Re-evaluating is the right call. You need a platform that matches your SLO for latency.
Five nines? Prove it.