What I appreciate most about Zipher is how easy it is to see tangible results. In my role, I was deeply involved in optimizing cloud costs and searching for tools that could help lower our expenses with both cloud providers and vendors. Zipher’s solution was not only straightforward to integrate, requiring minimal adjustments on our end, but it also delivered a significant impact on our costs. Review collected by and hosted on G2.com.

The main drawback of Zipher is that its cost reduction features are limited to just one area of Databricks—specifically, jobs—while the other aspects are not addressed and require other tools. Review collected by and hosted on G2.com.

The spark-aware autoscaler is significantly less wasteful than the native autoscaler, as it takes into account the context of our job runs and avoids unnecessary scaling. Review collected by and hosted on G2.com.

I believe there is potential to further enhance efficiency by incorporating code optimization, rather than focusing solely on job optimization. Review collected by and hosted on G2.com.

Zipher has consistently delivered measurable Databricks cost efficiencies while improving workload stability. It optimized cluster autoscaling by reducing unnecessary node churn and maintaining a steady balance between on-demand and spot capacity. We saw improved DBU utilization across interactive and job clusters, along with more predictable spend and faster job execution times which leads to reduce our oveall compute cost. Review collected by and hosted on G2.com.

Zipher’s automated optimization works intelligently behind the scenes, analyzing historical Databricks workloads and adjusting resources based on learned patterns. Since much of this logic is abstracted, we don’t always see how decisions are made, but the hands-off experience has been smooth and effective. More visibility into the autoscaling logic would make it even easier to understand and trust the optimizations as they happen. Review collected by and hosted on G2.com.

Zipher performs exactly as promised, providing notable cost savings and enhancing job performance. It helped stabilize our autoscaler by minimizing fluctuations in the cluster node configuration. After a straightforward setup, the platform needs very little ongoing attention, and the support team has been consistently responsive and pleasant to work with. Review collected by and hosted on G2.com.

The primary downside is the absence of built-in dashboards and metrics, which I suspect is due to us being early adopters who have not yet upgraded. However, since we already had adequate monitoring systems to verify the tool's effectiveness, we did not see a reason to proceed with an upgrade. Review collected by and hosted on G2.com.

We installed Zipher in under 5 minutes, and started seeing savings in our cloud and Databricks bills within weeks. We also didn’t see any affect on performance, in fact our failure rates also decreased significantly Review collected by and hosted on G2.com.

The dashboard isn’t well designed and it needs a refresh. That said, it’s still usable and I can see my savings Review collected by and hosted on G2.com.

The autoscaler delivers strong cost reduction, which is the main reason to adopt it.

Their team is very responsive and supportive, which makes troubleshooting and adoption easier. Review collected by and hosted on G2.com.

The user experience is not very smooth, especially when integrating with Zipher.

It’s hard to clearly understand when and how the autoscaler is interacting with Databricks.

This lack of transparency makes onboarding and day-to-day usage less intuitive. Review collected by and hosted on G2.com.

Zipher promised more than 35% savings on databricks and aws costs, we were skeptical but after a POC they delivered over 50% savings, and no adverse performance impacts Review collected by and hosted on G2.com.

Not much, maybe I’d say the reporting could be a bit stronger - more custom drilldowns Review collected by and hosted on G2.com.

Great visibility with clean dashboards. Configurable. Simple integration. Team is responsive and accessible. Review collected by and hosted on G2.com.

The pricing model is a bit complex in my opinion. Review collected by and hosted on G2.com.