![Moshe D.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Moshe D.")
MD

Moshe D.

Data Platform Lead

Mid-Market (51-1000 emp.)

10/26/2025

"Effortless Databricks Cost Savings with Zipher"

5/5

What do you like best about Zipher?

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.

What do you dislike about Zipher?

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.

What problems is Zipher solving and how is that benefiting you?

We faced a persistent challenge with the rising costs of Databricks, which became increasingly difficult to control as our services expanded beyond just R&D to the entire company. Previously, we had to manually review each job and adjust its specifications to keep expenses down. However, as the number of jobs grew, we could only focus on the most critical ones, leaving many others unchecked. This situation also required us to periodically launch manual cost-saving initiatives, which often took priority over developing new business features. Since implementing Zipher, I no longer need to worry about managing Databricks costs in this way. The process is now fully autonomous, from the creation of a job to its completion, and we started seeing results within about two weeks. Review collected by and hosted on G2.com.

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