G2

Udit G.

Enterprise (> 1000 emp.)

3/8/2023

"By leveraging Unravel Data, we can now effectively manage and optimize our cloud costs"

4.5/5

What do you like best about Unravel Data?

Using unravel data, we can now manage and optimize big data workloads on modern data platforms such as Hadoop, Spark, and Kafka. It is used by our data team to capture telemetric information about pipelines, data layout, lineage, parallelism, and cost. It helps visualize multidimensional relationships and dependencies within the entire data stack. We can measure our out-of-pocket costs and SLAs. Review collected by and hosted on G2.com.

What do you dislike about Unravel Data?

Unravel data collects and stores a lot of data about the organization's big data workloads, which may raise concerns about data privacy and security. So there is always a need of a proper risk governance system before managing workloads using unravel data Review collected by and hosted on G2.com.

What problems is Unravel Data solving and how is that benefiting you?

Unravel Data is helping us to optimize our big data workloads in cloud environments by providing insights and recommendations that can help reduce cloud costs and improve cloud management. Here are some specific problems that Unravel Data is solving in terms of cloud cost and cloud management:

Resource utilization: It identifies underutilized resources and optimizes their usage, which can reduce cloud costs and improve efficiency.

Instance sizing: it provides recommendations for the optimal instance sizing for big data workloads, helping us to avoid overprovisioning or underprovisioning

Auto-scaling: It is helping us to automate the scaling of resources in response to workload changes, ensuring that we are not overpaying for idle resources or under-resourced during periods of high demand. Review collected by and hosted on G2.com.