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Great Easy to use Product. A must for ETL and Big Data
What do you like best about the product?
Capacity Optimizer is a simple easy to implement - easy to use application that will save you money right from the get go. Right out of the box you will see a 10 to 15 % savings. The support is top notch - they go above and beyond in getting the most out of the product. This is a no brainer for any Big Data workload.
What do you dislike about the product?
The Pepperdata team works closely with you to answer and problems you may have. I have not had any serious problem that would make me not use it
What problems is the product solving and how is that benefiting you?
Cost Savings - We have seen a significant cost savings
Visiblity - We have more visiblity than what AWS gives us with Pepperdata
Visiblity - We have more visiblity than what AWS gives us with Pepperdata
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Improves spark report performance and saves overall compute spend.
What do you like best about the product?
The ease of installation, great dashboards for cost and capacity visibility.
What do you dislike about the product?
Wish we could use it on our other applications!
What problems is the product solving and how is that benefiting you?
Lowering our overall cost.
Saved 75% cost on EMR
What do you like best about the product?
The capacity optimizer helped us to reduce the wastage on EMR clusters and increased the efficiency. For one of the clusters - the savings was as big as 75%. For others we are seeing atleast 30% savings.
What do you dislike about the product?
Needs fine tuning multiple times, I would love to see some automated feedback in place to recommend the right set of settings based on the workloads.
What problems is the product solving and how is that benefiting you?
Cost optimization
Save money on your big data workloads
What do you like best about the product?
The capacity optimizer has been proven to save a lot of money. What I like best about the product, though, is the support we have received throughout our journey of migrating our EMR clusters from EC2 to EKS.
What do you dislike about the product?
There are still some features that need to be worked out for EMR on EKS and EMR Notebooks, but the Pepperdata team is actively working on these. These are relatively new offerings, so it's not surprising that there is still some work that needs to be done.
What problems is the product solving and how is that benefiting you?
The optimizer's main benefit is cost savings on compute, specifically with workloads running on EMR.
Good for visualization. Need more details and understanding 9f.how the optimization works
What do you like best about the product?
The visualization is good with clear uncluttered dashboards and metrics analyser
What do you dislike about the product?
Optimizer does not work always. Details on how the optimizer works is not so clear.
What problems is the product solving and how is that benefiting you?
Optimizing kubernetes resource usage for data pipeline infrastructure
It’s a best CPU and Memory Optimizer I have used
What do you like best about the product?
It's best optimizes the CPu Memory Storage and our HDFs usage
What do you dislike about the product?
The dashboard view of pepperdata and our HDFs usage
What problems is the product solving and how is that benefiting you?
Infrastructure Capacity
Pepper data actually provides a good graphical view of your infra capacity
What do you like best about the product?
It's used in our company and best recommended
What do you dislike about the product?
For now - No disadvantage has been identified
What problems is the product solving and how is that benefiting you?
It can re- scale the pods based on capacity
Capacity Optimizer helps Pepperdata Pay for Itself
What do you like best about the product?
Upsides are that if its working correctly it can justify the cost of running Pepperdata. Pepperdata provides Capacity Optimizer data and reporting so you can keep tabs on its effectivness.
What do you dislike about the product?
Not sure I have any specific dislikes as it tends to just run itself and needs little to no care and feeding from our side. Will be interested to see how or if we get similar results in saving with our spark workloads on kubernetes.
What problems is the product solving and how is that benefiting you?
Its allowing us to best utlize the compute we have available for our workloads.
Almost 10 years of experience making the most out of capacity optimizer!
What do you like best about the product?
Capacity optimist has been one of my companies best investments. Product pays for itself and maximizes hardware capacity.
What do you dislike about the product?
Nothing. Best product for Hadoop and is already in great need of for K8.
What problems is the product solving and how is that benefiting you?
It automatically optimized code and resource requests. Instead of being stuck with a reservation system in Yarn and other schedulers, it automatically gives bad the extra resources that would otherwise not be available for other jobs decreasing performance greatly and ruining the ability to run so many jobs in parallel.
Helps understand the performance of ETL Jobs on EMR and EKS clusters
What do you like best about the product?
Helps understand the performance of emr cluster and ETL jobs and optimize performance
What do you dislike about the product?
Some UX could be better in some areas like switching across clusters
What problems is the product solving and how is that benefiting you?
Helps in tuning performance of ETL Jobs. We are able to identify the bottlenecks and tune spark parameters accordingly, leading to faster processing and lower costs
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