Sold by: Spot
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Spot helps unlock budget and resource productivity in AWS using ML/AI driven algorithms that drive continuous infrastructure optimization, cost optimization, and dynamic scaling.
4.7
Overview
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Spot by Flexera is a fully-integrated FinOps automation suite, purpose-built to optimize your AWS infrastructure and control its costs, at zero manual effort. Spot is an all-in-one solution for buying and using AWS resources efficiently: From autoscaling containers, VMs, and stateful workloads; to continuously optimizing the blend of RIs, SPs, spot instances, and on-demand. This one-of-a-kind set of capabilities work together to maximize performance, reliability, and cost at scale - while giving DevOps, FinOps, and platform teams a shared source of truth and active controls on AWS resource usage and risks. All Flexera Spot products are available via AWS Marketplace, with flexible monthly pricing, usage-based billing, and support for Private Offers and CPPO. Key Features and Benefits Fully Managed Resource Optimization Resource- and cost-efficient autoscaling across spot instances, RIs, SPs, and on-demand, no manual tuning required. Container-Native Workload Management Spot Ocean delivers serverless infrastructure for Kubernetes, EKS, and ECS, automatically scaling, bin-packing, and right-sizing pods. AWS-Native Turnkey integrations with EC2, ASG, EKS, CloudFormation, Terraform, and CloudWatch. Integrated Cloud Cost Visibility Granular cost analytics and integration with Flexera One Cloud Cost Optimization drive financial accountability of engineering teams, and an easier life for FinOps practitioners.
Highlights
- Actionable Visibility - Move beyond traditional monitoring tools towards solutions that deliver actionable visibility that connects performance, cost, usage, and reliability.
- Continuous Cost and Infrastructure Optimization - Continuously optimize resources such as VMs and EKS clusters with a cost-efficient balance of resource types that support application performance and reliability.
- Intelligent Automation - AI/ML-driven automation that delivers predictive infrastructure and application-driven scaling based on real-time analysis of VMs and EKS cluster capacity, performance, availability requirements and policies, together with a cost-optimized balance of instance types and purchasing options (reserved, spot, on-demand).
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Dimension | Description | Cost/unit |
|---|---|---|
Tier based savings with Spot optimization for EG/Ocean | Tier based savings with Spot optimization for EG/Ocean | $0.001 |
For information regarding private offer rates, please contact us. | Contact for private offer only | $0.15 |
EG and Ocean managed savings by infrastructure optimization for VMs + Containers | EG and Ocean managed savings by infrastructure optimization for VMs and Containers | $0.28 |
100 vCPU hours run for OD, RIs, SPs, RC and CUD | 100 vCPU hours run for OD, RIs, SPs, RC and CUD | $1.415 |
100 vCPU hours run for Spot Instances or Preemptible VMs | 100 vCPU hours run for Spot Instances or Preemptible VMs | $1.415 |
Dimensions summary
Spot by NetApp's pricing dimensions on AWS Marketplace reflect different optimization strategies for cloud resource management. There are two main dimensions; Savings and vCPU. Savings is a dimension based on cost savings achieved through reserved commitment management or Spot Instance usage. It is charged as a percentage of savings. vCPU is a usage-based dimension, measured in 100 vCPU hour increments. They are differentiated between on-demand/reserved instances and Spot/preemptible instances, allowing customers to pay based on their actual compute consumption patterns.
Top-of-mind questions for buyers like you
How does Spot.io calculate the savings-based pricing dimensions?
Spot.io's savings-based pricing is calculated as a percentage of the actual cost savings achieved through their optimization strategies. This includes savings from optimizing reserved commitments or using Spot Instances, where you pay only a portion of the demonstrated cost reduction.
What does the vCPU hours pricing dimension cover?
The vCPU hours pricing applies to the actual compute resources consumed, measured in 100-hour increments. Different rates apply depending on whether you're using On-Demand/Reserved Instances or Spot/Preemptible instances, allowing for transparent usage-based billing aligned with your infrastructure choices.
How does the tier-based savings model work with Spot optimization?
The tier-based savings model offers different pricing rates based on your total cloud spend and optimization potential. As your cloud usage increases and you leverage more of Spot.io's optimization capabilities through Elastigroup (EG), Ocean, or Eco, you may qualify for more favorable pricing tiers that reduce the percentage of savings charged or rates associated with vCPUs.
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Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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24/7 support from Spot engineers via in-app chat, Email or phone
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AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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By Umbrella
By VMware Tanzu CloudHealth
Top
10
In Application Servers, IT Business Management
Top
25
In ML Solutions
Top
10
In Business Intelligence & Advanced Analytics
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Machine Learning-Driven Infrastructure Optimization
AI/ML algorithms that continuously analyze and optimize the blend of reserved instances, savings plans, spot instances, and on-demand resources to balance cost efficiency with performance and reliability requirements.
Container-Native Workload Management
Serverless infrastructure management for Kubernetes, EKS, and ECS with automatic scaling, bin-packing, and right-sizing of pods.
Multi-Resource Autoscaling
Automated autoscaling across spot instances, reserved instances, savings plans, and on-demand resources without requiring manual tuning or configuration.
Cloud Cost Analytics and Visibility
Granular cost analytics with integration capabilities that provide visibility across performance, cost, usage, and reliability metrics for resource accountability.
AWS-Native Integration
Turnkey integrations with EC2, Auto Scaling Groups, EKS, CloudFormation, Terraform, and CloudWatch for seamless deployment and monitoring.
Real-time Cost Monitoring and Anomaly Detection
AI-powered anomaly detection continuously monitors cloud and SaaS spend in real time to surface unexpected cost spikes before they become costly issues.
Multi-cloud Cost Aggregation and Unified Visibility
Unified cost data aggregation across AWS, Azure, and GCP with accurate billing data available within 24 hours, enabling tracking of costs across all cloud providers in a single platform.
Kubernetes and EKS Cost Allocation
Correlates Kubernetes metrics with AWS CUR and pricing data to reveal pod and node utilization, application-level costs, and waste, enabling accurate allocation of EKS spend including shared and idle resources.
Demand Forecasting and Cost Prediction
Runs forecast models on historical CUR files to generate demand forecasts for future cloud resource consumption and spending patterns.
Multi-Cloud Cost Visibility
Report and analyze cloud spend across multiple cloud providers with dynamic business grouping and custom reporting capabilities.
Resource Optimization and Rightsizing
Provide recommendations for infrastructure rightsizing and management of Reserved Instances and Savings Plans to eliminate wasted spending.
Policy-Based Governance Engine
Implement dynamic policies and automated actions to enforce continuous optimization, including resource termination, budget adherence, and anomaly detection.
Infrastructure Analysis and Reporting
Analyze cloud infrastructure through customizable business groups with rich data visibility for multi-cloud environment management.
Cost Chargeback and Showback
Enable accurate cost allocation and billing transparency through customizable chargeback and showback mechanisms for multi-cloud environments.
Standard contract
No
No
No
Customer reviews
Bruna Müller
Centralized asset data has transformed how we manage licenses and make cost-saving decisions
Reviewed on Apr 13, 2026
Review provided by PeerSpot
What is our primary use case?
For the past two years, I have been developing a project to implement Spot by Flexera as a software asset management tool. It is used to manage all the IT assets and software licenses within all the legal entities of the company that I work for.
I used Spot by Flexera to connect different data sources to be aware of all software installations in different legal entities of the company. I also became aware of the IT assets that the company had and was able to manage different software licenses.
What is most valuable?
Before using Spot by Flexera, we had to combine Excel sheets to perform different reports. The best feature for us was that we were able to cross over different data sources and in a couple of seconds we could create a report that connected all the IT assets, all the software licenses, and all the software installations. We were able to filter this information, and it was very useful to make decisions and analyze our data.
Spot by Flexera Academy was also very important. Since we were implementing Spot by Flexera in different legal entities, we had to train different stakeholders to start using the tool. It was very important that Spot by Flexera had already a huge amount of data that we could use to train other people to start using the tool.
Since Spot by Flexera is an open source tool, we had more flexibility and freedom to connect Spot by Flexera within our servers and different data sources. That was the reason we chose Spot by Flexera as our software asset management tool.
Since we were implementing Spot by Flexera in different legal entities in a multinational company, we were talking about many different data sources and many APIs that we had to perform to connect Spot by Flexera within all of our servers and Active Directory from Azure . This flexibility made it possible for us to connect all of our data and trust that Spot by Flexera had accurate and updated data to perform reports in different offices across the world.
What needs improvement?
One problem that we faced using Spot by Flexera is that in certain servers, the data was not being updated correctly, and we had a certain delay. For example, someone was using a computer, and then this user received a new one. In Spot by Flexera, we could see both computers, the old and the new one, but the system was not recognizing that the old one was no longer being used. We had a couple of IT assets that were not being used, and we had this information in our internal servers, but Spot by Flexera was not able to update on time. We had to fix this information manually.
For how long have I used the solution?
I have been using Spot by Flexera for two and a half years.
What do I think about the stability of the solution?
One problem that we faced using Spot by Flexera is that in certain servers, the data was not being updated correctly, and we had a certain delay. For example, someone was using a computer, and then this user received a new one. In Spot by Flexera, we could see both computers, the old and the new one, but the system was not recognizing that the old one was no longer being used. We had a couple of IT assets that were not being used, and we had this information in our internal servers, but Spot by Flexera was not able to update on time. We had to fix this information manually.
What do I think about the scalability of the solution?
Spot by Flexera was a very easy tool to implement in different regions and different legal entities. It had very good usability for teaching new stakeholders to use it. It is also a very easy tool to connect to different data sources and different servers since it is open source. The scalability was very good to implement in a multinational context.
How are customer service and support?
The customer support was very good. We did not have to use it many times, but the few times that we did use it, it was very fast and very useful.
Which solution did I use previously and why did I switch?
We did not have any software asset management tools before, so Spot by Flexera was our choice as our software asset management tool.
How was the initial setup?
Spot by Flexera was a very easy tool to implement in different regions and different legal entities. It had very good usability for teaching new stakeholders to use it.
What about the implementation team?
My main advice is to have executives and management stakeholders be part of the project to implement Spot by Flexera, but also to have stakeholders with expertise in Spot by Flexera and APIs related to Spot by Flexera. At a certain point, when we were connecting a couple of servers and data sources, we had to hire someone with this expertise. We were able to translate our business needs and be 100 percent sure that the API was being created and was going to provide the information that we needed.
What was our ROI?
Using Spot by Flexera made it possible for us to save a lot of cost. We were also able to monitor our software installations better. By using Spot by Flexera across a year, we were able to save more than 500,000 euros.
A lot of time was saved. We were taking a couple of days to create and provide certain reports that by using Spot by Flexera we were able to create in a couple of minutes by crossing over different data sources. We were then able to make better decisions based on that. A lot of money was saved after starting to use Spot by Flexera. I would say around 500,000 euros per year, and the software was not even used in all the legal entities yet. We were just implementing in a pilot group. The potential for cost savings was even bigger. We did not have any negative impact of having fewer employees because of Spot by Flexera. We were actually using more stakeholders by making more stakeholders use the tool, and we were then training those people as well.
What's my experience with pricing, setup cost, and licensing?
I was working as a license manager, so I was aware of different pricing, setup costs, and licensing across the company, but I was only responsible for a couple of vendors and the setup cost was actually provided by procurement, so it was not my direct responsibility.
Which other solutions did I evaluate?
We evaluated ServiceNow and also other software asset management tools, but since Spot by Flexera was the only one that was open source and it was more compatible with our servers, we also had a software vendor that provided Spot by Flexera, so it was our main choice because of those reasons.
What other advice do I have?
The interface of Spot by Flexera was very simple to use. Spot by Flexera Academy had lots of important information that made the usage even easier. In general, I do not think there are any additional needs to improve. Spot by Flexera is a very good tool that provides different possibilities for managing software licenses, IT assets, and creating reports in a very fast and up-to-date way. I would rate this review 9 out of 10.
Karan Saini
Intelligent autoscaling has cut compute costs and now manages ephemeral workloads efficiently
Reviewed on Jan 09, 2026
Review from a verified AWS customer
What is our primary use case?
My primary use case for Spot revolves around managing and optimizing my compute infrastructure across AWS , mainly EC2 and EKS on a daily basis, such as monitoring the workloads and ensuring that Kubernetes and EC2 instances are provisioned, scaling, and replacing spot instances for ephemeral tasks.
Recently, I have been using Spot for Kubernetes through Ocean, which continuously analyzes pod capacity requirements and adjusts the node groups accordingly. It helps handle node drains, rebalancing, and spot interruption gracefully without requiring custom automation. I have been using it recently for provisioning ephemeral tasks for applications such as stateless applications.
Another main use case for Spot revolves around managing ephemeral tasks or stateless application workloads. Additionally, I focus on cost optimization and optimization of my overall work nodes so that I do not need to manage everything or the nodes for my workloads.
What is most valuable?
Spot overall is a really good tool, and the best feature is the intelligent autoscaling engine it has. It looks at pod requests, historical usage, interruption risk, and pricing trends to choose the best instance type at the lowest cost. The fact that it can mix dozens of instance families dynamically is something which the AWS native autoscalers simply cannot do. I also love the zero-downtime node replacement.
Spot's zero-downtime mode replacement has helped my team by enabling us to reduce our operational overhead. I no longer maintain custom scaling scripts, which has saved several hours or weeks of SRE and DevOps time.
Spot has impacted my organization positively by delivering a very clear ROI. My compute costs have reduced, capacity and production output have increased, and my overhead for maintaining custom scripts or doing some of the tasks manually has been saved. It has saved significant time and resources and given my organization a better competitive edge.
What needs improvement?
I think overall Spot is quite good. The UI is powerful, but it can feel a bit dense for some new users. More guided onboarding would help teams adopt advanced features faster, and deeper insights into Kubernetes resource usage would be beneficial. Overall, it is a really good platform that is quite mature and stable.
I chose a rating of nine because it may sometimes be a bit overwhelming for newcomers, and there are also a few areas in which the EKS Kubernetes level granularity is a little missing. Overall, I think Spot is a really good and stable tool.
For how long have I used the solution?
I have been using Spot for two years.
What do I think about the stability of the solution?
Spot is stable and quite mature.
What do I think about the scalability of the solution?
Spot's scalability is quite good, and it can be expanded to multiple environments.
How are customer service and support?
The customer support is quite good. I did not need to reach out to them a lot, but I think it was good.
Which solution did I use previously and why did I switch?
Previously, I was using native solutions only.
Before choosing Spot, I evaluated other options. I was totally dependent on native tools, but I assessed some alternatives such as Cast AI, which was a combination of a few tools including Cast AI and Carpenter for EKS. However, I chose Spot because it provided more automation, smarter instance selection, and had features of many other alternative tools combined in one.
How was the initial setup?
I purchased Spot through the AWS Marketplace .
What was our ROI?
I cannot share the exact number, but I can share the figure that my EC2 and EKS compute cost reduced by around 65 to 75% with Spot. This was because I was able to reduce some workloads for stateless applications, which needed ephemeral storage for running tasks and processing. This has helped me a lot because my overall operational overhead has been reduced significantly, and I save a lot of time from otherwise managing the servers or maintaining everything properly.
I have seen a return on investment as I was able to reduce my compute cost by 60 to 65% for some of my applications that needed light temporary processing tasks with ephemeral storage and stateless applications. It has also reduced some of my overheads because I do not need custom scaling scripts. It has saved me several hours a week for my key SREs and my DevOps teams.
What's my experience with pricing, setup cost, and licensing?
The experience with pricing, setup cost, and licensing has been quite good. The pricing is reasonable and convenient, and the value it offers is completely in line with what I am spending. I think this is really good. However, the exact licensing part is handled by some other members of my team.
What other advice do I have?
I would definitely recommend Spot for those looking to run their workloads on AWS, especially those needing cheaper compute for tasks that will not require much for temporary processing. For scaling up and down existing applications, Spot is really one of the best investments you can make, especially for EKS. I gave this product a rating of nine out of ten.
reviewer2535045
Storage savings have remained limited but automation now reduces manual effort on cloud costs
Reviewed on Jan 05, 2026
Review from a verified AWS customer
What is our primary use case?
Our main use case for Spot is to optimize our cloud cost, specifically the AWS cloud cost, by buying proper savings plans and commitments so that we can effectively manage the overall compute savings that we are doing. That is the immediate use case, and in the future, we would like to use Spot Instances and conduct a POC with that to reduce further AWS costs.
In the future, we would like to utilize Spot Instances and implement some automation in place to leverage that aspect from AWS, thereby reducing the overall running compute costs.
What is most valuable?
The best features Spot offers include the overall tool, the dashboard, and the major impact it has in our organization, which is to reduce costs from both a commitment management perspective and with Spot Instances along with the automation behind it.
The dashboard and automation features stand out to me because currently, we do not have a mechanism to detect whether a particular instance is going to expire within AWS when we are using a Spot Instance. Spot helps us detect such changes within AWS at least one hour prior, allowing us to have a mitigation plan in place and host other servers within the same setup to avoid impacting the application. This automation has helped us significantly since previously we were trying to use Spot Instances but were unable to implement that. One use case we plan to implement within the next few months is the overall commitment savings, which we used to manage manually, but with Spot, it automatically helps us detect when and what kind of instances to purchase, making it easier for us to manage our overall commitment for the savings plan.
Spot has impacted my organization positively so far, showing some cost savings to a certain extent. I believe that over the next few months, we will obtain a proper number in terms of cost savings, but I can already see certain cost savings from the past few months.
What needs improvement?
Spot could be improved by adding features that help identify data to optimize storage costs by detecting datasets within our environment based on criteria such as age and usage.
Storage optimization is the only need on my wish list for Spot.
For how long have I used the solution?
We have been using Spot very recently, so it has been close to a year that we are using it.
What do I think about the stability of the solution?
Spot has been stable so far.
What do I think about the scalability of the solution?
I have not yet checked the scalability of Spot because we are using it for all the services running on AWS. As of now, I feel it is meeting our expectations, though I have not tested it for scalability at higher volumes.
How are customer service and support?
My experience with customer support has been good.
How would you rate customer service and support?
Negative
Which solution did I use previously and why did I switch?
We did not previously use any other solution.
How was the initial setup?
Deploying Spot in my environment was quite easy; it did not take long at all, just a few hours to integrate with AWS.
My experience with the configuration process was good; it was straightforward as we followed the documentation and were able to complete it successfully.
What about the implementation team?
I found the procurement process easy since we completed it through the AWS Marketplace , making it straightforward.
There was nothing concerning regarding pricing, setup costs, or licensing, as it was processed through the Marketplace and based on the savings model.
What was our ROI?
I have not seen a return on investment yet. I believe it will take another four to five months to get the return on investment.
What's my experience with pricing, setup cost, and licensing?
My experience with the metering and billing has been very good.
There is nothing specific that I did not like about the metering and billing experience.
Which other solutions did I evaluate?
We did not evaluate other options before choosing Spot. We were looking at other kinds of tools, but none had the same kind of features as Spot.
What other advice do I have?
I purchased Spot through the AWS Marketplace .
My experience with Spot so far has shown a few noticeable changes. We are not renewing the new savings plan that we were doing earlier, and the changes we have been implementing have helped us to reduce some fraction of cost. However, I believe it will take another five to six months to reflect the actual savings since certain EC2 instances we are running still have an existing savings plan. Once those savings plans expire, we will be able to get the maximum savings out of it.
I find these two features quite useful for us and we have been using them. Spot is very new to us, and over the next few months, we may evaluate more features and possibly conduct a POC with those.
As of now, I can forecast approximately 5% to 7% cost savings that I have noticed.
Cost saving is the main benefit, and the manual effort required for reviewing and purchasing savings plans and other RIs is something we do not have to manage manually now, as we get automatic suggestions from Spot. This additional aspect has helped us significantly. It will take a few more months for us to further review the other features that this product has.
I rated Spot as a four out of five because storage optimization would make it a five for me.
My advice for others looking into using Spot is to definitely proceed with it for a more robust solution in terms of cost management. Spot helps manage savings plans and RIs that are difficult to handle manually. Leveraging the automation feature for managing Spot Instances can provide additional benefits.
Which deployment model are you using for this solution?
Hybrid Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
reviewer2784786
Cloud optimization has transformed our cost control and now drives efficient FinOps decisions
Reviewed on Dec 08, 2025
Review from a verified AWS customer
What is our primary use case?
I have been using Spot for five years. My main use case for Spot is cloud optimization.
We use Spot for optimization by leveraging real-time optimization as well as auto-optimization. The company allows organizations to achieve substantial savings on their cloud spend and helps realize a reduction in costs by 50 to 70 percent. It improves resource utilization and reliability, enhances agility by enabling teams to adapt seamlessly to changing demands, and supports FinOps practices for better financial governance. It integrates with major cloud providers such as AWS and is available in the marketplace, allowing customers to benefit from decreased spend while sellers mutually benefit due to their compensation, which enables us to account plan and achieve the best outcome for the customer.
Overall, the main takeaway is that Spot helps the organization maximize efficiency while reducing costs across cloud environments.
What is most valuable?
The best features that Spot offers include automated cost optimization, advanced container and Kubernetes management, and extensions to security as well as compliance, AI-driven insights, and multi-cloud integration, enabling organizations to work across different cloud environments and benefit any customer.
Spot's automated cost optimization works by continuously analyzing the workload and applying policies to minimize cloud spend without sacrificing performance. Spot automatically chooses the most cost-effective mix of pricing models such as spot instances, reserved instances, savings plans, and on-demand based on real-time demand and availability.
Spot has positively impacted our organization by automating cloud resource management, which has significantly cut costs and improved efficiency. We have seen up to 70 percent savings, as well as better scalability, reliability, and tighter integration with AWS . This integration has opened several doors to the partner ecosystem, different marketplaces, and has allowed us to leverage programs while tapping into the Amazon network and ecosystem more effectively.
What needs improvement?
Spot can be improved by adding deeper multi-cloud integrations, enhancing real-time security automation, and continuously making advancements based on customer feedback.
For how long have I used the solution?
I have been working in my current field for a little over five years.
What do I think about the stability of the solution?
Spot is stable.
What do I think about the scalability of the solution?
Spot's scalability is strong.
How are customer service and support?
The customer support is strong. I would rate the customer support a nine out of ten.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
I did not previously use a different solution.
How was the initial setup?
We purchased Spot through the AWS Marketplace .
What about the implementation team?
The pricing, setup cost, and licensing are handled by another team.
What was our ROI?
The 70 percent savings were measured through our cost optimization. Our technology predicts demand, selects the cheapest instance mix, sizes the workloads appropriately, and scales it automatically based on policy, resulting in significant savings by reducing manual work and enhancing our flexibility, which has helped accelerate our deployments.
What's my experience with pricing, setup cost, and licensing?
Our company purchased Spot through AWS Marketplace .
Which other solutions did I evaluate?
I did not evaluate other options before choosing Spot.
What other advice do I have?
My advice to others considering using Spot is to understand the benefits and identify relevant use cases. If they are involved in CloudOps or FinOps, I highly suggest they look into Spot due to the cost savings we have experienced, the reduction of manual effort, and the overall visibility into their environment that allows for intelligent decision-making on their roadmap moving forward. My company has a business relationship with this vendor as both a customer and partner. I would rate this product a ten out of ten overall.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
reviewer1200537
Unlock versatile data access with robust SASA solutions
Reviewed on Oct 11, 2024
Review provided by PeerSpot
What is our primary use case?
Spot by NetApp is primarily used for backup and also for Fiservware.
What is most valuable?
The product is valuable due to features such as the SASA solution and the disk array from NetApp . The solution offers both block access and file access, making it a nice solution for customers.
What needs improvement?
There are no particular areas for improvement I can identify.
For how long have I used the solution?
I have been working with Spot by NetApp for around ten years.
What do I think about the stability of the solution?
Spot by NetApp is stable, and there are no problems with it.
What do I think about the scalability of the solution?
Spot by NetApp has quite good scalability.
How are customer service and support?
We have contacted their support, and they are responsive and helpful.
Which solution did I use previously and why did I switch?
We previously worked with Dell Avamar but are now using NetApp solutions.
How was the initial setup?
Deployment usually takes around one day.
What about the implementation team?
Only one engineer is usually involved in the deployment process.
What was our ROI?
It provides a good financial benefit for the organization.
What's my experience with pricing, setup cost, and licensing?
Spot by NetApp is reasonably priced compared to other products on the market. Pricing is around a nine out of ten.
What other advice do I have?
Spot by NetApp is a reliable product with good support, making it recommendable.
I'd rate the solution nine out of ten.