

Sisense and Spot by Flexera compete in the analytics and cloud cost management sectors. Sisense stands out for its analytical capabilities, while Spot provides notable cloud optimization features, making it ideal for cost management.
Features: Sisense provides advanced analytics, customizable dashboards, and integration with multiple data sources enabling rapid insights. Spot by Flexera excels with automated cloud infrastructure to reduce costs, efficient Kubernetes management, and AI-driven insights for cloud environments.
Room for Improvement:Sisense could enhance its real-time data processing and expand customization options for non-technical users. Spot by Flexera could improve its documentation for ease of understanding and provide more granular insights into cost savings.
Ease of Deployment and Customer Service:Sisense offers a straightforward deployment with comprehensive documentation and proactive customer service. Spot by Flexera emphasizes a cloud-first strategy for easy scalability, with good but not exhaustive support resources.
Pricing and ROI:Sisense features flexible pricing models, offering high ROI through analytics power. Spot by Flexera provides competitive pricing focusing on significant cloud savings, delivering noticeable ROI for cloud-heavy businesses.
Due to the data presented to stakeholders, they are able to make informed decisions that impact the day-to-day operations of the client, giving them more insights into what's happening within their organization.
I have seen a return on investment in that we can manage the Sisense environment with a very small number of users.
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.
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.
The support was very good.
We typically get responses within 24 hours.
I would rate the customer support a nine out of ten.
It is scalable to a very large extent and we can integrate any third-party tools.
Sisense works really well for simple to medium use cases and scales well.
Spot's scalability is quite good, and it can be expanded to multiple environments.
I would like to see an improvement in the live data connection, specifically making the process faster.
Sisense should provide more support for CI/CD, as we found the CI/CD approach quite limited.
I give Sisense a nine because the integration with some third-party tools is good.
Continuously making advancements based on customer feedback.
More guided onboarding would help teams adopt advanced features faster.
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.
My experience with pricing, setup cost, and licensing shows that pricing is a little bit higher when compared to other applications, but that justifies the use case.
They were practically dead even from a pricing perspective.
The pricing is reasonable and convenient, and the value it offers is completely in line with what I am spending.
Sisense has positively impacted my organization by drastically reducing the time taken to build the data cube, and we can see real-time analytics.
It offers two ways to access data: by cubing the data or hitting it live.
It allows the user to cater to different use cases and is a very fast aggregator across different data sources, giving you the historical context and helping in operationalizing your data.
The fact that it can mix dozens of instance families dynamically is something which the AWS native autoscalers simply cannot do.
Spot's automated cost optimization works by continuously analyzing the workload and applying policies to minimize cloud spend without sacrificing performance.
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.
| Product | Market Share (%) |
|---|---|
| Spot | 20.5% |
| Sisense | 3.0% |
| Other | 76.5% |

| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 7 |
| Large Enterprise | 11 |
Sisense is an end-to-end business analytics software that enables users to easily prepare and analyze large, complex datasets. Sisense’s Single-Stack BI software includes data preparation, data management, analysis, visualization and reporting capabilities.
Spot by Flexera provides automated cost optimization and container management with multi-cloud integration, achieving up to 70% savings and greater efficiency. It adapts to demand changes using AI-driven insights.
Spot enables organizations to optimize cloud infrastructure in environments such as Kubernetes, AKS, EKS, and AWS. It offers advanced automation features for managing resources, leading to reduced overhead and increased production output. Spot's intelligent autoscaling and node replacement capabilities enhance scalability and reliability. While the platform lacks some granularity in EKS Kubernetes insights, it remains stable and mature, helping organizations minimize costs and improve resource utilization. Opportunities for improvement include OCI support, more detailed multi-cloud integrations, and enhanced Kubernetes insights.
What features does Spot by Flexera offer?In industries heavily reliant on cloud-based services, Spot by Flexera is crucial for optimizing resource management and cost efficiency. Organizations leveraging Spot in sectors like technology and finance benefit from real-time optimization techniques and improved governance processes.
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