

Prometheus-AI Platform and IBM Instana Observability are competitors in the observability market. IBM Instana holds an advantage due to its comprehensive features, offering significant long-term value despite its premium cost.
Features: Prometheus-AI Platform includes scalable monitoring capabilities, robust alerting, and strong data retention, making it suitable for data-centric ecosystems. IBM Instana provides real-time application insights, automated root cause analysis, and advanced analytics, enhancing system visibility and operational efficiency.
Ease of Deployment and Customer Service: Prometheus-AI Platform offers flexibility and customization for diverse infrastructures, backed by efficient customer service. IBM Instana ensures a seamless deployment process with extensive documentation and direct support, facilitating faster setup and maintenance.
Pricing and ROI: Prometheus-AI Platform has a lower setup cost, appealing to budget-conscious organizations and offering attractive ROI. IBM Instana, with higher initial investment, delivers significant ROI through its advanced features, maximizing operational efficiency and business insights.
It provides a single pane of glass from which I can see what is happening with all the servers in my infrastructure, which saves time.
It made a notable difference from when we were almost blind to being able to respond to calls immediately.
If we have a monitoring tool, we can save our transactions and see the performance of the application using MTTR and MTTD.
Using open-source Prometheus saves me money compared to AWS native services.
They are very slow to respond and integrate new features.
IBM support for Instana is responsive and helpful.
We did have experiences where a significant issue arose during implementation, often involving compatibility problems with JavaScript libraries used by IBM Instana Observability.
Prometheus does not offer traditional technical support.
More innovations are coming in every day, so it is scalable and more applications are becoming container-based.
IBM Instana Observability demonstrates scalability, especially in dynamic, distributed environments such as microservices and Kubernetes.
Prometheus is scalable, with a rating of ten out of ten.
Deploying it on multiple instances or using Kubernetes for automatic management has enhanced its stability.
I had many false positives with IBM Instana Observability. Then I fixed the filters and it became more accurate on the errors reported.
One main issue I found with IBM Instana Observability was the customer support, which was very poor when we needed some features to be enabled or integrated into IBM Instana Observability sensors.
It is not open-source, and I have to be a partner to get more access to the products.
I find the cost of IBM Instana Observability to be very affordable compared to competitors because the pricing mechanism is based on the host that we monitor, unlike other competitors such as DataDog and Dynatrace, whose pricing is based on other factors.
It is not that costly, especially since we only use two instances.
I think the pricing is good and I do not think it is high.
Prometheus is cost-effective for me as it is free.
IBM Instana Observability has positively impacted my organization by making it easy to observe the entire infrastructure under one platform, which was the biggest advantage of onboarding onto IBM Instana Observability.
IBM Instana Observability has impacted my organization positively in that it has helped me find out what the issue is in real-time because of its one-second granularity and its ability to identify issues as quickly as possible.
With multiple servers and multiple applications, IBM Instana Observability allows us to resolve issues very quickly because we immediately know that a disk is full, the storage is full, or the database is down.
It allows me to save money by avoiding costs associated with AWS native services like CloudWatch or Amazon Prometheus.
| Product | Market Share (%) |
|---|---|
| IBM Instana Observability | 0.9% |
| Dynatrace | 6.6% |
| Datadog | 5.5% |
| Other | 87.0% |
| Product | Market Share (%) |
|---|---|
| Prometheus-AI Platform | 1.8% |
| IBM Maximo | 16.0% |
| Oracle Enterprise Asset Management | 7.8% |
| Other | 74.4% |


| Company Size | Count |
|---|---|
| Small Business | 6 |
| Large Enterprise | 5 |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 8 |
| Large Enterprise | 13 |
IBM Instana Observability offers real-time application monitoring and management, designed for automation and intelligence on modern cloud-based environments.
IBM Instana Observability provides deep visibility into application performance, empowering businesses with automated root cause analysis and intelligent alerts to optimize cloud-native applications. It captures and visualizes comprehensive health metrics to enhance operational efficiency across distributed systems, making it an invaluable tool for IT and DevOps teams seeking to improve application reliability and performance.
What are the key features of IBM Instana Observability?IBM Instana Observability is widely adopted across industries like finance, healthcare, and retail, addressing specific challenges in each sector. In finance, it helps manage high-volume transactions with minimal latency. Healthcare benefits from its compliance support and reliable data monitoring. Retail industries utilize it for maintaining seamless customer interactions and operational uptime, ensuring business continuity and customer satisfaction.
Prometheus-AI Platform offers flexible solutions for collecting, visualizing, and comparing metrics, appreciated for its scalability, rich integrations, and open-source adaptability.
Prometheus-AI Platform provides a reliable framework for monitoring and analyzing metrics across diverse environments. With extensive API support, it supports data collection, querying, and visualization, integrating seamlessly with tools like Grafana. High availability, scalability, and lightweight configuration make it suitable for traditional and microservice environments, while community support enhances its utility. Though its query language and interface require improvements for better ease of use, and with calls for stronger integration options, the platform remains a leading choice for comprehensive metric analysis.
What are Prometheus-AI Platform's main features?Companies leverage Prometheus-AI Platform across various industries, utilizing it to monitor and analyze metrics from applications and infrastructure. It is extensively used in financial services and IT sectors for collecting, scraping logs, and monitoring Kubernetes deployments. Deployed both on-premise and in cloud environments like Azure and Amazon, it supports system and application metrics analysis, ensuring a comprehensive view for developers.
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