

Find out in this report how the two AI Observability solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
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.
SentinelOne Singularity AI SIEM has reduced our response time to true positive alerts by approximately forty percent through automation.
At the moment, I feel the pricing is a little bit on the higher side, but the tool is positioned in a place where risk is very high, and we do not want to take chances, so we are prepared to pay the premium.
The effect of SentinelOne Singularity AI SIEM on our customers' SOC efficiency in investigating alerts and responding to incidents is significant.
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.
SentinelOne Singularity AI SIEM has AI-based technical support available.
Based on my experience with the technical support of SentinelOne Singularity AI SIEM, I would rate them a ten.
In rating the technical support for SentinelOne, it depends on whether we are discussing EDR or SentinelOne Singularity AI SIEM.
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.
With any AI adoption, the end goal should be more governance and data security and safety.
The performance depends on the configuration.
It is scalable, and we can increase the compute size. It can scale. There are no challenges.
When it comes to stability, I would give SentinelOne Singularity AI SIEM a nine.
In terms of performance stability, I have never had any crashes, downtimes, or performance issues.
Even the data lake feature they have, in terms of keeping all the logs intact, those log searches are extremely fast on SentinelOne Singularity AI SIEM, even though the data is very high.
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.
The adoption rate will be less compared to other products, as this can be a time-taken process because all my data needs to be offloaded and the system needs to understand my existing alerts, logs, and other things.
The interface flickers frequently, and sometimes it does not load properly.
Whenever OT security comes into the picture, the customers do not allow us to integrate their OT devices on a cloud. It should be available on-premises because the OT SIEM market, in the India market for instance, is something around a four to eight billion dollar market.
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.
I find SentinelOne's pricing to be reasonable and competitive.
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.
We finally have visibility into things that were never visible before.
It employs a combination of AI and ML to check for viruses or any other malicious processes, including fileless attacks.
The AI-driven threat detection capabilities improve our overall security posture.
| Product | Mindshare (%) |
|---|---|
| IBM Instana Observability | 1.1% |
| SentinelOne Singularity AI SIEM | 1.2% |
| Other | 97.7% |

| Company Size | Count |
|---|---|
| Small Business | 6 |
| Large Enterprise | 5 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 3 |
| Large Enterprise | 3 |
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.
SentinelOne Singularity AI SIEM offers comprehensive security information and incident management designed to enhance threat detection, response, and investigation capabilities within enterprise environments.
SentinelOne Singularity AI SIEM is known for its robust capabilities in the realm of cybersecurity, providing organizations with an advanced tool to combat modern threats. The platform integrates machine learning and artificial intelligence to automate threat identification and streamline incident response processes. Its intuitive interface allows teams to manage security events efficiently, ensuring rapid reaction to potential vulnerabilities. As a scalable tool, it adapts to evolving security demands, providing valuable insights to safeguard critical business operations.
What are the important features of SentinelOne Singularity AI SIEM?In industries such as finance and healthcare, implementation of SentinelOne Singularity AI SIEM often means tailored solutions to protect sensitive data, meeting regulatory compliance. These sectors appreciate its capability to provide detailed insights and reduce the risk of data breaches, thus preserving stakeholder trust.
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