

Elastic Observability and IBM Instana Observability compete in the observability and monitoring tools sector. Elastic shines with its customization and integration flexibility, while IBM Instana excels in real-time monitoring and detailed analytics.
Features: Elastic Observability is known for its log analytics capabilities, customizable dashboards, and flexibility in integration, offering extensive connectors and scalability across varied IT environments. IBM Instana Observability provides real-time monitoring, quick data outputs, and end-to-end request tracing, simplifying the troubleshooting process with its organized interface and comprehensive analysis tools.
Room for Improvement: Elastic Observability could improve by addressing its complex pricing model and enhancing AI features while easing the learning curve for new users. IBM Instana Observability might benefit from reducing false positives and improving alerting integrations, along with simplifying its user interface to handle heavy data loads more efficiently.
Ease of Deployment and Customer Service: Elastic Observability supports deployment across on-premises, hybrid, and cloud environments with strong community support but occasionally inconsistent technical support. IBM Instana, typically used in cloud environments, is noted for its generally positive customer support, although there is room for improvement regarding complex requests.
Pricing and ROI: Elastic Observability's pricing can be higher for smaller enterprises due to variable costs based on data ingestion and licensing fees, while larger enterprises might find it more affordable. IBM Instana offers a simpler pricing model based on monitored hosts, providing all necessary features, which is considered more straightforward and affordable. Both solutions have proven ROI through efficiency and incident reduction, although Elastic's ROI can be less transparent due to its customization options.
Elastic Observability has saved us time as it's much easier to find relevant pieces across the system in one screen compared to our own software, and it has saved resources too since the same resources can use less time.
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.
Elastic support really struggles in complex situations to resolve issues.
Their excellent documentation typically helps me solve any issues I encounter.
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.
I rate the scalability of Elastic Observability as a ten, as we have never seen issues even with a lot of data coming in from more customers, provided we have the appropriate configuration.
Elastic Observability is easy in deployment in general for small scale, but when you deploy it at a really large scale, the complexity comes with the customizations.
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.
There are some bugs that come with each release, but they are keen always to build major versions and minor versions on time, including the CVE vulnerabilities to fix it.
I would rate the stability of Elastic Observability as a ten, as we don't experience any issues.
For instance, if you have many error logs and want to create a rule with a custom query, such as triggering an alert for five errors in the last hour, all you need to do is open the AI bot, type this question, and it generates an Elastic query for you to use in your alert rules.
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
Some areas such as AI Ops still require data scientists to understand machine learning and AI, and it doesn't have a quick win with no-brainer use cases.
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.
Observability is actually cheaper compared to logs because you're not indexing huge blobs of text and trying to parse those.
Many customers struggle to understand their total cost of ownership because Elastic licensing is not dependent on easy, quantifiable metrics such as number of users or amount of data.
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.
the most valued feature of Elastic is its log analytics capabilities.
Every integration, whether for Windows or Linux or even Palo Alto or Fortinet, installs the out-of-the-box dashboards along with it, making it easy to parse incoming data meaningfully and immediately start viewing dashboards to see what's happening in the platform.
The best features of Elastic Observability are their flexibility to integrate with other existing systems and the ability to build a unified monitoring tool that can integrate with existing ones and end-to-end user journeys which require a lot of customizations.
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.
| Product | Mindshare (%) |
|---|---|
| Elastic Observability | 1.5% |
| IBM Instana Observability | 0.7% |
| Other | 97.8% |


| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Large Enterprise | 5 |
Elastic Observability is known for its powerful search capabilities, central logging, and integration with cloud-native tasks. It enhances monitoring for applications and systems through its flexibility and machine learning features.
Elastic Observability is a robust tool offering end-to-end monitoring and performance analysis, widely utilized for application performance monitoring, centralized logging, and metrics collection. Kibana enables data visualization and connection of sources, while the platform aids in incident response with real-time insights. Despite its complex learning curve, limited customization, and licensing challenges, it remains valuable for businesses seeking to improve operational efficiency with additional support from log analytics and system automation.
What are the key features of Elastic Observability?A wide range of industries apply Elastic Observability for its capabilities in capturing significant data points to offer insights into business and technical performance. Its applications span log events, application monitoring, network protocol monitoring, and more, aiding in data-driven decision-making processes within sectors like IT, finance, and e-commerce.
IBM Instana Observability offers real-time metrics, one-second resolution, and integrates alerts with Slack and email, enhancing IT and application monitoring. It aids teams in identifying system issues quickly and effectively, streamlining IT management.
IBM Instana Observability provides a single-vendor solution for seamless observability in distributed environments, integrating one-second resolution metrics, robust application monitoring, and detailed observability maps. Its comprehensive dashboards enhance collaboration by offering real-time insights into infrastructure, traffic flow, and incident tracking. Enhanced tracing and business monitoring help in identifying bottlenecks, improving efficiency. Users can customize dashboards for tailored insights, though some suggest integrating log management and improving interface speed with large datasets. Additional challenges include alerting integration complexity and the need for advanced AI models. Enhancements in reporting, particularly with Cognos, and better support are areas of user feedback.
What features make IBM Instana Observability effective?IBM Instana Observability is widely deployed in monitoring infrastructure and application performance, especially in distributed systems like Kubernetes and OpenShift. It is utilized for insights into microservices management, dynamic communication tracking, and service dependency identification. Popular in academic and consultancy sectors, the tool supports everything from databases to cloud platforms and employs synthetic monitoring to check endpoints effectively.
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