

Sumo Logic Observability and IBM Instana Observability are leading competitors in the observability market. While both offer distinct advantages, IBM Instana tends to have an upper hand due to its advanced AI-driven insights and automation, crucial for complex environments.
Features: Sumo Logic Observability offers significant strengths with its extensive integrations, real-time analytics, and robust security. Its capacity to handle large volumes of logs is highly regarded. IBM Instana stands out with automatic application monitoring, AI-powered analytics, and strong automatic discovery capabilities, ideally suited for environments demanding advanced application understanding and optimization.
Ease of Deployment and Customer Service: Sumo Logic provides a straightforward deployment process accompanied by a wide range of support options, ensuring smooth implementation. IBM Instana emphasizes automation and minimal configuration during deployment, supported by insightful technical assistance. Its extensive automation is particularly beneficial for enterprises looking for minimal manual intervention.
Pricing and ROI: Sumo Logic is often seen as cost-effective, featuring a flexible pricing model that offers good ROI for businesses seeking comprehensive observability with a lower entry cost. IBM Instana's pricing reflects its sophisticated features and AI capabilities, delivering significant ROI for environments benefiting from its advanced analytics and automation.
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.
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.
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.
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.
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 | Market Share (%) |
|---|---|
| Sumo Logic Observability | 0.5% |
| IBM Instana Observability | 0.9% |
| Other | 98.6% |


| Company Size | Count |
|---|---|
| Small Business | 6 |
| Large Enterprise | 5 |
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.
Sumo Logic Observability offers advanced monitoring solutions with features like integrated dashboards and querying capabilities, though presents a learning curve compared to alternatives. Designed for efficient log aggregation and analysis, it provides near-real-time updates facilitating improved incident resolution.
Sumo Logic Observability stands out with its ability to unify teams through a single platform, offering features that include customizable dashboards and valuable apps. It provides powerful log tracing and centralized management, designed for organizations focused on log aggregation, analysis, and expanding SIEM capabilities. While it has a steeper learning curve compared to some competitors, it excels in tailored integrations that enhance log searches. Users find themselves able to monitor, automate, and centralize log repositories for effective debugging. Despite its strengths, improvements in data enrichment and documentation organization are needed as current query functions can be slow, impacting efficiency. Users have also mentioned needing pre-built dashboards and better tab management for enhanced functionality. Cost management remains a notable consideration for users evaluating Sumo Logic Observability.
What features make Sumo Logic Observability effective?Sumo Logic Observability is implemented across industries predominantly for managing and analyzing extensive data sets, offering capabilities critical for SIEM activities and security examinations. By facilitating quick data visualization and transaction tracking, organizations in sectors such as finance, healthcare, and technology benefit from its robust framework to support infrastructure logging and large-scale data management, contributing to effective monitoring and system operations.
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