IBM SevOne Network Performance Management (NPM) and InfluxDB are competitors in network performance monitoring. IBM SevOne NPM appears to have the upper hand with its comprehensive infrastructure visibility and effective alert management.
Features: IBM SevOne NPM provides comprehensive infrastructure visibility, accurate and fast data reporting, and effective alert management. Its scalability and real-time data accessibility are key highlights. InfluxDB is known for its quick setup, strong integration with Grafana, and efficient handling of time-series data.
Room for Improvement: IBM SevOne NPM could improve in data migration during upgrades, high-frequency polling management, and handling complex setups. InfluxDB could enhance its data backup capabilities, stabilize its platform, and improve documentation for integration processes.
Ease of Deployment and Customer Service: IBM SevOne NPM is mainly deployed on-premises with hybrid cloud options, receiving strong customer service reviews for knowledgeable support. InfluxDB, available as open-source, is used on-premises and in cloud environments, praised for integration ease but lacks the support structure of IBM SevOne NPM.
Pricing and ROI: IBM SevOne NPM uses a flexible pricing model based on managed elements, providing a balance between cost and functionality, though with high initial costs. InfluxDB, being open-source, offers cost benefits but may result in increased expenses due to pricing updates.
```InfluxDB reduced my time to show data without any interruption, also reducing the number of people needed to manage the project; it is very good to have InfluxDB in my project.
The technical support from IBM for SevOne Network Performance Management (NPM) is very good.
It is suitable for small, medium, and enterprise-level companies.
The main challenge with InfluxDB, which is common with all databases, was handling very high throughput systems and high throughput message flow.
We’ve scaled on volume with seven years of continuous data without performance degradation.
InfluxDB's scalability is fine for me; I gather a lot of metrics and have not had any issues.
The stability of IBM SevOne Network Performance Management (NPM) is excellent.
It serves as the backbone of our application, and its stability is crucial.
After integrating Kafka, it never broke again, as Kafka handled messages and metrics appropriately, decreasing the message throughput.
It is very stable, with no reliability or downtime in InfluxDB.
It would be beneficial to have out-of-the-box integration with third-party vendors and improvements in correlation features.
If better documentation were available, allowing me to find everything, including specific port numbers and procedures, it would have been much easier, and I wouldn't have had to spend time researching how to integrate InfluxDB with my Kafka producers and consumers.
Having a SQL abstraction in InfluxDB could be beneficial, making it more accessible for teams that prefer querying with SQL-style syntax.
It could include automated backup and a monitoring solution for InfluxDB or a script developed by a REST API.
We use the open-source version of InfluxDB, so it is free.
My experience with pricing, setup cost, and licensing for InfluxDB was great, as I did not use any license.
The most valuable features of IBM SevOne Network Performance Management (NPM) are its stability, usability, visibility, and user-friendly interface.
The most important feature for us is low latency, which is crucial in building a high-performance engine for day trading.
It helps me maintain my solution easily because it is very reliable, so we didn't face any performance issues or crashes regarding our queries; we can get the results very fast.
InfluxDB has positively impacted my organization by solving a monitoring problem that we had, coming up with a solution since we did not have any monitoring system, allowing us to build one from scratch.
| Product | Market Share (%) |
|---|---|
| InfluxDB | 0.3% |
| IBM SevOne Network Performance Management (NPM) | 1.0% |
| Other | 98.7% |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 6 |
| Large Enterprise | 45 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 3 |
| Large Enterprise | 8 |
The IBM® SevOne Network Performance Management (IBM SevOne NPM) solution helps you spot, address, and prevent network performance issues early with machine learning-powered analytics from a single source. Boost network performance and improve your user application experience by proactively monitoring your multivendor end-to-end network across enterprise, communication, and managed service provider networks.
Transform raw network performance data into intelligent and actionable insights. The IBM SevOne NPM solution goes beyond detection, combining industry-leading expertise and advanced technology to help your IT team plan and optimize your network and act on what matters: improving network performance to provide an exceptional customer experience.
For further information, please visit www.ibm.com/cloud/sevo...
InfluxDB is open-source software that helps developers and enterprises alike to collect, store, process, and visualize time series data and to build next-generation applications. InfluxDB provides monitoring and insight on IoT, application, system, container, and infrastructure quickly and easily without complexities or compromises in scale, speed, or productivity.
InfluxDB has become a popular insight system for unified metrics and events enabling the most demanding SLAs. InfluxDB is used in just about every type of industry across a wide range of use cases, including network monitoring, IoT monitoring, industrial IoT, and infrastructure and application monitoring.
InfluxDB offers its users:
InfluxDB Benefits
There are several benefits to using InfluxDB . Some of the biggest advantages the solution offers include:
Reviews from Real Users
InfluxDB stands out among its competitors for a number of reasons. Two major ones are its flexible integration options and its data aggregation feature.
Shalauddin Ahamad S., a software engineer at a tech services company, notes, “The most valuable features are aggregating the data and the integration with Grafana for monitoring.”
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