

NETSCOUT nGeniusONE and InfluxDB compete in network performance monitoring and time-series data management respectively. NETSCOUT nGeniusONE appears to have the upper hand with its deep network activity visibility, while InfluxDB stands out for its time-series capabilities and flexibility.
Features: NETSCOUT nGeniusONE focuses on packet-level analysis, providing insights through real-time communication monitoring and application traffic analysis. It supports NetFlow and packet inspections, allowing users to perform detailed traffic analysis and troubleshooting. InfluxDB specializes in time-series data management, supporting robust data aggregation and integration with monitoring tools like Grafana. Its lightweight architecture efficiently handles heavy workloads though it lacks NETSCOUT's network-specific features.
Room for Improvement: NETSCOUT nGeniusONE needs improvements in usability, GUI refinement, and virtual environment support. Stability issues post-updates and a streamlined product integration are also noted. InfluxDB could enhance high-cardinality data handling and user interface intuitiveness. Better clustering features in the community version and integration capabilities with other platforms are desired by users.
Ease of Deployment and Customer Service: NETSCOUT nGeniusONE mainly supports on-premises deployment with a competent support system, though requiring resources due to complexity. It offers hybrid and private cloud options but leans towards on-premises setups. InfluxDB provides flexible deployment across public and hybrid clouds. Both have praised support teams; however, NETSCOUT offers more personalized support, while InfluxDB faces resource constraints in handling support tickets.
Pricing and ROI: NETSCOUT nGeniusONE's extensive feature set often comes with high pricing, potentially leading to perceptions of overpayment. Its licensing is seen as competitive for enterprises, but cost remains a barrier. InfluxDB offers an open-source version with recently increased costs for scalable options, viewed as expensive. Despite this, InfluxDB offers ROI through reduced troubleshooting times and flexibility, making it cost-effective for enterprises focused on efficiency.
It simplifies processes and reduces the need for additional employees.
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.
Time saved is there, as I mentioned, because we have an analytics system from where we get alerting and monitoring.
Obtaining that quantity of data directly from InfluxDB is quite challenging, and that is why we ask for help from the InfluxDB team to retrieve the data to avoid timeouts and those kinds of issues.
They need to work on their response time and overall competence.
The distributor's support is rated an eight out of ten, indicating room for improvement in SLA handling.
I am actually happy with technical support from NETSCOUT.
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 solution is highly scalable and accommodates the growth needs effectively.
It is not similar to software solutions Datadog or Dynatrace where they can easily add agents without problems.
It serves as the backbone of our application, and its stability is crucial.
It is very stable, with no reliability or downtime in InfluxDB.
After integrating Kafka, it never broke again, as Kafka handled messages and metrics appropriately, decreasing the message throughput.
Datadog is more stable than NETSCOUT nGeniusONE, being a SaaS-based solution compared to on-prem solutions like NETSCOUT.
I rate the stability of NETSCOUT nGeniusONE as ten out of ten since we have not experienced any escalations or downtime issues from the end user's side.
Customers are more sensitive about NETSCOUT nGeniusONE's upgrades because it has hardware.
InfluxDB deprecated FluxQL, which was intuitive since developers are already familiar with standard querying.
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.
Customers want to have service assurance, including NPM and APM, from one vendor.
It would be beneficial to see more AI capabilities included in nGeniusONE to further streamline processes.
Many big companies Samsung and Hyundai try to build their own monitoring solutions using open-source tools and their own engineers, though it has not been successful.
We use the open-source version of InfluxDB, so it is free.
I find the cloud version pricing of InfluxDB reasonable, and for the on-premises solution we use in our service, we need to purchase licenses.
My experience with pricing, setup cost, and licensing for InfluxDB was great, as I did not use any license.
The cost depends on the size of the customer, as sizing controls the pricing.
Regarding its high price, I give NETSCOUT nGeniusONE a seven.
The most important feature for us is low latency, which is crucial in building a high-performance engine for day trading.
InfluxDB’s core functionality is crucial as it allows us to store our data and execute queries with excellent response times.
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.
The capability of real-time traffic intelligence is also very useful because it allows for the comparison between real-time and historical packet levels.
Their analysis capability actually surpasses other APM solutions, which is why customers love it.
The real-time insights that NETSCOUT nGeniusONE provides are very helpful.
| Product | Market Share (%) |
|---|---|
| InfluxDB | 0.3% |
| NETSCOUT nGeniusONE | 1.2% |
| Other | 98.5% |

| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 3 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 14 |
| Midsize Enterprise | 5 |
| Large Enterprise | 37 |
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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