

InfluxDB and Kentik compete in the data management and network analytics space. InfluxDB has the upper hand for efficient time-series data handling, while Kentik stands out with its comprehensive network performance monitoring capabilities.
Features: InfluxDB offers high-performance time-series data management, scalability, and an efficient analytics and monitoring solution. Kentik provides advanced network visibility, in-depth performance analytics, and specialized tools for complex network requirements.
Room for Improvement: InfluxDB could enhance its network-centric features, broaden its analytics capabilities, and improve integration with non-time-series data. Kentik could simplify its deployment process, optimize costs for users with basic needs, and improve data-centric features to broaden its appeal.
Ease of Deployment and Customer Service: InfluxDB supports straightforward deployment with flexible cloud options, and it offers reliable support for a smooth experience. Kentik's deployment process can be more complex due to its network-specific features, but it compensates with a robust customer service model that aids users through the setup.
Pricing and ROI: InfluxDB typically incurs lower setup costs and offers a favorable ROI for businesses focusing on time-series data. Its pricing is appealing for those prioritizing cost efficiency. Kentik has higher setup costs reflecting its extensive features, yet provides justified ROI for businesses needing comprehensive network management solutions.
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.
In production environments, especially for service providers on IP networks and data centers, Kentik helps in reducing the time to identify and resolve issues.
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.
I have mostly used forums for any support needed because the setup is straightforward and the documentation is quite good.
They have monthly calls and discuss the product roadmap with us to determine what is needed.
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.
Kentik's integration with Kubernetes makes scaling easier.
You can scale as many devices and tests as you want, but you should have a good number of credits in your accounts.
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.
In production, however, dimensioning of the underlying platforms is something to be mindful of.
Based on stability, I would give Kentik a nine.
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.
More work is required to integrate AI for troubleshooting, simplifying root cause analysis, and providing suggested solutions for network issues.
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 pricing is good and aligns with the market target.
Kentik’s pricing is competitive in the marketplace.
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 most important feature is cybersecurity.
One of the most valuable features of Kentik, especially for service providers, is its ability to visualize all the BGP peering and the status of the BGP peering platform.
Kentik is easy to use and set up.
| Product | Market Share (%) |
|---|---|
| InfluxDB | 0.3% |
| Kentik | 1.2% |
| Other | 98.5% |


| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 3 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 3 |
| Large Enterprise | 8 |
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.”
Kentik's AIOps Network Traffic Intelligence platform unifies network operations, performance, security, and business intelligence.
With a purpose-built big data engine delivered as public or private SaaS, Kentik captures a high-resolution view of actual network traffic data and enriches it with critical application and business data, so every network event or analysis can be tied to revenue & costs, customer & user experience, performance & risk.
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