

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.
These improvements translated into both cost savings and better service reliability, directly impacting business outcomes.
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.
In production environments, especially for service providers on IP networks and data centers, Kentik helps in reducing the time to identify and resolve issues.
They get on a call, resolve issues, and handle everything efficiently.
The InfluxDB support team was knowledgeable and helped us troubleshoot complex problems efficiently.
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.
It can handle large volumes of time-series data and with high ingestion rates, making it suitable for enterprise-scale deployments.
We’ve scaled on volume with seven years of continuous data without performance degradation.
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.
We have used it to support mission-critical systems with continuous data ingestion and real-time analytics.
It is very stable, with no reliability or downtime in InfluxDB.
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.
Pricing is based on data volume, retention, and features, which really makes it scalable but requires careful planning to avoid unexpected costs.
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 | Mindshare (%) |
|---|---|
| InfluxDB | 0.5% |
| Kentik | 1.9% |
| Other | 97.6% |

| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 4 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 3 |
| Large Enterprise | 8 |
InfluxDB offers efficient time series data handling with fast writes, optimized storage, and seamless Grafana integration, making it ideal for high-volume applications like crypto trading and real-time monitoring. Its SQL-like query language and cloud-based options enhance user experience and system scalability.
InfluxDB stands out with its ability to handle high-volume time series data efficiently, thanks to fast data writes and efficient compression. It is highly scalable, providing clustering features for improved performance management. Integration with Grafana enhances visualization, making it easier to analyze complex data through a user-friendly SQL-like query language. Real-time monitoring, historical data access, and proactive alerts enhance system reliability. Its cloud offering simplifies maintenance and operations, making it attractive for users seeking an efficient time series database.
What are the key features of InfluxDB?InfluxDB is applied extensively in industries handling high-volume data needs. For sensor data storage in production environments, it offers reliable performance. Its role in server management metrics and performance monitoring is crucial for maintaining optimal operations. In crypto market data collection, it supports fast-paced trading environments. Industries use it for real-time tracking, like maritime vessel monitoring, leveraging its rapid data handling and visualization capabilities. Its applications also extend to IoT environments, API performance tracking, HVAC systems, and log aggregation, often integrating with Prometheus, Docker, and AWS to enhance system capabilities.
Kentik provides real-time visibility into network infrastructure, focusing on monitoring, data visualization, and flow analysis to manage traffic patterns efficiently.
With robust analytics capabilities, Kentik offers insights into BGP peering status, aids in DDoS detection, and allows for detailed telemetry through its intuitive interface. The platform's SaaS nature simplifies operations by eliminating server maintenance concerns. Multi-vendor support and synthetic testing enhance network security and performance by simulating customer scenarios, while its API offers automation for querying and reporting tasks.
What are the key features of Kentik?Industries implement Kentik for network monitoring, traffic management, and flow data analysis across both on-prem and cloud setups. It proves valuable for detecting DDoS events, managing peering relationships, and optimizing costs, besides managing CDN configurations and performing synthetic tests in diverse environments.
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