InfluxDB and Cisco DNA Center compete in data management and network automation categories. InfluxDB is advantageous in environments centered on data monitoring with its cost-effective setup and flexibility, whereas Cisco DNA Center stands out in comprehensive network management due to its advanced automation and analytics capabilities.
Features: InfluxDB offers high-performance data collection and supports a flexible query language. It provides seamless integration with multiple data sources. Cisco DNA Center delivers advanced network automation, in-depth analytics, and a unified network operations view, facilitating efficient network management.
Room for Improvement: InfluxDB could enhance its real-time data processing capabilities and expand its ecosystem of integrations with other platforms. Improving user interface clarity can also add value. Cisco DNA Center may benefit from simplifying its initial setup process and reducing hardware dependency. Offering more modular pricing options could make it accessible to smaller enterprises.
Ease of Deployment and Customer Service: InfluxDB is straightforward to deploy, especially in cloud environments, with robust documentation support. Cisco DNA Center, while featuring a complex initial setup process, provides detailed guidance and strong customer support, reflecting its broad functionality.
Pricing and ROI: InfluxDB is known for competitive setup costs, achieving favorable ROI particularly in time-series data projects. Cisco DNA Center involves higher setup costs due to necessary hardware, promising substantial ROI for businesses focusing on network automation and comprehensive insights.
Although Cisco DNA Center is expensive, we have seen a return on investment in terms of time savings.
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.
It has reduced a lot of time in terms of troubleshooting because the way it produces the data on a time-series basis allows me to collect and store the data for future reference.
Overall, Cisco DNA Center rates eight out of ten as a complete solution.
I would rate Cisco support easily at nine out of ten.
The support for Cisco DNA Center is good.
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.
From my experience, we can easily manage numerous devices.
The solution is designed for large enterprise companies.
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.
When we communicate problems, they solve them effectively.
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.
The AI-driven insights have contributed significantly to faster troubleshooting and predictive analytics.
The deployment part is definitely an area for improvement.
The client history in Cisco DNA Center can be longer than 10 days, perhaps extending to 15 or 20 days.
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.
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 most valuable features include AI-driven insights which make troubleshooting much easier.
If there is a problem, I can inspect the situation and see what is happening, which is beneficial.
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.
| Product | Mindshare (%) |
|---|---|
| InfluxDB | 0.5% |
| Cisco DNA Center | 0.7% |
| Other | 98.8% |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 9 |
| Large Enterprise | 24 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 5 |
| Large Enterprise | 9 |
Cisco DNA Center delivers powerful centralized security, automation, and comprehensive analytics for enhanced network management. With an intuitive dashboard and integration with Cisco devices, it reduces errors, boosts efficiency, and ensures seamless wired and wireless network operations.
Organizations leverage Cisco DNA Center for network management and automation, offering increased visibility into traffic flows and efficient device provisioning. It supports real-time data transmission, network segmentation, and integrates with ISE. Features like wireless assurance, centralized management, and AI-driven insights into network health promote an efficient network environment while addressing compliance issues. However, improvements are necessary for better third-party integration, affordability, and more user-friendly documentation.
What are the solution's most important features?In industries like healthcare, finance, and education, Cisco DNA Center's advanced features facilitate the management of complex network infrastructures and aid in achieving compliance efficiently. Its ability to manage LANs and WLANs supports diverse networking environments including greenfield projects and SPN setups.
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.
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