

InfluxDB and Cisco UCS Manager are both prominent products in the enterprise IT landscape, specializing in time series data management and server infrastructure management, respectively. While InfluxDB is noted for its adaptability and cost-effectiveness, Cisco UCS Manager is favored for its comprehensive feature set in large-scale environments.
Features:InfluxDB focuses on real-time data processing, high scalability for time series data, and advanced analytics capabilities. Cisco UCS Manager provides unified server hardware management, automated provisioning, and a policy-driven configuration system.
Room for Improvement:InfluxDB could benefit from enhanced integration capabilities with other enterprise systems, improved support for multi-region deployments, and expanded security features. Cisco UCS Manager might improve in terms of more streamlined initial setup processes, better integration with third-party applications, and more intuitive user interfaces for administrators.
Ease of Deployment and Customer Service:InfluxDB offers a straightforward deployment model, benefiting from a cloud-native architecture that simplifies initial setup and ongoing management, backed by strong customer support. Cisco UCS Manager requires a more detailed setup due to its focus on comprehensive hardware integration; however, its support capabilities help offset the complexity by assuring smooth management of large installations.
Pricing and ROI:InfluxDB is recognized for offering competitive pricing that emphasizes high ROI, particularly through efficient time series data handling. Cisco UCS Manager, despite higher costs, provides value through improved infrastructure efficiency and reduced long-term operational costs, making it appealing for larger enterprises with complex needs.
There's no need for an extra management device or virtual machine, as everything runs within the fabric interconnect.
Cisco UCS Manager provides cost savings by reducing the time support staff spend on long deployments.
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.
For a severity one case, a call ensures immediate assistance and resolution of the matter.
With Intersight, service requests are automatically generated, enhancing the user experience and providing timely resolutions.
Regarding Cisco tech, they are pretty 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.
Adding new chassis and extra blades is streamlined.
I would rate the scalability at nine out of ten, probably.
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.
If there's a really complex problem, I would probably give it a ten since it gets escalated quickly.
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.
We would benefit from advancements in AI that offer firmware recommendations automatically, reducing the need for human intervention and vendor communication.
It doesn't work straight out of the UCS, so someone who knows what they're doing is needed immediately, and it can be quite confusing.
While it has been improved from using Java to HTML, simplifying the tabs would enhance user experience.
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.
Recently, we acquired an excellent bundle with significant discounts, with offers like buying three servers and getting one free, along with UCSC and fabric included for free.
As long as they can afford it, there is a setup cost involved.
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.
It supports ease of deployment, allowing for quick mass deployments in the data center, saving time and resources by doing so from a remote location.
Whenever there's a failure of any component, it's very easy to swap because you just disassociate that profile, remove the faulty blade, connect the new blade, and associate that profile, maintaining the same MAC address and worldwide port name.
One of the valuable features is the user interface base, specifically the C user interface.
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 | 0.7% |
| Cisco UCS Manager | 1.2% |
| Other | 98.1% |

| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 3 |
| Large Enterprise | 19 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 5 |
| Large Enterprise | 9 |
Cisco UCS Manager enables streamlined operations through unified storage, networking, and computing management, offering enhanced reliability and flexibility.
Cisco UCS Manager provides enhanced management capabilities for infrastructures, simplifying server deployment and operations. Its user-friendly interface aids in easy configuration and visibility, including robust reporting. UCS Manager supports efficient firmware and OS updates for large deployments, ensuring smooth operations across physical and virtual environments.
What key features does Cisco UCS Manager offer?In industries managing extensive IT infrastructures, such as healthcare and finance, Cisco UCS Manager is crucial for optimizing server and network operations. It enables efficient creation of server profiles, integration with networking systems, and comprehensive monitoring, ensuring high availability and reduced setup time for complex environments.
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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