InfluxDB and Cisco Intersight are competing in data management and infrastructure automation categories. Cisco Intersight is often perceived as superior due to its comprehensive features, making it worthwhile for its cost, while InfluxDB is preferred for its cost-effectiveness.
Features: InfluxDB offers real-time analytics, high-performance data ingestion, and efficient time-series data storage. Cisco Intersight provides advanced infrastructure management, seamless integration, and robust automation capabilities.
Room for Improvement: InfluxDB could enhance its scalability options and add more advanced data visualization tools, along with expanding its integration capabilities with non-database systems. Cisco Intersight might improve user interface customization, bolster security features, and optimize resource consumption for better performance.
Ease of Deployment and Customer Service: InfluxDB's deployment process is straightforward, with quick setup and accessible customer support channels. Cisco Intersight, on the other hand, offers a cloud-centric deployment model requiring cloud expertise, but it provides comprehensive support options for enterprises focusing on centralized management.
Pricing and ROI: InfluxDB maintains a competitive pricing model focused on low total cost of ownership, delivering notable ROI through efficient data operations. Cisco Intersight, although positioned at a higher cost, justifies its price with extensive ROI through feature-rich management capabilities, appealing to large-scale enterprises.
It simplifies the onboarding of new hardware, reducing time spent on manual installations and configurations.
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.
For complex issues, it's challenging to get the right engineer quickly unless you have a specific contract like CX.
Cisco provides better support than anyone else.
Cisco technical support is helpful.
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 rate its scalability a ten out of ten due to its capability to manage multiple domains and automate service requests.
Cisco Intersight is scalable enough for our needs, allowing management in a multi-environment setup and working remotely while deploying servers.
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.
Some steps are not included in the official documentation, which can create challenges.
It is always accessible online, secure, and allows access from any location, following strict authentication standards.
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.
There is a significant issue regarding migration from UCS Manager into Intersight without formatting the Fabric Interconnects (FI), which is problematic in a production environment.
It would be great to have a chat session mode AI so that when I am on standby and encountering issues, I could engage with it, much like ChatGPT.
When registering our devices and servers using tokens, auto-detection could make it easier by automatically identifying resources and adding them to the platform.
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.
The pricing is fair and reasonable, particularly for enterprises.
Cisco Intersight's license cost is very high compared to AWS and Azure solutions, which have lower initiation costs.
The pricing mechanism sounds fair.
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.
This solution has provided time savings and required fewer people to operate this tool, rather than direct cost savings.
It provides visibility into other products and storage, and is beneficial for environments where Cisco and other vendors coexist, allowing full visibility of the entire infrastructure.
It also provides predictive analysis, predicting data leaks and making it easy to scale up servers remotely without requiring physical interference.
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 (%) |
|---|---|
| Cisco Intersight | 1.3% |
| InfluxDB | 0.6% |
| Other | 98.1% |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 4 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 4 |
| Large Enterprise | 8 |
Cisco Intersight delivers advanced data center management with cloud integration, remote server scaling, and predictive analytics, promoting efficient infrastructure management. It supports hybrid environments and is suitable for scaling across enterprises.
Cisco Intersight offers a comprehensive view of data centers with seamless cloud platform integration, enhancing manageability across environments. It is known for workflow automation, inventory management, and predictive analysis, allowing users to optimize workloads. Users leverage its scalability and ease of use, with features that aid in remote management and integration with both Cisco and non-Cisco products. However, improvements are needed in usability, automation, and third-party tool integration, especially for on-premises and hybrid cloud management. Users often face challenges with firmware management and transitioning from UCS Manager. Desired enhancements include better software compatibility, third-party integrations, expanded microservices support, enhanced AI features, and more automation capabilities, addressing setup complexity, support, and high maintenance costs.
What are the main features of Cisco Intersight?In industries where data center management and integration are critical, such as finance, healthcare, and telecommunications, Cisco Intersight is used to monitor and manage infrastructure across multiple sites. Its capability to combine platforms like HyperFlex and VMware allows organizations to maintain hardware status effectively, supporting both on-premises and cloud environments for efficient service delivery.
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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