

InfluxDB and HPE OneView compete in database management and IT infrastructure management respectively. HPE OneView seems to have the upper hand due to its comprehensive feature set and extensive infrastructure management capabilities.
Features: InfluxDB features high ingestion rates, powerful query language, and horizontal scalability, optimized for time-series data. HPE OneView offers centralized control over hardware, automation of complex tasks, and an open API for integration with other tools.
Room for Improvement: InfluxDB could improve its integration with non-time-series databases, enhance data retention policy management, and expand its visualization options. HPE OneView could simplify its setup process, offer more flexible pricing tiers, and streamline its software updates for reduced downtime.
Ease of Deployment and Customer Service: InfluxDB provides straightforward deployment suitable for cloud and container environments. HPE OneView offers a comprehensive setup process with robust customer support to assist with implementation and troubleshooting.
Pricing and ROI: InfluxDB often has a lower setup cost with favorable ROI in environments reliant on time-series data. HPE OneView, with a higher initial investment, offers substantial ROI through enhanced infrastructure management capabilities and operational efficiency.
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.
The customer service and support have been responsive.
I would give the quality of HPE OneView's technical support an eight out of ten rating, indicating good customer service and support in my opinion.
The technical support for HPE OneView rates as an 8 on a scale from 1 to 10, where 1 is the worst and 10 is the best.
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.
HPE OneView is highly scalable, especially useful for organizations with large infrastructures.
HPE OneView is a scalable solution since you can integrate any number of servers based on your license.
Scalability is fine as we can add Synergy frames and extend many frames as 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.
The stability of the blades is concerning; we have frequent issues with blades having memory or power issues.
HPE OneView is a stable solution that works efficiently.
It supports unified monitoring effectively but may have areas for enhancement.
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 upgrade process is lengthy, requiring careful planning as we cannot match ESXi versions without aligning OneView first, leading to delays.
I believe the prices of HPE OneView should be reduced, as it is quite expensive.
From the dashboard and reporting perspective, HPE OneView could be improved by having multiple modules rather than just a single customization option.
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.
Customers need to pay a substantial amount for the licenses, especially when monitoring a large number of servers and storages.
Our main concern is managing expenses related to the VMware licensing model which affects blade usage.
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.
I can monitor everything in one view, which has significantly improved operational efficiency for us.
The ease of management with HPE OneView is excellent.
One of the best features of HPE OneView is that you get a complete architecture with a single click.
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 | 0.6% |
| HPE OneView | 1.1% |
| Other | 98.3% |


| Company Size | Count |
|---|---|
| Small Business | 22 |
| Midsize Enterprise | 15 |
| Large Enterprise | 51 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 4 |
| Large Enterprise | 8 |
HPE OneView offers a centralized platform for managing IT infrastructure with ease, emphasizing automation and reducing errors. Its integrated approach provides users unified control over storage, compute, and network management.
HPE OneView delivers comprehensive infrastructure visibility and effective monitoring through a user-friendly interface. Automation, real-time alerts, and quick server deployment enhance operational efficiency. Seamless integration and profile templates further streamline workflows. Despite its strengths, some users seek improved navigation, faster response times, and extended platform support. Enhanced reporting and support for older hardware models are desirable.
What key features make HPE OneView valuable?Companies leverage HPE OneView across sectors such as finance, telecom, and government, utilizing its capabilities for unified monitoring, management, and configuration. It's implemented on-premises and as a hybrid cloud management interface, supporting environments like Synergy and VMware. By integrating with virtualization platforms, it advances hardware, firmware, and network management efficiency, significantly reducing manual processes.
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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