

Opsview and InfluxDB are competing products within the monitoring and data storage domain. Opsview appears to have the upper hand in customer service, while InfluxDB stands out in features and scalability.
Features: Opsview provides comprehensive network monitoring, application monitoring, and robust alerting solutions. It's designed for complex IT environments with a focus on providing a centralized view of IT infrastructure. In contrast, InfluxDB specializes in high-performance time-series data management, real-time analytics, and flexible integrations, making it highly suitable for IoT and sensor data use cases.
Room for Improvement: Opsview could enhance its time-series data handling capabilities and scalability to match InfluxDB's strengths. Additionally, it may benefit from offering more flexible integration options and improving user-interface customization. InfluxDB could improve its deployment simplicity for non-developers, its support response times, and expand its comprehensive monitoring features to cover a broader range of IT infrastructure components.
Ease of Deployment and Customer Service: Opsview offers a straightforward deployment model with strong support options, facilitating ease of integration into existing systems. Its customer service is noted for responsiveness. InfluxDB provides a developer-friendly deployment, offering flexibility through open-source solutions, which may require more technical expertise. It offers community and commercial support to assist with deployment challenges.
Pricing and ROI: Opsview's setup costs might be higher due to its comprehensive feature set but offers a solid ROI through enhanced visibility and reduced downtime. InfluxDB's open-source model minimizes initial setup costs, providing significant ROI by efficiently handling vast time-series data with minimal operational overhead. Opsview is more cost-effective for enterprises with extensive monitoring needs, while InfluxDB suits developers looking for a scalable data-focused solution.
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.
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.
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.
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.
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.
Grafana does have features that I think my current solution lacks, such as better performance reporting.
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 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.
Opsview's alerting capabilities are very helpful, and they positively impact our incident response times.
| Product | Mindshare (%) |
|---|---|
| InfluxDB | 0.5% |
| Opsview | 1.0% |
| Other | 98.5% |

| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 4 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 5 |
| Large Enterprise | 9 |
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.
Opsview provides advanced monitoring for system availability, service metrics, and resource usage with flexibility and scalability tailored for global networks.
Opsview delivers comprehensive monitoring through its flexible alert framework, web GUI, and integration with Nagios plugins. It facilitates seamless server additions, supports multi-tenancy, and offers scalability with a MySQL backend. Configuring new hosts and services is straightforward, while advanced services like cloning and alert noise reduction enhance user experience. Users mention room for improvement in the API, database support, and features like bulk changes in the GUI. Despite these aspects, Opsview is preferred for cloud and client monitoring across multiple geographical points.
What are Opsview's most important features?Opsview proves valuable in cloud environments for monitoring resource availability and performance. Organizations deploy it for both internal and client-facing monitoring across global regions, benefiting from enhanced event triggers and automation opportunities, particularly in deployment monitoring and service tracking.
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