

Find out in this report how the two Network Monitoring Software solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
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.
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.
Some of the more advanced reports are locked behind higher pricing tiers, which feels restrictive.
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.
Unlimited endpoints for a flat monthly fee per tech is a model that makes sense for us, since we are not paying more every time we add a new endpoint.
We can run commands such as PowerShell, batch scripts, and implement automation.
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% |
| Atera | 0.6% |
| Other | 98.9% |

| Company Size | Count |
|---|---|
| Small Business | 14 |
| Large Enterprise | 1 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 5 |
| Large Enterprise | 9 |
Atera provides advanced tools for remote monitoring, automation, and ticketing, offering an intuitive design and competitive pricing that supports managed service providers with monitoring, alerts, and system management.
Atera stands out with its automation, remote access, and smooth integration capabilities like PowerShell commands, TeamViewer, and Splashtop. Its monitoring and alert systems allow IT professionals to preemptively address issues, enhancing productivity with features such as a robust ticketing system, patch management, and scripting tools. Cross-platform compatibility and collaboration tools streamline IT operations. Despite its strengths, Atera requires enhancements in identity access management, chat features, mobile device management, third-party integrations, customizable reports, and more detailed role management for technicians. A renewed interface and improved network and cloud service monitoring are desired. Users also look for seamless management across diverse platforms, particularly under connectivity issues.
What are Atera's key features?Atera is widely used by managed service providers and IT support companies to enhance efficiency in industries such as manufacturing and construction. It provides remote monitoring, automation, and comprehensive IT management, ensuring seamless integration with different products and systems for broad site coverage. Businesses leverage Atera's RMM, PSA, ticketing, and IT automation features to improve operational efficiency and responsiveness.
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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