DataMiner Reviews

My profession is broadcasting as a broadcast system integrator. I run live channels 24/7 in many countries. Each broadcaster has around 300 to 400 pieces of equipment to capture the signal from the studio, process it on multiple levels, and transmit it to the end user. I need a system to monitor all other systems about their health, the status of the signal, whether it is good or bad, and report any issues in the chain.

The solution will monitor data in real-time and can scale out well. For instance, in a television studio, I might deal with about three hundred pieces of equipment. 

However, in other sites, it can handle 200 to 2500 nodes that send data every second. The system efficiently processes and analyzes data to provide insightful feedback, such as pinpointing specific equipment errors. It also offers predictive analytics based on received data, rather than just storing it.

The system's complexity during installation could be reduced. It is not easily user-installable and requires specialization. Connecting to other systems needs a dedicated driver, often developed by DataMiner engineers. Opening up driver development as open source would be beneficial, allowing users to create and edit drivers independently.

I have used DataMiner for over three years. I am a system integrator for one client who requested an MMS system, so I proposed DataMiner for them. I have been supporting DataMiner for this customer for the last three years.

Sometimes DataMiner is not stable, with rare memory leakage issues and other software problems. Otherwise, it is generally stable. I would rate its stability as 6.5 to seven out of ten.

I would rate the scalability of DataMiner as nine out of ten. It is quite well scalable, as seen in the MMS systems I have encountered.

The support is good. I would rate it around nine out of ten. They are excellent at providing support.

Positive

In other MMS systems developing or having a niche market, they look up to DataMiner as the leader in the field. There are no other MMS systems equivalent to DataMiner. It holds the first place while others follow.

The initial setup can take a few weeks.

Among other NMS systems, DataMiner is considered the leader. Other NMS systems look up to DataMiner and aim to compete with it.

DataMiner's pricing is high. If a client is not concerned about the budget and wants a good feature set, I would immediately recommend DataMiner. If a client needs it at a lower price, it's not possible, as DataMiner is a high-priced solution.

Overall, I would rate DataMiner as nine out of ten for clients who are not concerned about price, as it provides a good feature set. 

For budget-conscious clients, I'd rate it three or four out of ten, given its high price.

We are using it for satellite systems monitoring, automate pro-active ticketing and reporting.

The benefits of DataMiner to our company are connectivity and cross-connectivity it provides.

The most valuable feature of DataMiner is its comprehensiveness. It provides an open driver that allows you to customize it if you want. Additionally, there are many separate modules available that can be used to enhance the system's capabilities beyond just monitoring, allowing you to manage your entire workflow.

I have been using DataMiner for approximately six years.

We improved our efficiency and response time for operations. Any issue encountered, or any changes that need to be made are managed from a single screen, a single software. This makes the process easy for everyone, especially for the operations team to manage, control, and troubleshoot.

DataMiner allows you to take control. It has an API to talk to different products, including drivers to talk to the APIs of third-party products. You can control it from the screen. You can customize the control that you want. It will show the changes on the screen.

DataMiner performs quite well because it can be customized to your requirements, to what you want to see. The solution is user-friendly and is readily customizable, which allows us to do control and monitoring in a single stage.

We would like to have more products supported by the drivers because there are so many products out there. If DataMiner has not built the drivers to support them we cannot control them, we can only see them based on SNMP. If more drivers are included, it won't cost us if we have new products.

There aren't many problems as of now. I don't see a real issue with stability because this particular version doesn't hang on us. This solution is stable.

Scalability is more dependent on the licensing and the cost of customization.

We have local support and we are quite satisfied with it. We have not needed to call DataMiner itself, just the local support, who have been able to help customize according to our requests.

The main reason for switching solutions was the requirement to have centralized, single monitoring and control. Previously, what we had was pure monitoring. With the controls included in a single screen, that was the main reason we went for our first application. 

The most important criteria when selecting a vendor are that it meets our base requirements and that it is cost effective. And in terms of scalability, it all depends on if the solution can be customized.

Initially, to understand it, it's a bit complex, but after some initial pain, it becomes easier when you understand the whole mechanism and workflow.

We chose DataMiner over HPE OpenView. The software requirement was to have control, and we found DataMiner had the advantage over OpenView.

I would advise you to really look at the cost-benefit. When it comes to customization, costs will keep on increasing.

I would rate this solution an eight out of 10. It doesn't have 100 percent of the features that we want, so some customization is needed to do the protocol mapping.