We performed a comparison between Amazon EC2, Apache NiFi, and Azure Stream Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Amazon Web Services (AWS), Apache, Zadara and others in Compute Service."What we have found most valuable is that we have not lost stability in the program."
"EC2 is secure and stable, and we have no complaints about it on AWS."
"My company uses the tool for cloud monitoring. We have a production, staging, deployment, and testing environment in AWS. However, we do not use the managed service of AWS yet. My team uses the required parameters for security like VPC, firewall, gates of security as well as the external layer of the app."
"EC2 has the typical advantages of using the cloud. It's easy to provision and set up."
"I like EC2 because of its simple workload and the ability to configure VPCs and security groups."
"The product is easy and quick to set up."
"The most important aspects are that the solution is scalable and easy to manage."
"The initial setup is straightforward."
"The user interface is good and makes it easy to design very popular workflows."
"The initial setup is very easy. I would rate my experience with the initial setup a ten out of ten, where one point is difficult, and ten points are easy."
"The most valuable features of this solution are ease of use and implementation."
"The initial setup is very easy."
"The most valuable feature has been the range of clients and the range of connectors that we could use."
"We can integrate the tool with other applications easily."
"It's an automated flow, where you can build a flow from source to destination, then do the transformation in between."
"Visually, this is a good product."
"The way it organizes data into tables and dashboards is very helpful."
"It provides the capability to streamline multiple output components."
"I like all the connected ecosystems of Microsoft, it is really good with other BI tools that are easy to connect."
"The life cycle, report management and crash management features are great."
"It's scalable as a cloud product."
"It's a product that can scale."
"I like the IoT part. We have mostly used Azure Stream Analytics services for it"
"The integrations for this solution are easy to use and there is flexibility in integrating the tool with Azure Stream Analytics."
"They have to provide clarity on pricing. It's not transparent."
"Lacks sufficient tools to help users minimize their costs."
"In terms of improvement, they could build some client-side desktop tools that provide easier connectivity to Amazon."
"Amazon EC2 is very expensive, and it would be helpful if they decreased the pricing."
"It's not the best of the best because we still have issues with downtime. We still have issues with the cost of storage, with all these different instance styles, and how much it costs. They cost an arm and a leg the higher you go."
"The tool’s stability could be better."
"I would like to see as much automation for data validation as possible in the future."
"The price could be better, and it could be more affordable. Because I run my own servers, the prices are quite high."
"I think the UI interface needs to be more user-friendly."
"More features must be added to the product."
"The overall stability of this solution could be improved. In a future release, we would like to have access to more features that could be used in a parallel way. This would provide more freedom with processing."
"We run many jobs, and there are already large tables. When we do not control NiFi on time, all reports fail for the day. So it's pretty slow to control, and it has to be improved."
"The use case templates could be more precise to typical business needs."
"There is room for improvement in integration with SSO. For example, NiFi does not have any integration with SSO. And if I want to give some kind of rollback access control across the organization. That is not possible."
"There should be a better way to integrate a development environment with local tools."
"There are some claims that NiFi is cloud-native but we have tested it, and it's not."
"The solution could be improved by providing better graphics and including support for UI and UX testing."
"Azure Stream Analytics could improve by having clearer metrics as to the scale, more metrics around the data set size that is flowing through it, and performance tuning recommendations."
"The UI should be a little bit better from a usability perspective."
"One area that could use improvement is the handling of data validation. Currently, there is a review process, but sometimes the validation fails even before the job is executed. This results in wasted time as we have to rerun the job to identify the failure."
"Its features for event imports and architecture could be enhanced."
"The solution doesn't handle large data packets very efficiently, which could be improved upon."
"There may be some issues when connecting with Microsoft Power BI because we are providing the input and output commands, and there's a chance of it being delayed while connecting."
"It is not complex, but it requires some development skills. When the data is sent from Azure Stream Analytics to Power BI, I don't have the access to modify the data. I can't customize or edit the data or do some queries. All queries need to be done in the Azure Stream Analytics."