JFrog DevOps Cloud Platform vs TetraScience comparison

"They have a professional service team that works alongside their engineering and performance teams."

"I appreciate the features in JFrog DevOps Cloud Platform, especially the efficient file management where downloads and uploads are optimized, saving time. The storage efficiency is also great as it avoids redundancy, which is crucial for our team. It is also quite easy to use, especially for basic commands through the command line. It's straightforward for us internally, and our data is well-hosted on their servers, which makes data location and querying fast and efficient. Moving our storage to JFrog has streamlined our development cycle by eliminating duplicated data, which previously took up extra space locally. This efficiency is crucial for our workflow, although network speeds still play a significant role in performance."

"The most valuable features include task tracking and reporting capabilities."

"The crawler agents they provide, as well as TetraScience exclusive parsers, allow for specific instruments that we use in our labs with proprietary formats to extract data and put it into more standard formats for various purposes."

"The ingestion engines were pretty good."

"We have encountered stability issues lately, particularly with frequent 500 internal server errors. Despite efforts from our DevOps team to adjust settings, these issues persist, affecting our workflow, especially with machine learning data uploads. Overall, while it's beneficial for storage and accessibility, stability issues need improvement for seamless operations. The occasional occurrence of internal server errors takes several minutes to resolve on their own and can disrupt workflows. Another concern is that sometimes files appear to be successfully uploaded, but then they cannot be downloaded, with no error message indicating the issue during the upload process. This inconsistency needs to be addressed by JFrog to ensure reliable functionality for users like us."

"Our locations are in different environments, so the remote server takes time to catch up, causing replication delays. The engineering team suggested that this issue would be resolved, but I'm not sure if it has been addressed yet. This is more of a feature enhancement that we suggested."

"The product could benefit from enhanced integration capabilities with older software systems and more customizable reporting options."

"The application has a difficult-to-use parsing capability, which requires a lot of reengineering when the use case isn't specifically met."

"While functional during ingestion workflows, the automation toolkit required manual processes."

"The product pricing is competitive but worth negotiating for volume discounts or longer-term contracts."

"Regarding pricing, I focus on the platform's interface and user communication rather than costs."