Rivery is a really promising tool that could be developed in the future, as it could have a lot of utility for different companies. My advice to others looking into using Rivery is that it is easy to use, so you do not need a lot of training to use it. I would recommend diving into the different features and looking for what is best. The documentation is easy to find. I found this interview very smooth, and I think for my experience with Rivery, it is good enough. I would rate Rivery overall as a nine out of ten.
I do not have anything more to add about the features, automation, scheduling, or anything else that comes to mind. I am not prepared with statistics for now regarding specific outcomes or metrics, such as time saved, reduction in errors, or other improvements I have seen since using Rivery. I cannot tell if my company has a business relationship with this vendor other than being a customer. I gave this review a rating of 8.
My advice for others looking into using Rivery is to read the documentation once you start. If you have any questions or need a person to help you at first, you can always reach out to customer success or support. They will guide you and give you the proper how-tos and support. It can be a bit stressful to start with this kind of system because you might be afraid of billing too much when you run the river. Once you get started, you know how to manage it. You know how to do tests of streaming new data without charging too much money. It is really easy to use, and once you do it one time, the second time is really easy. There may be a barrier the first time for those who do not know the concept, but if you have been doing ETL as a SaaS, I believe the transition, whether to save money or because they have more features you like, will not be a problem, even for a junior data person, because it is very easy. I would rate this product an eight overall.
Speaking about how the automation capabilities of the product have improved the data processing tasks, I would say that there was a lot of manual work that we had to do in our company. Originally, beforehand, we were downloading files, and then we had a sort of an in-house solution to which the files that we downloaded were uploaded. The in-house solution was integrating the data, but with the automated features, it kind of eliminated all of that, at least most of that process, and we would still go in and try to make sure that the data that came over was accurate. My company was involved in double-checking since we wanted to ensure that the data flowed inaccurately. In terms of the actual automation, it did save a lot of time compared to having a manual process in place. I would recommend the tool to others because our experience with it has been such that it came in when we were hoping to dramatically improve our process flows. Rather than going in and having to do a lot of manual work, we now can save that time and go in and maybe do periodic reviews to ensure everything is still connected well and syncing well and ensuring the data is the same as in the source platform. I think that an organization would want to connect even more software platforms to Rivery as it would certainly save some time. The tool handles data security and compliance because now, with just one source, we are carrying data over through that one pipeline. It definitely allows us to have more control over who sees that data and who actually has access to it. In our company, we don't really do a whole lot of AI-driven projects internally. The external side is, believe it or not, where a lot of those AI projects are happening in my company, but I can't really speak about it. I rate the tool an eight out of ten.
Rivery is a serverless, SaaS DataOps platform that empowers companies of all sizes around the world to consolidate, orchestrate, and manage internal and external data sources with ease and efficiency.
By offering comprehensive data solutions and partnering with complementary technology providers, including Google, Snowflake, Tableau, and Looker, Rivery enables data-driven companies to build the perfect ecosystems for all their data processes.
Rivery is a really promising tool that could be developed in the future, as it could have a lot of utility for different companies. My advice to others looking into using Rivery is that it is easy to use, so you do not need a lot of training to use it. I would recommend diving into the different features and looking for what is best. The documentation is easy to find. I found this interview very smooth, and I think for my experience with Rivery, it is good enough. I would rate Rivery overall as a nine out of ten.
I do not have anything more to add about the features, automation, scheduling, or anything else that comes to mind. I am not prepared with statistics for now regarding specific outcomes or metrics, such as time saved, reduction in errors, or other improvements I have seen since using Rivery. I cannot tell if my company has a business relationship with this vendor other than being a customer. I gave this review a rating of 8.
My advice for others looking into using Rivery is to read the documentation once you start. If you have any questions or need a person to help you at first, you can always reach out to customer success or support. They will guide you and give you the proper how-tos and support. It can be a bit stressful to start with this kind of system because you might be afraid of billing too much when you run the river. Once you get started, you know how to manage it. You know how to do tests of streaming new data without charging too much money. It is really easy to use, and once you do it one time, the second time is really easy. There may be a barrier the first time for those who do not know the concept, but if you have been doing ETL as a SaaS, I believe the transition, whether to save money or because they have more features you like, will not be a problem, even for a junior data person, because it is very easy. I would rate this product an eight overall.
Speaking about how the automation capabilities of the product have improved the data processing tasks, I would say that there was a lot of manual work that we had to do in our company. Originally, beforehand, we were downloading files, and then we had a sort of an in-house solution to which the files that we downloaded were uploaded. The in-house solution was integrating the data, but with the automated features, it kind of eliminated all of that, at least most of that process, and we would still go in and try to make sure that the data that came over was accurate. My company was involved in double-checking since we wanted to ensure that the data flowed inaccurately. In terms of the actual automation, it did save a lot of time compared to having a manual process in place. I would recommend the tool to others because our experience with it has been such that it came in when we were hoping to dramatically improve our process flows. Rather than going in and having to do a lot of manual work, we now can save that time and go in and maybe do periodic reviews to ensure everything is still connected well and syncing well and ensuring the data is the same as in the source platform. I think that an organization would want to connect even more software platforms to Rivery as it would certainly save some time. The tool handles data security and compliance because now, with just one source, we are carrying data over through that one pipeline. It definitely allows us to have more control over who sees that data and who actually has access to it. In our company, we don't really do a whole lot of AI-driven projects internally. The external side is, believe it or not, where a lot of those AI projects are happening in my company, but I can't really speak about it. I rate the tool an eight out of ten.
I would recommend this solution and rate it a nine out of 10.