My advice is to approach it as a tool that requires a learning curve. While it might seem easy at first, it's worth investing the time to understand it thoroughly because what appears simple initially can become complex and challenging later on. Overall, I would rate it eight out of ten.
My suggestions to others about the solution would be based on their requirements. Obviously, there may be some other ways to do it. Regarding the decision, firstly, the company thinks about the monetary part also coming into the picture, and also the professional aspect. Nowadays, you can get cloud technologies as most people that are working on Python and other technologies. I think Elasticsearch, or AWS, is quite compatible, and if you're working in AWS, the services can be integrated into any application and all. I will say that I will suggest it based on the requirement of someone else who wants to use it. Like, Lambda and all, it is basically based on how much time it takes to run. The cost is okay. Also, company-wise, the price is fine. However, one has to see the requirements, and based on the charges, it should be okay and manageable. The solution is something that is based on the requirement. If you want you can do it in some other way also. Basically, you can have a better solution. I will not very much insist to anyone that they should go for Elasticsearch. If you have any other solution, it's okay. Otherwise, it's a good product. It is not only Elasticsearch that is there in the market, but also some other tools are there. Nowadays, most of the time, every company has some integration process in their tools, so whatever they develop, they make it in such a way, in a versatile manner, so that it can integrate with any component. Overall, I rate the solution a seven out of ten.
My advice is to approach it as a tool that requires a learning curve. While it might seem easy at first, it's worth investing the time to understand it thoroughly because what appears simple initially can become complex and challenging later on. Overall, I would rate it eight out of ten.
It is a good tool. Overall, I would rate the solution an eight out of ten.
My suggestions to others about the solution would be based on their requirements. Obviously, there may be some other ways to do it. Regarding the decision, firstly, the company thinks about the monetary part also coming into the picture, and also the professional aspect. Nowadays, you can get cloud technologies as most people that are working on Python and other technologies. I think Elasticsearch, or AWS, is quite compatible, and if you're working in AWS, the services can be integrated into any application and all. I will say that I will suggest it based on the requirement of someone else who wants to use it. Like, Lambda and all, it is basically based on how much time it takes to run. The cost is okay. Also, company-wise, the price is fine. However, one has to see the requirements, and based on the charges, it should be okay and manageable. The solution is something that is based on the requirement. If you want you can do it in some other way also. Basically, you can have a better solution. I will not very much insist to anyone that they should go for Elasticsearch. If you have any other solution, it's okay. Otherwise, it's a good product. It is not only Elasticsearch that is there in the market, but also some other tools are there. Nowadays, most of the time, every company has some integration process in their tools, so whatever they develop, they make it in such a way, in a versatile manner, so that it can integrate with any component. Overall, I rate the solution a seven out of ten.
I would advise others to use community support, it is the best place to receive information. I rate Amazon Elasticsearch a nine out of ten.
I would rate this solution an eight out of ten.
They have the good documentation in the help text and that is the reason the Amazon Elasticsearch is the perfect solution for the current market