Likelihood to Recommend I would like to mentioned about the scenario where Amazon cloud search was well suited is when we need regular updation of data and the subject matter requires continuous alterations due to the continuous changing environment and talking abut the least appropriate would the times when their is high level of customisation requirements in the project.
Read full review Incredibly robust software for an enterprise organization to plug into their application. If you have a full development resource team at your disposal, this is great software and I highly recommend it. Largely, however, you won't be able to use this prior to the enterprise level. It's just too complicated and cumbersome of a product.
Read full review Pros Really fast queries Good Reporting Reduce the cost of the server Read full review Azure Search provides a fully-managed service for loading, indexing, and querying content. Azure Search has an easy C# SDK that allows you to implement loading and retrieving data from the service very easy. Any developer with some Microsoft experience should feel immediate familiarity. Azure Search has a robust set of abilities around slicing and presenting the data during a search, such as narrowing by geospatial data and providing an auto-complete capabilities via "Suggesters". Azure Search has one-of-a-kind "Cognitive Search" capabilities that enable running AI algorithms over data to enrich it before it is stored into the service. For example, one could automatically do a sentiment analysis when ingesting the data and store that as one of the searchable fields on the content. Read full review Cons First thing I would like to mentioned about its indexing speed, I have noticed while working with large sums of data Second I would like to mentioned about customisation challenge, although it is also its pros but a con as well, as it is a tedious task to customise when time value comes place as well. Thirdly, I do feel that its advanced search queries could be more supported. I have seen some level of lagging when it comes to more advanced search queries given the size of data. Read full review Cross platform compatibility to integrate with various OS Optimizing latency. Nothing better than work on price, create more flexible options. Read full review Alternatives Considered I didn't investigate the best alternatives to CloudSearch, but did help with implementing this feature in our application. But from what i tested and used - Cloudsearch is very fast to get queries. Some negative points can be the time to implement this and some configurations that can be tricky.
Read full review Azure Search is a competitor against Google's own AI autosuggest a feature. We went with Azure because our network security folks found it to be more robust from a security standpoint, which is incredibly important when you have proprietary manufacturing information. Additionally, we're a Microsoft shop so it plugged into our cloud hosting package and client facing OS.
Read full review Return on Investment It has directly or indirectly improved the operational effiecncy for sure. Its limitations towards limited customisation requirements makes it a bit negative side of the scenario. Its scalability of the growth offers seamless accommodation of large data sets which is a positive impact although. Read full review Azure Search enabled us to stand up a robust search capability with very few developer hours. The fully-managed service of Azure Search means we get low cost of management (EG, DevOps) going into the future, even though the cost of the service itself definitely reflects the time saved. Azure Search counts as a "Cognitive Service" for Microsoft Azure consumption and aligns our products with Microsoft's interests of driving an AI-first approach in the enterprise. Microsoft Partners, service and product companies alike, should be looking to align with this AI vision as it means favorable treatment from the Microsoft sales teams. Read full review ScreenShots