Likelihood to Recommend 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 I would recommend
MongoDB Atlas to every company who have a significant need in the NoSQL database and do not want to manage their infrastructure. Using
MongoDB Atlas can significantly reduce your management time and cost, which saves valuable resources for other tasks. It also suits a smaller company as
MongoDB Atlas scales up and down very quickly.
Read full review Pros 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 DB Provisioning. DB Management. Gene Baker Vice President, Chief Architect, Development Manager and Software Engineer
Read full review Cons Cross platform compatibility to integrate with various OS Optimizing latency. Nothing better than work on price, create more flexible options. Read full review As an independent entity, MongoDB Atlas is not included in existing subscriptions from AWS or Azure, requiring an additional support plan and reliance on a third party. Read full review Support Rating We love
MongoDB support and have great relationship with them. When we decided to go with
MongoDB Atlas, they sent a team of 5 to our company to discuss the process of setting up a Mongo cluster and walked us through. when we have questions, we create a ticket and they will respond very quickly
Read full review Alternatives Considered 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 MongoDB Atlas has been in the market for very long time and there are bunch of documentation, training and support for it. It also is specifically designed for the use case similar to our project and big companies in the market uses them for very high load which made us confident about our choice.
Read full review Return on Investment 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 Improved our maintainability Reduced daily work compared to self-hosted solutions Reasonable pricing compared to value Read full review ScreenShots