Apache lucene libraries in cloudant4/12/2023 ![]() ![]() There's also the other effects that indexing everything (or as much as possible) has – inserts become a lot more work as they have to be indexed too and even with background indexing, the work still has to be done.Īt this point, its worth re-evaluating the problem and the stack. The more indexes there are, the more memory is consumed and, although you can build a machine with terabytes of RAM, it's a very big investment. But indexing everything wasn't going to be an option MongoDB needs to keep indexes in memory, alongside the working set, to ensure performance. ![]() The query demands from the company's data explorers were, though, more nebulous and ideally, for those particular users, they would have wanted every field indexed so they could search through everything. The architecture was simple with indexes on order numbers, customer names and other simple obvious keys. The application the company had developed used MongoDB as a fast document store with blazing retrieval speeds and incoming data. The problem is that for these explorers to be effective they need fast responses to database spanning, complex queries. So much data that within the company people are actively exploring the data, looking for new correlations, patterns and techniques to extract more value from it. At its core, the data stored is a rich warehouse of how the company's products are performing and the company's own interactions with its customers. Take as an example a company who has developed their application stack based around MongoDB so that it is a fast and effective platform which is powering the company's growth. But, as with all systems, the demands on that system evolve, whether it be from changes in your applications or new requirements from users, and it is always appropriate to review how well your technology stack matches those demands. MongoDB is great for the majority of the work needed to power a modern application's data storage needs. So why Elasticsearch? Let's talk about MongoDB first and show you why. When we at Compose considered what would be joining MongoDB on our roster of databases, we were looking to ensure our customers had all the tools they needed. Elasticsearch at Compose - How It Fits compose elasticsearch Free 30 Day TrialĪs you will see, we've not only changed our name but we've also launched the first of our new hosted database technologies, Elasticsearch. ![]()
0 Comments
Leave a Reply.AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |