Should I use MongoDB or Elasticsearch?
So, you may say, why not use Elasticsearch as your main database. With only a few indexes, MongoDB is as fast as most applications need and if you need performance then a MongoDB schema tuned for minimal indexes is ideal. It’ll outperform Elasticsearch with queries on the similar indexing.
How is Elasticsearch different than MongoDB?
Elasticsearch is built for search and provides advanced data indexing capabilities. MongoDB lets you manage, store and retrieve document-oriented information. It provides features such as fast ad-hoc queries, indexing, load balancing, data aggregation, and server-side JavaScript execution.
How to create an user in MongoDB?
Create MongoDB user Open User Manager and click on Add. Enter the username. Enter the password. This is a required field. Grant the relevant roles by clicking on Grant Roles. To add optional information about the user, use the Custom Data tab and insert it in JSON. Click on Validate JSON to ensure that the code is correct. Click on Add User.
Does MongoDB cache query result?
Yes. MongoDB keeps most recently used data in RAM. If you have created indexes for your queries and your working data set fits in RAM, MongoDB serves all queries from memory. MongoDB does not cache the query results in order to return the cached results for identical queries.
What is MongoDB documentation?
A record in MongoDB is a document, which is a data structure composed of field and value pairs. The values of the fields may include other documents, arrays, and arrays of documents (a group of documents is a collection, such as a table in RDBMS).
Are recursive queries possible on MongoDB?
MongoDB 3.4 introduces the ability to perform recursive graph queries . It was co-released last November with version 2.0 of the BI connector, which provides the ability to query MongoDB using a SQL interface through tools like Tableau and Qlik.