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We've fed up with instability and unpredictability of ELK stack but still in love with the Kibana dashboards.
Hence I'm looking for some potential migration paths. MongoDB looks very promising: huge track record, lots of docs, ability to cope with json easily etc.
Is there some equivalent to Kibana working on top of MongoDB? Some web app which lets you easily run search queries over indexed data, make them into dashboards, add nice maps and diagrams etc.
I've looked into https://docs.mongodb.org/ecosystem/tools/administration-interfaces/ but this seems to be more about managing MongoDB itself rather than playing with data in it.
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Elasticsearch is a powerful search and analytics engine that can be used to search and analyze large data sets. It can be used to replace MongoDB in many cases, but it is not a perfect replacement. There are some trade-offs to consider when choosing between the two.
Elasticsearch is built for search and provides advanced data indexing capabilities. For data analysis, it operates alongside Kibana, and Logstash to form the ELK stack. MongoDB is an open-source NoSQL database management program, which can be used to manage large amounts of data in a distributed architecture.
MongoDB is ~1.15 faster than Elasticsearch with a default-mapped index, and ~1.20 faster than a custom-mapped one.
you could have a look at mongodb-compass click here
if you would want more, the new mongodb 3.2 has features to connect to any BI tool, like talend. Read more here
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