Overall Satisfaction with Elasticsearch
Elasticsearch its a critical piece of our platform. We rely on it not only for searching of our documents (that is 80% of our business goal and most used feature) but for tracking logs and analytics with Kibana. Elasticsearch allows us to build this amazing search component that gets the user the refinement they want so they can find easily and quickly the results they are looking for. Monitoring our logs is almost that important; we track incidents and code quality among others.
- Search
- Organize data
- Scale
- Mapping and data type auto conversion
- Great search capabilities of our users' transform into more users on the platform
- Analyze the logs and extract data of code issues, allowing us to increase code quality
- sphinx
Even when sphinx base code is on c++ and they obtain a great performance from it, even when they have a set of plugins that allow to integrate with common database systems like MySQL, Elasticsearch is on top of license and all their experience on search. It also provides a long set of plugins and data extractors that can be used with common databases like MongoDB but the decisive point for our company was their modern concepts and ways to integrate and interact with modern software.