Elasticsearch – a free case study
29.06.2019 - Read in 1 min.
Elasticsearch is a tool for distributed storage of large amounts of material data. With Elasticsearch, the results match the needs of your users and the business more precisely. We have prepared a case study that shows you what the deployment of Elasticsearch looks like in real life.
For many people who have had the opportunity and pleasure to work with Elasticsearch, this is an efficient, non-relational database oriented towards full text search in large, distributed sets of documents. This is of course true, however, Elasticsearch offers also many features that have a direct impact on the results we get.
Below are five features of Elasticsearch, which are not necessarily commonly known, but can ideally respond to business needs and challenges:
- Reverse search – Percolator
Helps to find customers interested in a new product/offer from previous searches.
Almost “real time” data access
Despite the distributed architecture, data synchronization takes place within a couple of seconds.
- Analyzers for non-English languages
Elasticsearch processes the complexities of non-English languages (for example Polish).
- Linear scaling mechanisms
Elasticsearch grows with your business without the necessity to modify the architecture.
- Hot-Warm Architecture
Frequently used data is easily and quickly accessible and the old data is safely stored on a separate machine.
Download free whitepaper and learn more