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29.06.2019 - Read in 1 min.

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.

Elasticsearch RST Software
4.9/5 - (29 votes)

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:

  1. 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.
  2. Analyzers for non-English languages
    Elasticsearch processes the complexities of non-English languages (for example Polish).
  3. Linear scaling mechanisms
    Elasticsearch grows with your business without the necessity to modify the architecture.
  4. 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

ElasticSearch - RST Software




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4.9/5 - (29 votes)


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