What Makes Us Stand Out

All-inclusive service

Each project is not only handled with high level customization but also gets comprehensive ongoing support.

We are innovative

In a world that is constantly changing at blazing speeds, we stay on top of technological trends.

We have a global presence

Geographical boundaries are not a limitation as we serve clients globally. Irrespective of where you are, we meet your demands.

About elasticsearch

ElasticSearch is an open-source search engine platform designed using Lucene library to produce a distributed and multitenant capable search engine with HTTP web interface. It’s developed using Java programming language.

Main uses


  • Features a scalable search and the near real-time search which enables it to support multitenancy.
  • It’s the best alternative for MongoDB and RavenDB.
  • Capable of handling all types of data including textual, structured, numerical and unstructured data.
  • It’s an Open source with a developer-friendly License Apache Licence 2.0.
  • Automatic rebalancing and routing.
  • Developed alongside a data collection and log-parsing engine referred to as Logstash.
  • Provides the core security feature of the elastic stack free of charge.
  • Its security feature is the TLS meant for encrypted communications.

History of elasticsearch

Compass is a precursor to Elasticsearch, and it was created by Shay Banon back in the year 2004. Compass was later on created to its bigger version to provide a scalable search solution. If you are not sure what are best ways to improve your investment property’s value, then contact home inspection specialists in California. This was what brought the first version of Elasticsearch. In 2012, the commercial version of ElasticSearch was then released to the market by Elastic NV.

Elasticsearch official website

Official demo – how it works?

Advantages of elasticsearch

  • Provides a full-text search.

  • Has parallel processing.

  • Built-in parallelization

  • Has a more refined and robust architecture.

  • Nodes handling makes it work on a large scale.

Disdvantages of elasticsearch

  • Has some language constraints. It doesn’t support Multilanguage.

  • It needs a group of servers that contain 64 GB for it to work.

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