Elasticsearch is a readily-scalable enterprise-grade search and analytics engine. It enables users to search, process and store huge amounts of data quickly.
It’s RESTful, and can power extremely fast searches that allow users to gather complex relations and patterns from the data in near real-time. Unlike regular SQL, Elasticsearch comes with Query DSL, which supports full-text search on stored data.
It is more powerful at data aggregations. It can filter within a fraction of the time taken by conventional SQL systems.
Users can build search-filters of varying complexities, search engines, auto-suggests, processing logs, anomaly detection, etc. It also helps ingest structured or unstructured data from multiple sources. It stores this data in a common format to process in a singular fashion.
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ActaPublica.se is Sweden's largest online archive of legal records, collected over decades. The user can search and download millions of quality government documents with the help of different filter options including specific keywords.Read More
Through this online coaching and e-Learning platform, experienced experts share knowledge through telepresence. In live sessions, experts use voice, video call, and screen sharing. This offers a personalized experience to skill seekers. This high-traffic web application has taken many man-hours to develop.Read More
Our project is a highly customized PHP solution that we have worked on with LiteBreeze since 2009. We are happy with the services provided by LiteBreeze and we feel that service and technical capability is continuously being improved.
It was great to work with LiteBreeze. They collaborated well with our Swedish team. They are a responsible and trustworthy development partner!
We trust LiteBreeze with all our web development work in Siren and Acta Publica. They developed the archive service for Acta Publica which all Swedish media firms rely on daily. We recommend LiteBreeze for their AWS expertise.
Elasticsearch is coupled with the integrated Kibana visualization and reporting tool, this allows users to visualize complex data and present it in an easily understandable manner.
Elasticsearch, Logstash and Kibana coupled with the tools like Beats is referred to as the ELK stack. Integration with Beats and Logstash, enables users to easily transform source data and load it into your Elasticsearch cluster.
The Elastic cluster is easily scalable and can hold large amounts of data scaling even to Petabytes. It is offered in popular languages like PHP, .NET, Python, Java etc and works well with popular web-frameworks like Laravel.
LiteBreeze has been actively using the ELK stack for the last few years. For example: as a product catalog for a webstore client. It enables search and advanced filtering, text analysis and processing, collects and monitors logs and visualizes the application/infrastructure metrics.
Few of our recent use-cases were:
Many large companies use Elasticsearch for storing and searching their documentation. Airbus is one example. They have two billion blocks of technical documents related to their aircraft.
Elasticsearch allows them to give efficient support to all partners involved in manufacturing and servicing their various airplane models. Searches are made through a modern document search platform.