Document database, connector, visualization capabilities

Making sense of your data is an inevitable part of the on-going digital transformation where the massively popular Elastic has combined it’s document database, connector, visualization capabilities and beyond with Elasticsearch, Logstash, Kibana and the plug-ins. It has created a versatile end-to-end stack of open source that gathers. And delivers actionable insights in real time from almost any type of structured and unstructured data source.

Why Elastic Search?

As more and more enterprises have started believing in getting immediate, actionable insight from data matters. Elastic has moved further with more tools that integrate with the platform such as Beats, X-Pack extensions like Shield (security), Watcher (alerting). And Marvel (monitoring) to create an insightful ecosystem for enterprises. Large enterprises like Netflix, Sales force, Twitter, Facebook, Linkedin. And Microsoft of the worlds have realized the powerful promises of Elastic Stack which ranges from search, log analysis to analytics use cases. Adoption of NoSQL database and related technologies have helped them make crucial, informed, real-time decisions using data to gain flexibility and scalability.

Use cases


Lets note that all of these open source capabilities are spread across a variedrange of languages. With many languages and an open codebase. Users can feel free to get involve with the feature development and bug fixing activities as per their requirements.