Elasticsearch is a search server based on Lucene. It provides a distributed, multitenant-capable full-text search engine with a RESTful web interface and schema-free JSON documents.
Elasticsearch is a search server based on Lucene, a high performance, full-featured Information Retrieval library written in Java. It provides a distributed, multitenant-capable full-text search engine with a RESTful web interface and schema-free JSON documents. It is developed in Java and is released as open source under the terms of the Apache Licence. Itis the second most popular enterprise search engine.
It can be used to search all kinds of documents. It provides scalable, near real-time search, and supports multitenancy. It is distributed, which means that indexes can be divided into shards and each shard can have zero or more replicas. Each node hosts one or more shards, and acts as a coordinator to delegate operations to the correct shards. Rebalancing and routing are done automatically.
Elasticsearch products we support
Use Cases for Elasticsearch
Improving worldwide scientific research and collaboration.
Empowering users to find the learning content they want.
Connecting 250 million people around the world.
Providing real-time insight into business-critical email communications.
Putting millions of data points on the map.
Updating financial institutions’ legacy systems.
Driving revenue through increased marketing conversion rates.
Boosting internal collaboration and professional productivity.
Providing a one-stop e-commerce platform.
Bringing the local shopping mall experience online.
Identifying digital influencers to boost marketing campaigns.
Increasing positive customer interactions.
Turning social sentiment into business insight.
Giving brands a competitive edge through real-time market analysis.
- Automate and optimise complex business practices.
- Heighten customer experiences.
- Drive productivity.
- Reduce operating costs.
Features of Elasticsearch
Real-Time Data – How long can you wait for insights on your fast-moving data? With Elasticsearch, all data is immediately made available for search and analytics.
Real-Time Analytics – Combining the speed of search joins with the power of analytics changes your relationship with your data. Interactively search, discover, and analyse to gain insights that improve your products or streamline your business.
Multitenancy – A cluster may contain multiple indexes that can be queried independently or as a group. Index aliases allow filtered views of an index, and may be updated transparently to your application.
Schema-Free – Simply index a JSON document and it will automatically detect the data structure and types, create an index, and make your data searchable. You also have full control over customising how your data is indexed.
Developer-Friendly, RESTful API – Almost any action can be performed with a simple RESTful API using JSON over HTTP. Client libraries are available for many programming languages.
Apache 2 Open Source Licence – Elasticsearch can be downloaded, used, and modified free of charge. It is available under the Apache 2 licence, one of the most flexible open source licences available.
Apache 2, Apache Lucene, RESTful API, JSON, Java API
Development – subscriptions for development support provide unlimited web and email support during project development phase. This is designed to ensure users have all the resources they need to make Elasticsearch deployments successful.
Production – subscriptions for dedicated support provide access to the engineers who built the Elasticsearch, Logstash, and Kibana code. Our expert solutions help customers implement best practices within their production environments and provide hot fixes as well as emergency patches to keep mission-critical applications up and running.
Our Elasticsearch consulting services
- Software Lifecycle Management / Software Development Life Cycle (SDLC).
- Cloud Hosting.
Organisations Using Elasticsearch
Reebok, Thomas Murray, Paramount Global Services, uShip, Loomis UK