Elastic Server

Elastic Server

Elastic Server is a distributed search and analytics engine based on the open-source Elasticsearch project. It enables fast indexing and querying of large data volumes across multiple servers and provides a REST API for integrating search functionality into applications.
distributed search-engine analytics rest-api elasticsearch

Elastic Server: Distributed Search and Analytics Engine

Elastic Server is a distributed search and analytics engine based on the open-source Elasticsearch project. It enables fast indexing and querying of large data volumes across multiple servers and provides a REST API for integrating search functionality into applications.

What is Elastic Server?

Elastic Server is a distributed search and analytics engine based on the open-source Elasticsearch project. It is designed to provide fast and scalable search capabilities for large volumes of structured and unstructured data.

Some key features of Elastic Server include:

  • Distributed and scalable architecture that can span multiple servers
  • Fast and efficient indexing of data for near real-time search
  • Powerful query DSL based on JSON over HTTP for advanced data analysis
  • Integrates easily with Logstash and Beats for data ingestion and processing
  • REST API for integrating search functionality into web and mobile applications
  • Open source under the Apache license with commercial support offered by Elastic

Elastic Server builds a search index which allows blazing fast searches across massive data sets. Its distributed nature provides redundancy, failover, and easy horizontal scalability. The REST API allows developers to integrate complex search functionality with just a few lines of code.

Common uses of Elastic Server include log analysis, application monitoring, operational intelligence, advanced data analytics, and big data search applications. It complements databases as a way to search unstructured data efficiently at scale.

Elastic Server Features

Features

  1. Distributed search and analytics engine
  2. Horizontally scalable
  3. Real-time search and analytics
  4. RESTful API
  5. Schema-free JSON documents
  6. Multi-tenancy
  7. High availability

Pricing

  • Open Source
  • Subscription-Based

Pros

Fast and scalable

Easy to integrate with applications

Open source with commercial support available

Flexible schema design

Powerful query DSL

Handles structured and unstructured data

Cons

Complex to setup and manage

Steep learning curve

Not ideal for transactional workloads

Can be resource intensive

Official Links


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