Elasticsearch
Powerful search and analytics engine that indexes data in real-time, providing fast and relevant results across various data types and sources.
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Elasticsearch Pricing Plans
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Free
Free plan for small use cases
Silver
Ideal for small to medium-sized projects
$10
Gold
Suitable for large projects and teams
$50
Platinum
Designed for enterprise-scale applications
$100
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What is Elasticsearch?
Elasticsearch is a search and analytics engine that allows you to store, search, and analyze large volumes of data.
How does Elasticsearch work?
Elasticsearch uses a distributed architecture to store and index data, which can then be searched using RESTful APIs or through a web interface called Kibana.
What is the difference between Elasticsearch and Solr?
While both Elasticsearch and Solr are search engines, Elasticsearch provides more advanced features such as data analytics, visualization, and machine learning capabilities.
Is Elasticsearch open source?
Yes, Elasticsearch is open-source software under the Apache 2.0 license.
What are the system requirements for running Elasticsearch?
Elasticsearch can run on a variety of hardware platforms and operating systems, including Linux, Windows, and macOS.
How do I index data in Elasticsearch?
You can index data in Elasticsearch using the Elasticsearch REST API or through Kibana. You'll also need to create an index template and mapping for your data type.
Can I use Elasticsearch with other technologies like Kafka, Logstash, and Beats?
Yes, Elasticsearch can be used in conjunction with Apache Kafka, Logstash, and Beats (Elastic's ELK Stack) to collect and process large volumes of log data.
How do I query Elasticsearch?
You can query Elasticsearch using a variety of APIs, including the Elasticsearch REST API, Kibana, and other client libraries like Python, Java, or .NET.
What are some common use cases for Elasticsearch?
Elasticsearch is commonly used in search-based applications (e.g., e-commerce websites), analytics platforms (e.g., clickstream analysis), logging and monitoring systems (e.g., Apache Kafka, Beats).
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