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Kibana also provides a presentation tool, referred to as Canvas, that allows users to create slide decks that pull live data directly from Elasticsearch. [ 5 ] The combination of Elasticsearch, Logstash , and Kibana, referred to as the " Elastic Stack " (formerly the "ELK stack"), is available as a product or service. [ 6 ]
Elasticsearch can be used to search any kind of document. It provides scalable search, has near real-time search, and supports multitenancy. [29] "Elasticsearch is distributed, which means that indices 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 ...
It was founded in 2012 in Amsterdam, the Netherlands, and was previously known as Elasticsearch. [ 3 ] The company develops the Elastic Stack— Elasticsearch , Kibana , Beats, and Logstash—previously known as the ELK Stack, [ 4 ] free and paid proprietary features (formerly called X-Pack), Elastic Cloud (a family of SaaS offerings including ...
OpenSearch is a Lucene-based search engine that started as a fork of version 7.10.2 of the Elasticsearch service. [8] [2] It has Elastic NV trademarks and telemetry removed. It is licensed under the Apache License, version 2, [2] without a Contributor License Agreement. The maintainers have made a commitment to remain completely compatible with ...
Elasticsearch (search engine) Logstash (event and log management tool) Kibana (data visualization) GRANDstack [23] GraphQL (data query and manipulation language) React (web application presentation) Apollo (Data Graph Platform) Neo4j (database management systems) JAMstack [24] JavaScript (programming language) APIs (Application programming ...
Solr (pronounced "solar") is an open-source enterprise-search platform, written in Java.Its major features include full-text search, hit highlighting, faceted search, real-time indexing, dynamic clustering, database integration, NoSQL features [2] and rich document (e.g., Word, PDF) handling.
Amazon Kinesis is a family of services provided by Amazon Web Services (AWS) for processing and analyzing real-time streaming data at a large scale. Launched in November 2013, it offers developers the ability to build applications that can consume and process data from multiple sources simultaneously. [2]
The main difference between OpenShift and vanilla Kubernetes is the concept of build-related artifacts. In OpenShift, such artifacts are considered first class Kubernetes resources upon which standard Kubernetes operations can apply.