In this article, we will discuss what exactly Elasticsearch is, alongside the considerations and common questions asked about this essential search engine.

If you're finding performance bottlenecks with full-text search in your database, it may be time to switch to Elasticsearch. In this tutorial, Ianis introduces Elasticsearch and shows us how to implement an efficient search feature in Rails.

Elasticsearch is an open-source search engine and analytics store used by a variety of applications from search in e-commerce stores, to internal log management tools using the ELK stack (short for “Elasticsearch, Logstash, Kibana”). As a distributed database, your data is partitioned into “shards” which are then allocated to one or more servers.

In this post, we are going to cover some of the most common misconceptions and queries users have about AWS Elasticsearch, Open Distro & OpenSearch as these three terms are often being used interchangeably to refer to any Amazon backed distribution of Elasticsearch and Kibana.

MeiliSearch is a search API that is RESTful. It aspires to be a ready-to-use solution for everyone who wants to provide their end-users with a quick and relevant search experience. Effective search engines can need a large investment of time and money. They are only available to businesses with the financial resources to create a custom search solution tailored to their specific requirements.

Use Elasticsearch Features on HerokuPower your data collection and analysis processes with Elasticsearch on Heroku. While Heroku streamlines your app developing process, this search engine add-on allows data analysts and app developers to manage, sort, and analyze information in near real-time. Explore the benefits of these two tools and how Xplenty provides innovative data integration.

Looking for ways to track your organic search, and learn which keywords and landing pages are ranking best? In this episode of Data Snacks, we’ll help you decide which topics and keywords to focus on for content marketing.

Data is everywhere and there is no doubt that the datasets we now spans gigabytes easily. We live in a data-rich world. Everyone is on the internet and getting meaningful information from queries this data set is critical. Most of the time they get overwhelmed with the data and have trouble finding what they are looking for. Here comes the Search Engines which is designed to search for websites on the internet based on the user's search query.

On the 14th of January 2021, Elasticsearch B.V. announced that future releases of Elasticsearch and Kibana would be released under a dual license SSPL (Server Side Public License). As a result of this change it is evident that the components that make up Elasticsearch and Kibana in version 7.11 (and onwards) of the ELK Stack will no longer be considered as open source based upon the Open Source Initiative's requirements for licensing.