Elastic is thrilled to announce that Elasticsearch and Kibana can once again be called Open Source.
This news fills the team with immense joy and excitement. Open source is deeply ingrained in Elastic’s DNA, and being able to use this term again is a moment of pure happiness for them.
In the coming weeks, Elastic will be adding AGPL as an additional license option alongside ELv2 and SSPL.
Despite the license change three years ago, the team never stopped believing in and acting as an open source community. Now, with AGPL, an OSI-approved license, they can confidently use the term Open Source without any doubts or confusion.
Elastic’s commitment to Open Source has never wavered. For over 25 years, the founder has been a true believer in its principles.
The license change three years ago was a response to issues with AWS and market confusion. The team knew it would lead to a fork of Elasticsearch, but it was a necessary step. Thankfully, it worked.
Amazon is now fully invested in their fork, market confusion has been largely resolved, and Elastic’s partnership with AWS is stronger than ever. They were even named AWS Partner of the Year.
Elastic aims to make life as simple as possible for their users. Whether users prefer ELv2, SSPL, or the new AGPL option, nothing changes for them. The team chose AGPL to pave the way for more Open Source options in the future. Their work with OSI will help expand the Open Source licensing world.
The team is overjoyed to call Elasticsearch Open Source again. With any change, there may be confusion and trolls, but Elastic is ready to address any concerns. Their actions three years ago have led them to this point, and they are excited to build a better future for their users.
Key features of Elasticsearch
Elasticsearch is a powerful, distributed search and analytics engine built on top of Apache Lucene. Here are some of its key features:
Full-Text Search: Elasticsearch excels at full-text search, allowing for complex queries and fast retrieval of documents.
Real-Time Data Analytics: It supports real-time data analytics, making it ideal for applications that require up-to-date information.
Horizontal Scalability: Elasticsearch is designed to scale horizontally, meaning you can add more nodes to handle increased load and data.
Distributed Data Storage: It distributes data across multiple nodes, ensuring high availability and fault tolerance.
Multi-Tenancy Support: Elasticsearch can handle multiple tenants, making it suitable for environments where different users or applications need isolated data spaces.
RESTful API: It provides a RESTful API, making it easy to integrate with other applications and services.
Clustering and High Availability: Elasticsearch supports clustering, which allows for high availability and failover capabilities.
Security Features: It includes robust security features such as role-based access control (RBAC), encrypted communications, and audit logging.
Aggregation and Analytics: Elasticsearch supports powerful aggregation capabilities, enabling complex data analysis and visualization.
Machine Learning: It includes machine learning features for anomaly detection and predictive analytics.
I think these impeccable features make Elasticsearch a versatile and powerful tool for a wide range of search and analytics applications.
Feature rich, ease of use and open source makes elasticsearch a first choice search toll for developers and ethical hackers.
Please, let us know if want to know any particular aspect of feature of elasticsearch, we will be glad to help you.
