OpenSearch is a scalable, flexible, and extensible open-source software suite for search, analytics, and observability applications licensed under Apache 2.0. OpenSearch is used in the industry for:
- Full-text search
- Data aggregations
- Logs, metrics and trace analysis
- Data discovery and visualisation of data
Plenty of regular databases offer search capabilities. Then why OpenSearch?
- You need fast full-text search that takes into account:
- Normalisations
- Synonyms
- Stemming
- Ranking by relevance
- You need fast data aggregations and analytics
- You want to offload the computational load from main database
- You need fast search across big number of properties
- You’re searching in JSON objects
- You require auto suggestions and fuzzy search
Please keep in mind that as a search engine database, OpenSearch is not ACID compliant and only offers eventual consistency. It is also slower at deleting and modifying data when compared to a relational database.
In this tutorial, our goal is to explore OpenSearch, add some data, and perform various searches and analysis on the data. OpenSearch administration including OpenSearch high-availability, security, ACLs, etc are out of scope for this tutorial.
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