elastic_songs_api VS Apache Solr

You can find the source code of an example project that we're going to build here. The commit history more or less corresponds to the order of the sections in this article.

Generally with term vectors and a tf-idf index. Lucene is a good starting place to help.

try elasticsearch or solr, behind the scenes they both use https://lucene.apache.org/ if you don't want basically a full nosql database service, but I'd just slap solr up and call it a day.

OpenSearch is an open-source database to ingest, search, visualize, and analyze data. It’s built on top of Apache Lucerce, a FOSS library for indexing and search, which OpenSearch leverages for more advanced analytics capabilities, like anomaly detection, machine learning, full-text search, and more.

Lucene is the thing you think you need. Elastic Search is a nice wrapper for it. But these are Java, so maybe you want Sphinx Search (C++) or MeiliSearch (Rust).

is built on top of Apache Lucene;

Elasticsearch is a distributed, free and open search and analytics engine for all types of data, including textual, numerical, geospatial, structured, and unstructured. It is built on top of Apache Lucene.

We’re using a self-managed OpenSearch node here, but you can use Lucene, SOLR, ElasticSearch or Atlas Search.

Elasticsearch is the database and is based on Apache Lucene, which is a time-series database similar to InfluxDB. Logstash is the service that listens on selected ports, ingests data pipelines, processes the data (eg. does geolocation or domain lookups of IP addresses), and writes the data to Elasticsearch. Kibana is equivalent to Grafana and manages visualizations (panels) and dashboards.