Comparing Microsoft SQL and Perfect Search Technologies 2026

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Structured Query Language (SQL) has been the backbone of data management for decades. In 2025, its just as relevant as ever. As data continues to drive decision-making across industries, learning SQL is extremely valuable.
As Database Engines ranks, ElasticSearch is the most common solution used by developers in 2023. It is followed by Splunk, Solr, MarkLogic, Algolia, Microsoft Azure Search, Sphinx, ArangoSearch, Virtuoso, and OpenSearch.
MongoDB excels at inserting or updating a large number of records. MySQL is faster when selecting a large number of records. MongoDB does not have a schema, providing more flexibility and allowing it to work with unstructured, semi-structured, and structured data.
Elasticsearch and PostgreSQL are both better for building sophisticated search implementations - but if you want something not-very-sophisticated that you can build pretty quickly and forget about SQLite may be the right tool for the job.
NoSQL is a non-relational database, meaning it allows different structures than a SQL database (not rows and columns) and more flexibility to use a format that best fits the data. The term NoSQL was not coined until the early 2000s.
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Elasticsearchs architecture is designed to be horizontally scalable, with data distributed across multiple nodes in a cluster. Data is indexed using inverted indices, which enable fast and efficient full-text searches.
0:33 15:17 The semi-structured. Data is stored and automatically indexed by Cosmos DB this information is thenMoreThe semi-structured. Data is stored and automatically indexed by Cosmos DB this information is then presented to the underlying. Large language model to extract context and generate a response.

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