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This free online converter lets you convert code from SQL to Elasticsearch in a click of a button. To use this converter, take the following steps -
Characteristic | SQL | Elasticsearch |
---|---|---|
Syntax | Structured query language with a defined syntax for querying and manipulating data. | Uses a JSON-based query DSL (Domain Specific Language) for querying data. |
Paradigm | Relational database management system (RDBMS) paradigm, focusing on structured data. | NoSQL document store paradigm, focusing on unstructured and semi-structured data. |
Typing | Strongly typed with predefined schemas for tables and data types. | Schema-less or dynamic typing, allowing for flexible data structures. |
Performance | Optimized for complex queries and transactions, but can be slower for full-text search. | Optimized for full-text search and analytics, providing faster search capabilities. |
Libraries and frameworks | Widely supported by various libraries and frameworks across different programming languages. | Supported by specific libraries and frameworks, particularly in search and analytics contexts. |
Community and support | Large community with extensive documentation and support due to long-standing use. | Growing community with active support, especially in search and big data applications. |
Learning curve | Generally has a moderate learning curve, especially for complex queries. | Can have a steeper learning curve due to its unique query DSL and concepts. |