Online SQL to Elasticsearch Converter
Click to select or drop your input code file here.
You can also type the input code below.
How to use this tool?
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 -
- Type or paste your SQL code in the input box.
- Click the convert button.
- The resulting Elasticsearch code from the conversion will be displayed in the output box.
Key differences between SQL and Elasticsearch
| 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. |
