Download Elasticsearch JDBC Driver
What Is a JDBC Driver?
A JDBC driver is a Java library file (.jar) that enables Java applications — including DbSchema — to communicate with a database over a standard API. The driver translates generic JDBC calls into the network protocol understood by Elasticsearch, so you never have to write low-level socket code. Drivers are typically distributed by the database vendor or as open-source projects.
Understanding the JDBC URL
Every JDBC driver identifies the target database through a connection URL. The URL encodes the hostname, port, database name, and any driver-specific parameters as a single string. The exact syntax varies per driver — the details for Elasticsearch are listed in the section below.
Download the Elasticsearch JDBC Driver
Elasticsearch is a distributed search and analytics engine built on Apache Lucene. While primarily a full-text search store, it also functions as a document database for log analytics (the ELK stack), APM, and near-real-time search applications.
Elasticsearch JDBC Driver Details
- Required File(s): x-pack-sql-jdbc-xxx.jar
- Java Driver Class: org.elasticsearch.xpack.sql.jdbc.EsDriver
- JDBC URL: jdbc:es://https:HOST:PORT/DB
- Website: Elasticsearch
License Requirement
Note: The Elasticsearch JDBC driver requires a Platinum or higher Elastic license. It is a commercial feature of Elastic Stack. For open-source alternatives, consider community-built drivers.
Download Elasticsearch JDBC Driver
The driver archive is a zip file. Extract it and load the .jar files using DbSchema's Driver Manager.
DbSchema and Elasticsearch
DbSchema connects to Elasticsearch using the official x-pack-sql JDBC driver and renders index mappings as table schemas. Use the SQL Editor to run Elasticsearch SQL queries against your indices and export results to CSV.
Have connection issues? Contact the DbSchema team for help.
Explore Elasticsearch Visually with DbSchema
Once the JDBC driver is configured, DbSchema connects to your Elasticsearch database and gives you a full graphical workbench — no command-line required. Available as a free Community Edition and a full-featured PRO Edition. No registration needed to get started.
Interactive ER Diagrams
Reverse-engineer your Elasticsearch schema into a drag-and-drop ER diagram. Arrange tables visually, add new columns, define foreign keys, and let DbSchema generate the DDL — all without writing SQL by hand.
Visual Query Builder
Compose Elasticsearch queries by clicking on tables and columns — no SQL knowledge required. Add joins, filters, groupings, and aggregations through a point-and-click interface, then copy the generated SQL or run it directly against the live database.
Relational Data Explorer
Browse Elasticsearch table data and follow foreign key relationships across tables in a single view. Edit cells inline, filter rows, and paginate through large datasets — all without leaving the explorer.
Schema Synchronization
Compare your Elasticsearch schema across development, staging, and production environments. DbSchema generates the exact ALTER statements needed to close the gap and lets you review every change before executing — reducing the risk of unintended schema drift.
SQL Editor
Write and execute Elasticsearch queries in the integrated SQL editor with schema-aware autocomplete, syntax highlighting, and instant result display. Run scripts, inspect execution plans, and export results to CSV or JSON from a single interface.
HTML Schema Documentation
Generate a static HTML site documenting every table, column, type, index, and relationship in your Elasticsearch schema. Share it with your team or embed it in your project wiki — no extra tooling required.
For the full feature list and edition comparison, visit the DbSchema PRO Edition page.