Convert SQL Server to Elasticsearch JSON | Data Integration

Use FME to convert SQL Server data into JSON for loading into Elasticsearch.

Automate SQL Server to Elasticsearch Data Migration Tasks

FME is data conversion and integration technology that helps you move data from SQL Server databases to Elasticsearch enterprise search engines in an automated way. Through its graphical user interface quickly build workflows that convert tabular SQL Server data into JSON documents for Elasticsearch without writing any code. FME natively supports both SQL Server reading and JSON writing and unlike online data translators, has a library of tools that enable you to manipulate a dataset’s structure and contents to fit the target system’s data model. For instance, you can break a SQL Server dataset into its components, extract subsets of data, edit contents and create a perfectly formatted JSON file that will load into your Elasticsearch system.

By deploying FME technology via FME Server or FME Cloud, you can automate SQL Server to Elasticsearch data loading tasks with capabilities like scheduling and real-time event processing.

Download a free 30-day trial of FME and learn how easy it is to automate SQL Server to Elasticsearch data migration tasks, without having to write any code.

Common Conversions

FME lets you integrate many applications and file formats. Here are some of the ways our users convert SQL Server and Elasticsearch.

Comma-Separated Value (CSV)

Microsoft SQL Server

Microsoft Excel

Microsoft SQL Server

Comma-Separated Value (CSV)

Esri ArcGIS Shapefile (SHP)

Microsoft SQL Server

About

SQL Server

Microsoft SQL Server is a database solution with the primary function of storing and retrieving data as requested by other applications.

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Elasticsearch

Elasticsearch is a full-text search and analytics engine capable of performing complex searches on large volumes of data, stored as JSON documents, in real-time.

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FME

FME is the data integration platform with the best support for spatial data. Save time by using its drag-and-drop interface to connect data from hundreds of formats and applications, transform data in limitless ways, and automate virtually any data workflow.

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