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Jekyll
MS SQL Server

Integrate Jekyll with MS SQL Server

Don't go through the pain of direct integration. RudderStack’s Jekyll integration makes it easy to send data from Jekyll to MS SQL Server and all of your other cloud tools.

Easy Jekyll to MS SQL Server integration with RudderStack

RudderStack’s open source Jekyll integration allows you to integrate RudderStack with your Jekyll to track event data and automatically send it to MS SQL Server. With the RudderStack Jekyll integration, you do not have to worry about having to learn, test, implement or deal with changes in a new API and multiple endpoints every time someone asks for a new integration.

Popular ways to use MS SQL Server and RudderStack

Load event data

Easily send event stream and batch data to MS SQL Server from multiple sources.

Automatic schema creation

Skip the formatting work in MS SQL Server and move faster with predefined data structures.

Customize sync scheduling

Easily configure custom sync schedules to MS SQL Server that work with your existing data workflows.

Frequently Asked Questions

With Rudderstack, integration between Jekyll and MS SQL Server is simple. Set up a Jekyll source and start sending data.

Pricing Jekyll and MS SQL Server can vary based on the way they charge. Check out our pricing page for more info. Or give us a try for FREE.

Timing can vary based on your tech stack and the complexity of your data needs for Jekyll and MS SQL Server.

Yes, RudderStack streamlines the integration and management of your connection between Jekyll & MS SQL Server, but you check out our guide on How to load data from DoubleClick to MS SQL Server to learn how to connect the tools manually.

Use the MS SQL Server integration with other popular sources
Use the Jekyll integration with other popular destinations
About MS SQL Server

Microsoft SQL Server or MS SQL Server is a Relational Database Management System (RDBMS). It is used to store and retrieve data as required by other applications. With SQL Server, you can query data efficiently from tables, create database objects, and administer your data. Microsoft has released different versions of SQL Server over the years, which are aimed at different audiences and different workloads.