Jekyll
PostgreSQL
Integrate Jekyll with PostgreSQL
Don't go through the pain of direct integration. RudderStack’s Jekyll integration makes it easy to send data from Jekyll to PostgreSQL and all of your other cloud tools.
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Easily integrate Jekyll with PostgreSQL using RudderStackRudderStack’s open source Jekyll integration allows you to integrate RudderStack with your Jekyll to track event data and automatically send it to PostgreSQL. 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 PostgreSQL and RudderStack
Load event dataEasily send event stream and batch data to PostgreSQL from multiple sources.
Automatic schema creationSkip the formatting work in PostgreSQL and move faster with predefined data structures.
Customize sync schedulingEasily configure custom sync schedules to PostgreSQL that work with your existing data workflows.
Frequently Asked Questions

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

Pricing Jekyll and PostgreSQL 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 PostgreSQL.

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

Use the PostgreSQL integration with other popular sources
About PostgreSQL

PostgreSQL database (also known as Postgres) is a popular open-source database used by thousands of companies worldwide for their data storage requirements. It is enterprise-grade and supports both relational and non-relational queries.

Businesses use PostgreSQL as their low-cost data warehousing solution to deliver efficient analytics and user insights. PostgreSQL is fast, scalable, and easy to administer. It also has excellent support for third-party applications and analytical tools. PostgreSQL is known for its reliability, high performance, and robustness.