How to combine data from Chrome UX Report with IBM Informix

Pipes allows you to quickly Integrate Chrome UX Report with IBM Informix data for a combined analysis.

Load data from Chrome UX Report and IBM Informix into your central data warehouse to analyze it with the business intelligence tool of your choice.

Pipes allows you to connect to Chrome UX Report, IBM Informix, and more than 200 other APIs, web services, and databases with ready-to-use data connectors. Automate your data workflows through data pipelines without a single line of code.

Connect your data warehouse

It will be the destination of all data pipelines you build. Pipes supports relational databases in the cloud and on-premises.

Connect to Chrome UX Report and IBM Informix

You just need to enter the associated credentials to allow Pipes access to the Chrome UX Report API and the IBM Informix API.

Combine data from Chrome UX Report and IBM Informix

Pipes lets you select the data from Chrome UX Report and IBM Informix that you want to load to your data warehouse. These data pipelines will run automatically on your defined schedule!

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About Chrome UX Report

Google’s Chrome UX Report (CrUX) is a revolutionary resource that provides comprehensive insights into user experiences on websites, detailing key metrics and user interactions. Chrome UX Report empowers developers and businesses to fine-tune web applications, optimizing performance, and user satisfaction. By leveraging the UX Report alongside our corresponding Chrome UX Report API data connector, users can seamlessly access, integrate, and visualize real-world user experience data, enhancing the ability to make informed decisions and implement effective enhancements on their digital platforms.

About IBM Informix

IBM Informix is a product family within IBM’s Information Management division that is centered on several relational database management system (RDBMS) offerings. The Informix server supports the object-relational model, which has permitted IBM to offer extensions that support data types that are not a part of the SQL standard. The most widely used of these are the time series and spatial extensions, which provide both data type support and language extensions that allow high performance domain specific queries and efficient storage for datasets based on time series and spatial data.

Your benefits with Pipes

Get central access to all your data

Access data from 200+ data sources with our ready-to-use connectors and replicate it to your central data warehouse.

Automate your data workflows

Stop manually extracting data and automate your data integration without any coding. We maintain all pipelines for you and cover all API changes!

Enable data-driven decision-making

Empower everyone in your company with consistent and standardized data, automate data delivery and measure KPIs across different systems.

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