You’re Doing ETL Wrong – Here’s a Better Way If you’re still managing your ETL/ELT pipelines like it’s 2015, it’s time to rethink your approach. The recent pricing change by Fivetran is just another glaring example of why the current trend in data integration is
Did you know you can send data to Matterbeam over HTTP using our HTTP Collector? Matterbeam provides an always available HTTP endpoint where you can PUT data for immediate use. Simply provide the name of your dataset in the url and a record in the request body. You can get
This is a comprehensive guide on how to get set up using Matterbeam's Salesforce Collector to gather your CRM data. With Matterbeam, you can select specific Salesforce objects for collection, ensuring your data is instantly available for transformation and emission to various destinations. To discover how Matterbeam can
Does your organization struggle with data sprawl? Do you have valuable information scattered across a myriad of different silos, tools, and personal computers? Are you dealing with duplicates or inconsistently named datasets that complicate the data management process? Or perhaps, your dilemma is having numerous different datasets with the same
In this short demo we showcase stream joins, our new feature that enables you to do stateful data transformations in Matterbeam. 📍Stream joins are often used in situations where data from one stream needs to be enriched with data from another stream, as well as for various other analytics use
Data integration tools are notoriously complex, and most organizations already have a substantial amount, so you're probably wondering... How long will it take to introduce this into my data stack and data operations workflows? TLDR - not long at all. Here’s why... No on-prem setup or software
I'm thrilled to share with you an exclusive early access walkthrough of our Data Agility Platform. At the core of what we are doing and thinking about every day is how to rethink the outdated, one-size-fits-all data management systems that have long plagued businesses. Traditional data pipelines, rooted
