We have a problem at Matterbeam. Not a technical problem. A trust problem. Every company we talk to has heard our pitch before, or at least they think they have. "We'll solve your data pipeline mess." "No more broken integrations." "Data available everywhere,
A behind-the-scenes look at building AI infrastructure with Promoboxx We've been having a lot of conversations lately that start the same way: "We want to experiment with AI, but our data infrastructure is slowing us down. We're wasting all our time on $#&%!* pipelines instead
There’s a moment we kept seeing at ODSC East last week. Someone would be walking by, scanning booths like we all do at conferences—half-looking for free stuff, half-trying to avoid eye contact—and then they’d stop. Dead in their tracks. Not for a t-shirt. Not for a
Let's trace the evolution of the "data lake" concept The term "data lake" was coined by James Dixon, then CTO of Pentaho, in 2010. Dixon used the metaphor of a lake to contrast with the more structured "data mart" (which he compared
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
