Pipelines suck Data agility

Imagine a world where data flows freely

At Matterbeam, we've developed an innovative model that addresses the pervasive complexity hindering effective data utilization in today’s companies. Our model moves away from traditional data pipelines, instead offering a framework built on the principles of immutability, transformation, composability, replication, domain-driven design, and streaming. For those who

3 min read
Imagine a world where data flows freely

At Matterbeam, we've developed an innovative model that addresses the pervasive complexity hindering effective data utilization in today’s companies. Our model moves away from traditional data pipelines, instead offering a framework built on the principles of immutability, transformation, composability, replication, domain-driven design, and streaming.

For those who want to go deep, take a look at our detailed whitepaper.
For the TLDR version, read on...

The pervasive data challenge...

Businesses are struggling to harness the full potential of their data. Despite considerable investments, the anticipated value remains unrealized, leading to a sector-wide sentiment of helplessness. This indicates a deeper, systemic issue rather than isolated instances of failure, calling for a shift in the approach to data management.

...That's leading to a crisis in data systems

Reflecting on the 'software crisis' of the past, we see parallels in the current data systems dilemma. The complexity of orchestrating data across multiple platforms results in rigid and non-scalable systems. Our observations reveal that the traditional reliance on a singular system model is no longer viable for the diverse and dynamic data needs of today's enterprises.

It's time to re-define data management

We advocate for a distributed systems perspective for organizational data. Our ethos rejects the notion of data residing in a single location. Instead, we embrace the reality that data is dynamic, with evolving use cases necessitating an adaptable and fluid approach. We propose a set of characteristics that redefine data management to be mechanical, predictable, clear, accessible, specific, and fearless.

Introducing Matterbeam

We're rethinking — dare say reinventing — the data pipeline into a series of discrete components, emphasizing immutable, time-sequenced data to facilitate synchronization and reduce complexity. Through composability and domain-driven design, Matterbeam promotes flexible and scalable data transformations. Our streaming infrastructure supports both real-time and batch processing, with centralized control and metadata visibility streamlining data governance.

In short, we're creating a platform that allows you to send data anywhere, anytime.

Connect
Decouple the sources of data from the systems using them
The power of Matterbeam lies in its ability to automate how data consumers connect with data sources. Instead of building traditional pipelines, you simply collect data from any source or database, translate it into a format that data consumers can subscribe to, and then send data to any source, database, or destination.

Transform
Streamline and simplify data transformations
Matterbeam visualizes all the data flows within your organization, providing a real-time, graphical representation of data flows. This includes the ability to transform data directly in the visual flow of data streams and preview the results before committing to the transformation.

Today's "modern" data systems often hide these processes, leading to complexity and under utilization of data. With Matterbeam, transformations are standardized and straightforward so different stakeholders can easily reformat data for their purposes, spurring innovation and more practical and repeatable use of data.

Replay
Endlessly emit data across time

Matterbeam's Emitter serves as the data delivery mechanism, translating the internal Matterbeam format to suit the target system's requirements. Functioning as the ‘load' component of a conventional ETL process, the Emitter operates independently from data collection, offering the flexibility to pause and restart without impacting the source.

This separation allows for the simultaneous and continuous replay of data across multiple destinations. New Emitters can be introduced at any point, facilitating adaptable and retrospective applications of data streams to a variety of targets for diverse uses.

Resources to learn more

Check out our growing list of use cases we're deploying with our early design partners.

Watch our early access preview of the Matterbeam platform.

Understand our transparent and simple pricing model.

We're looking for our next design partners

If you're interested in testing or deploying Matterbeam for a particular data challenge we'd love to talk. Email us or book a time to chat.

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