Data Mesh

Deliver data products via APIs, faster, more efficiently and at scale with our collaborative DataOps approach.


Heard about data mesh?

It’s a new approach, not just for technology but for data ownership and governance too. Primary drivers for adoption include:

  • Reduce time-to-market for data delivery. Data mesh enables federation of delivery and governance by removing bottlenecks on centralized data teams.
  • Produce higher quality, trusted data products, by placing ownership into the hands of SMEs within the data domain.
  • Promote reusable data components, by taking a data-as-a-product approach with accountability and delivery both aligned to successful customer outcomes.
  • Leverage data infrastrustructure as a service, where each domain-aligned delivery team can make use of shared and standardized tools to deliver more efficiently.

Create and share data as APIs with RAW, use inside your data mesh architecture to accelerate delivery. Here’s why:

RAW Features and Benefits


Spend all your effort on business problems and not infrastructure

Git Integration

Greater collaboration and productivity gains to scale your teams' delivery

DataOps Inside

Deliver and iterate faster with higher quality

SQL on Databases, Files & APIs

Query and reuse any data source and output in multiple formats

Smart Caching

Faster results without complex configuration

Learn More


Introducing the RAW Data Product Platform

Data Products as a Service: A collaborative DataOps platform as a service for data APIs. Create and Share data faster.


Data as a Product

Do we really manage our data as a product? What does that mean for customers? Is a data product really that different from a traditional product? And what can we learn from other more established industries about their products, and apply them back to our fledgling data product space?


Calculation-as-a-Service: Value at Risk (VaR) within Financial Services

A worked example of using RAW Labs Data Product platform to perform large scale data intensive calculations, using "Value at Risk" from the Financial Services domain.

Get Started For Free

Thank you for your interest. Expect to hear from us soon.


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