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Real-time data integration

👉 Learn how to use RAW to integrate and serve data in real-time. 👈

  • Building ETL/ELT pipelines is a complex, expensive and time-consuming process. ETL/ELT pipelines can also lead to data duplication, increased latency and potential loss of data or precision during the transformation processes.
  • The ability to build and serve datasets quickly can be instrumental to your developer and business teams. This can lead to happier developers and faster business decisions!
  • With RAW you quickly build and deploy APIs - called Snapis - that directly query and integrate data from your operational systems and deliver real-time results all without ETL/ELT pipelines.
Stories from users

Learn how we created a live business dashboard using RAW and avoiding creating a data warehouse in the process.

How does it work?

To integrate data in RAW, you build APIs using RAW's built-in language called Snapi. Snapi is a low-code scripting language that provides advanced querying capabilities. Snapi allows you to quickly build APIs that query data directly at source from databases, data lakes, file stores or even web services. Snapi allows you to transform and join data in complex ways, all within a single solution.

As a result, you no longer have to build and maintain dedicated ETL/ELT pipelines for many use cases. Instead, data is queried and transform in real-time, and published as web services, which can be easily consumed by other users or applications. This in turn means you get to deliver projects faster.

Other Benefits

Since the RAW platform hosts these APIs as a service, you do not have to worry about operations. You also get access to RAW's built-in monitoring tools, as well as RAW's built-in API catalog. As a result, you have a leaner and faster data integration platform with a secure, single access point of data with very little development and operational effort.

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