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Could the Data Streaming Platform (DSP) be more critical to business than the database has been?

- I think so... and this blog is dedicated to this idea.

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In 28+ years in Tech, I’ve lived through multiple ‘new paradigms’ including; Dot.com, Digital, Cloud, SaaS, Big Data, and currently AI.  Equally as significant, Data Streaming has emerged into the mainstream.

- Like all new paradigms, Data Streaming requires us to adopt a new mindset. Software requires a fundamental change in engineering; a ‘shift-left’ from processing static data in old data stores, to stream-processing data-in-motion.

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For the past 7+ years, I've worked at Confluent::

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• Confluent solves one of the most important problems in business — unlocking value from data.​

  • ​​Our Data Streaming Platform (DSP) enables companies to connect, store, process, govern, and share data throughout an organisation so businesses can build smart, real-time applications.​   

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At Confluent, we are working to put our DSP at the heart of every company.

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Confluent's DSP drives business agility and value across 3 pillars:

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   i.  Make Money: Enable new solutions and real-time applications & AI, plus accelerated TTM

2. ii.  Save Money: Drive massive cost savings in data management, including; Architecture, Governance, Processing and Consumption of Data

3. iii.  Protect Money: Mitigate risks of downtime, performance and security concerns.