![]() This integration means that owning the data gives platform vendors control over various workloads. Even though storage and compute may be architecturally distinct, they are effectively integrated. Historically, data platforms control customer data. Traditional data platforms create lock-in by owning the data Platforms have more comprehensive problem solving objectives than individual products and are more extensible in a variety of dimensions (see this more detailed description by Blaise Hale). ![]() We use the term “platform” to represent an architecture comprising multiple products and tools that work in combination. Open storage managers, such as Tabular and its use of Iceberg, in combination with other tools and products, have the potential to revolutionize the architecture and business models of existing data platforms. TL DR The evolution of open storage management and its impact on modern data platformsįigure 1: The five modern data platforms and the products that comprise their systems along with some examples of contributors to the sixth data platform. (*Amazon Web Services and emerging modular platforms are today largely bespoke products and tools that have the potential to become platforms.) Introduction His is a co-founder and the chief executive of Tabular Technologies Inc., a universal open table store that connects to any compute layer, built by the creators of Iceberg. Ryan is the co-creator and PMC chair of Apache Iceberg. In this Breaking Analysis, we explore that premise and welcome Ryan Blue to this, our 201st episode. Rather than requiring thousands of engineers to build this system, we’ve said this capability will come in the form of commercial off-the-shelf software. In this model, various data elements, such as people, places and things, are ingested, made coherent and combined to take action in real time. In our previous research we’ve used the metaphor “ Uber for everyone” to describe this vision, meaning software-based systems that enable a digital representation of a business. We refer to this as a sixth data platform. ![]() In the next three to five years, we believe a set of intelligent data apps will emerge requiring a new type of modern data platform to support them. ![]()
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