Conceptual Framework for Storage Unification: Virtualizing Heterogeneous Data Systems
By
avinassh
Summary
This article presents a conceptual framework for storage unification, which involves virtualizing heterogeneous storage systems (object storage and low-latency systems) into a single logical view. The author discusses how this unification enables stitching real-time and historical data together, with examples from tiered storage in event streaming systems, HTAP databases, and real-time analytics databases. The article outlines seven key considerations for evaluating design approaches and serves as groundwork for future discussions about real-world storage unification implementations.
Key quotes
· 4 pulledStorage unification is about presenting these heterogeneous storage systems and formats as one coherent resource.
The primary use case for this unification is stitching real-time and historical data together under one abstraction.
Not one storage system and storage format to rule them all, but virtualizing them into a single logical view.
The next frontier in this unification are lakehouses, where real-time data is combined with historical lakehouse data.
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