Keywords: Transactions, Real-time order, HTAP, OLDA
TL;DR: In this paper, we design SnapKV, a key-value store that supports heterogeneous workloads without sacrificing real-time order.
Abstract: Modern businesses increasingly require fast and accurate real-time decisions over concurrently modified data. The existing literature lacks a unified data repository supporting heterogeneous workloads (transactional, analytics, and machine learning inference). Prior work made significant trade-offs between freshness, performance, consistency, and generality. In this paper, we design SnapKV, a key-value store that supports heterogeneous workloads without sacrificing real-time order.
Area: Active Storage
Type: Solution
Revision: No
Submission Number: 1
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