Top Tweets for #DistributedSQL
Modern core banking demands four non-negotiables: always-on availability, real-time decisioning, elastic cost efficiency, & native distribution. Classical architectures buckle under mobile-era transaction volumes. #DistributedSQL #Banking #OceanBase
Traditional apps wait for user input. AI agents retrieve, reason, call APIs, & act autonomously. Multiply by millions. The question shifts from handling traffic to supporting machine autonomy. #AgenticAI #DistributedSQL #OceanBase
Three approaches to write scaling: manual sharding, shared-storage scale-up, & transparent distributed SQL. Same three apps, radically different blast radius when a node fails. The full comparison: #OceanBase #DistributedSQL https://t.co/rhcCydUZY0
Tenant isolation is what makes elastic quotas safe: each tenant's CPU/memory/IOPS are hard-reserved, so one tenant's scale-up never starves its neighbors. Architecture walkthrough: #OceanBase #DistributedSQL https://t.co/AuUgfoF3IL
The old path to more CPU: bigger box → data migration → failover → app reconnect. The new path: edit a quota. That asymmetry is the whole design. Full breakdown: #OceanBase #DistributedSQL https://t.co/AuUgfoF3IL
The reframe: scaling isn't a physical operation — it's a quota edit. CPU, memory, & IOPS adjust by modifying a unit config, & the kernel handles the rest. How it works: #OceanBase #DistributedSQL https://t.co/AuUgfoF3IL
Semantic layers were built for human analysts running occasional queries. Agents query at machine scale, 24/7, w/o tolerance for ambiguity. Governance that was nice-to-have is now load-bearing. How it works: #OceanBase #DistributedSQL https://t.co/JogIgqxQdY
From distributed OLTP to an AI Lakebase: five architectural shifts, mapped bottom to top. If you're evaluating data infrastructure for production AI, this is the checklist. Architecture walkthrough: #OceanBase #AI #DistributedSQL https://t.co/w9rzRkX8pO
Unification is necessary but not sufficient. One engine for OLTP + analytics removes ETL, but production AI demands five more shifts past that. The gap between 'unified' & 'AI-ready': #OceanBase #DistributedSQL #OLTP https://t.co/w9rzRkX8pO
We're at AI Summit Barcelona, 22–23 September, Booth E4. Our very own Bernard Kavanagh is on stage 23 September at 13:40: "Breaking the Memory Wall: Durable Memory for AI Agents at Scale."
More details: https://t.co/TWR1S78QLs
#AIAgents #AIInfrastructure #DistributedSQL #TiDB
AI made code cheap to rewrite. It didn't make your data any cheaper to move.
Why the teams that win the AI era own their data layer and why open source is where that happens.
Terry Purcell (Field CTO, TiDB) → https://t.co/vvD27dVNU9
#TiDB #OpenSource #AgenticAI #DistributedSQL
📅 Tomorrow, EMEA: 234 databases. 6-person team. Zero service disruption.
How Plaid migrated from Amazon Aurora to TiDB — and what production looks like on the other side.
Jul 30 · Register 👇
https://t.co/OsgMNoZ6WA
#TiDB #Plaid #DatabaseMigration #DistributedSQL
📅 Tomorrow, EMEA: 234 databases. 6-person team. Zero service disruption.
How Plaid migrated from Amazon Aurora to TiDB — and what production looks like on the other side.
Jul 30 · Register 👇
https://t.co/OsgMNoZ6WA
#TiDB #Plaid #DatabaseMigration #DistributedSQL
Aurora's write ceiling isn't a tuning problem — it's architectural. One primary writer. No horizontal write scaling.
Full breakdown: https://t.co/ZMyKpdho40
#Aurora #DistributedSQL
Another vector DB. Another sync pipeline. Another failure point.
Mattias Jonsson at #TiDBSCaiLE EMEA 2026: what if your SQL database already spoke vectors natively?
Session replay → https://t.co/ulVoGAoABU
#TiDB #VectorSearch #AgenticAI #DistributedSQL
Atlassian's Forge platform: one schema per tenant, 3 million+ tables, one TiDB cluster.
The engineering story behind how that actually works 👇
https://t.co/sL7uCsLrdX
#TiDB #Atlassian #DistributedSQL #SaaS
Distributed SQL is a class of cloud-native, highly scalable, and resilient databases designed for today’s always-on, data-driven world.💪
Download the Distributed SQL Databases For Dummies (2nd Yugabyte Special Edition) eBook and explore how #distributedSQL can help you achieve ultra-resilience, simplify operations, accelerate innovation, and future-proof your next #GenAI applications.
Find out more and get your free copy today!⬇️
https://t.co/5z59LRqRnt
"Your database shouldn't be your single point of failure."
Meet Paresh Saraf, @CockroachDB at our #ixgdevops2026
🎟️https://t.co/G0ewxgTRTt
#ixgdevops2026 #PareshSaraf #CockroachLabs #DistributedSQL #CloudNative #DatabaseResiliency #DevOps2026
Your database shouldn’t be your single point of failure.
Meet @CockroachDB - Database Resiliency Partner at #ixgdevops2026
Join us: https://t.co/8UuDPWHVm4
#ixgdevopsseries #CockroachLabs #CockroachDB #DatabaseResiliency #DistributedSQL #CloudNative #DatabaseReliability
Most AI agents fail not due to models but data layers. Join Mattias Jonsson at #GitexEurope Berlin, 1 July, 10:40am, Hall 2.2.
#AgenticAI #DistributedSQL #TiDB #AIInfrastructure
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