Altinity

~10x cold read speedup vs AWS gp3. Database and workload on the same rack. $0 internal egress. ~70M rows/sec sustained from disk. That's #ClickHouse® on @nirvanalabsai, the new BYOC option for #AltinityCloud. Benchmarks & repos are public. 💪🏽 Learn more: hubs.la/Q04qTYZN0

Your enterprise customer says, “Run the database in our cloud.” Now what? 🫣 Next Thursday, Altinity CEO @dbcicero will break down #BYOC for databases with #ClickHouse®: when it fits & how to keep control of cost, data residency, & security. 📅 Nov. 5 🔗 hubs.la/Q04CBcwT0

⚠️ More #ClickHouse® data shouldn’t mean adding more compute. Tomorrow, Altinity CEO @dbcicero & CTO Alexander Zaitsev demo how #AntalyaBuilds make that possible, plus what’s new: OAuth & MCP, Databricks compatibility & CAS for shared #MergeTree storage. hubs.la/Q04Cj-2c0

An #AI agent dropped a production #ClickHouse® table. 🫠 It even changed a safety setting to do it. Nowadays, "don't touch production" isn't a security policy. We explore how scoped RBAC, read-only MCP access & agent sandboxing are the right guardrails: hubs.la/Q04Bwtlf0

⚡ Copy a statement. Run it. Copy the next one. Keep going. Or paste the whole script into the #AltinitySQLBrowser. It runs each #ClickHouse® statement in order, with its own result & timing, and stops on the first error. 🚀 Try the demo: hubs.la/Q04yqk4G0

Data is growing, but query load isn't? CAS (experimental in #AltinityAntalya 26.6) lets #ClickHouse® #MergeTree tables use shared object storage. 📦 Storage scales independently of compute 🔗 Nodes share identical files Cold-tier use for now. See how 👇 hubs.la/Q04zTkz80

🔥 Hot data in #ClickHouse® MergeTree. Colder data in #Iceberg. One query across both. On Oct. 27, Robert Hodges & Alexander Zaitsev will show how #AntalyaBuilds combines Hybrid tables, swarms, OAuth, CAS for shared MergeTree storage, & MCP. 🕗 8am PT 🍿 hubs.la/Q04zrh7b0

↹ Changed a #ClickHouse® table & now need to figure out what else depended on it? #AltinitySQLBrowser maps the connections for you. Drag a database/table from the schema tree into the results pane & it builds a data-flow graph showing #materializedviews. hubs.la/Q04yqddk0

Detached ≠ disposable. 😬 Before deleting #ClickHouse® detached parts, check the reason. Some are cleanup candidates, some are temporary, and some need investigation first. ⚠️ Full guide: kb.altinity.com/altinity-kb-…

Will #AI create an extinction event for open-source DB projects? 💀 Altinity CEO @dbcicero will explore what AI is changing at the database layer, incl. security, MCP connectivity, & what comes next for open source at #OSACON 2026. 📅 Nov 2 | 10 am PT 🗣️ hubs.ly/Q04yKnSG0

🌮 Tomorrow evening: tacos + #observability, MCPs, #AI, OTel, & ClickHouse® at Grafana & Friends. We’ll join talks & conversations around some current engineering problems: safer AI data access, MCP + k6, OTel on #K8s, & stateless #ClickHouse® ingestion. hubs.la/Q04yqYrW0

📣 Raw EXPLAIN text can be a lot to parse. The #AltinitySQLBrowser turns #ClickHouse® EXPLAIN PIPELINE output into an interactive processor graph, so parallelism and Resize points are easier to spot. Pan, zoom, or open it fullscreen. 💡 Full docs: hubs.la/Q04ypVrf0

Slow #ClickHouse® query? Start with the built-in tools. 💪🏽 ▪ query_log: resources + runtime ▪ processors_profile_log: time per stage ▪ query_metric_log: live stats ▪ EXPLAIN + the chdig CLI 💡 Get the full breakdown: hubs.la/Q04xYzy60

Scaling #ClickHouse® storage without scaling compute? Meet CAS. 💥 Content-Addressed Storage (#CAS) adds shared object storage to existing MergeTree model, so storage can scale independently without replacing #MergeTree with a new engine. CAS explained: hubs.la/Q04y7dTR0

0.65s vs. 1.42s on ~126M rows. Same #ClickHouse® table, same filter. The only change was the query’s ORDER BY. ⚡ If a query is sorting more than expected, check whether its ORDER BY matches the table’s: kb.altinity.com/engines/merg…

🎡 Hey Londoners, we'll be at the Data Engineering London #meetup tomorrow for an evening on Storage + #AI. Expect deep dives on Hot SSDs to #lakehouses, data movement, metadata performance, and more. 📍 London Art Bar | 6 pm 🍻 Food + drinks on us 🔗 hubs.la/Q04xY3Lt0

Your analytical database is columnar & your dataframe library is too. But the path between them often isn't. That can mean extra copies & transposes to move query results. 😓 See how #ApacheArrow & #ADBC can eliminate that in this Unevenly Distributed ep: hubs.la/Q04xRPlG0