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#real-time-analytics

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Article0 replies4,085 followingPosted 01 Jun 2026, 21:02 UTC103.8K views4,497 votes

Build a Real‑Time Materialized View in Vitess with VReplication

Learn how to stream changes from a source table to a target table in Vitess, turning it into a live materialized view for analytics without touching the primary workload.

Community & Careers · Blog

Tasadduq Burneyowner

Started01 Jun 2026, 21:02 UTC

Level 37Owner32,775 rep points

Community & Careers

Article0 replies4,032 followingPosted 21 Apr 2026, 01:13 UTC98.6K views3,768 votes

Turning Redis Streams into a Fault‑Tolerant Ingestion Engine for Real‑Time Analytics

Learn how Redis Streams and consumer groups can turn a simple key‑value store into a scalable, fault‑tolerant ingestion pipeline for real‑time analytics. See a concrete example, key trade‑offs, and actionable steps to get started.

Community & Careers · Blog

consumer-groups fault-tolerance

redis

Community & Careers

Article1 reply1 comment3,492 followingPosted 28 Apr 2026, 05:43 UTC21.7K views4,410 votes

owner commented

Implementing ClickHouse Materialized Views with Refresh Policies for Real‑Time Analytics

Learn how to create, schedule, and monitor ClickHouse materialized views with refresh policies, ensuring up‑to‑date aggregates for dashboards while avoiding common pitfalls.

Community & Careers · Guide

refresh-policies

clickhouse real-time-analytics