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Learn how to design a Couchbase XDCR architecture for disaster recovery and regional read scaling, focusing on minimal cluster footprints, trust boundaries, and lag monitoring.
Learn how Google Cloud Spanner’s TrueTime uses GPS‑aided atomic clocks to represent time as an interval, enabling external consistency via the commit wait rule while avoiding a centralized timestamp oracle.
Learn how to use YugabyteDB follower reads to reduce geo-distributed read latency from 100ms+ to single-digit milliseconds by serving requests from local replicas.
Learn how DynamoDB Global Tables handle concurrent writes using Last Writer Wins (LWW) and how to implement versioning to prevent data loss in multi-region deployments.
Learn how to configure Aerospike Strong Consistency (SC) mode to eliminate stale reads and ensure linearizability for critical data during network partitions.
Materialized views let Cassandra auto‑replicate a table with a different primary key, speeding up read patterns that would otherwise require client‑side filtering. This blog walks through how they work, a concrete example, the trade‑offs, and a quick decision checklist.
Learn how to implement relational-style data integrity in FaunaDB using Refs and Unique Indexes to avoid orphaned records in a distributed environment.
LinkedIn switched from relational databases to Espresso, a distributed document store, to handle petabyte‑scale member data with sub‑10 ms read latency. This guide compares options, explains trade‑offs, and shows a concrete configuration example.
Learn how to enable Norg’s asynchronous replication, set a 3‑node factor, monitor lag, and recover from node outages with step‑by‑step commands and verification checks.
couchbase
google
yugabytedb
dynamodb
aerospike
cassandra
faunadb
linkedin
norg