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Stop performing expensive client-side joins in Firestore. Learn how to use the Fan-out pattern and Cloud Functions to optimize read performance through strategic denormalization.
Mango lets you query CouchDB with JSON selectors instead of JavaScript map functions. Learn how indexes are created, how to verify they are used, and the write and disk trade-offs to plan for.
An architecture note on DynamoDB single-table design: enumerate access patterns, enforce invariants with conditional writes, and know when to split the table.
Denormalized Cosmos DB models often require two documents to change together. TransactionalBatch gives you atomic, all-or-nothing writes within one logical partition — here's how it works, a .NET example, and where it falls down.
Your Cosmos DB partition key is chosen once and paid for forever. Here's how logical partitions, the 20 GB cap, and cross-partition fan-out should drive the decision — and how to validate it with measured RU charges.
DynamoDB pages Query results by the 1 MB read cap, not your Limit. Here's how LastEvaluatedKey actually works, why FilterExpression can return empty pages, and a loop that doesn't drop records.
Stop fighting the lack of JOINs in Firestore. Learn when to duplicate data via denormalization to reduce latency and costs, and how to handle the resulting update complexity.
Learn how to implement relational-style data integrity in FaunaDB using Refs and Unique Indexes to avoid orphaned records in a distributed environment.
Learn how MongoDB TTL indexes automatically remove stale data after a configurable time‑to‑live, with a step‑by‑step example, limitations, and verification tips.
dynamodb
azure
faunadb
mongodb