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Stop writing MapReduce views for every simple query. Learn how to use CouchDB Mango to perform declarative JSON queries with better agility and performance.
Stop using Scan operations for non-primary key lookups. Learn how to implement Global Secondary Indexes (GSIs) in DynamoDB to enable efficient queries while managing projection costs and eventual consistency.
Persist JSON documents in Deta Base from a Detaspace micro, with worked SDK example, limits, and verification steps.
Full-document get and replace operations waste bandwidth and amplify CAS contention when only a few fields change. Here is how lookupIn and mutateIn let you read and write individual JSON paths, with a user-profile example and the trade-offs to check before migrating.
Stop using ALLOW FILTERING. Learn how Cassandra Materialized Views allow you to re-index data for fast reads while shifting synchronization logic from your app to the database.
Stop fighting complex SQL JOINs. Learn how SurrealDB uses Record Links and Graph Relations to traverse data paths efficiently with a single query.
Learn how to implement serverless persistence using Deta Base in Detaspace, including key-value storage patterns, API implementation, and critical querying limitations.
Couchbase scopes and collections offer logical isolation inside a bucket, but memory, flush, and replicas stay bucket-wide. Learn how N1QL keyspaces, per-collection indexes, and RBAC paths work, and when to choose collections over separate buckets.
DynamoDB transactions let you atomically update or read across tables, but they double capacity usage and add latency. This guide explains the mechanics, shows a Node.js example, and weighs the trade‑offs so you can decide when to use them.
couchdb
dynamodb
couchbase
json
cassandra
aws