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#mongodb

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5 articles

MongoDB Aggregation Pipeline: Optimization and Performance

MongoDB Aggregation: From Query to Performance The Aggregation Framework is MongoDB's powerful data processing engine. It allows you to transform, filter, and group data using a series of stages. However, a poorly optimi…

Apr 20, 20262 min read

Deep Dive

#mongodb#databases#performance

DatabasesIntermediate

MongoDB Anti-Patterns: From Unbounded Arrays to Shard Imbalance

MongoDB Anti-Patterns: Building Scalable Document Stores MongoDB's flexibility is its greatest strength, but it's also a trap for those coming from relational backgrounds. Here are the most critical "gotchas" and anti-pa…

Apr 20, 20263 min read

Deep Dive

#mongodb#databases#performance

DatabasesAdvanced

MongoDB Internals: Deep Dive into WiredTiger and Replication

MongoDB Internals: Under the Hood MongoDB has evolved from a simple JSON-like store into a sophisticated distributed database. Most of its power comes from its default storage engine, WiredTiger, and its robust replicati…

Apr 20, 20262 min read

Deep Dive

#mongodb#databases#wiredtiger

DatabasesAdvanced

Vector Search in NoSQL: Redis and MongoDB as Vector Databases

Vector Search in NoSQL: The AI Evolution With the rise of Large Language Models (LLMs), Vector Search has become a critical requirement for Retrieval-Augmented Generation (RAG). While specialized databases like Pinecone…

Apr 20, 20262 min read

Deep Dive

#redis#mongodb#vector-search

DatabasesAdvanced

PostgreSQL vs MongoDB vs DynamoDB: When to Use Which Database

Every database choice is a bet on your access patterns. PostgreSQL, MongoDB, and DynamoDB are all excellent databases — for different problems. The mistake engineers make is choosing based on hype ("NoSQL scales better")…

Jan 12, 202511 min read

Comparison

#postgresql#mongodb#dynamodb