Changelog

What's new, what changed, and what got rebuilt.

April 2026
Removed site-wide subscribe / “get notified” UI
Dropped the EmailOctopus-backed subscribe script and floating launcher from all HTML pages, and tightened Content-Security-Policy entries that existed only for that integration.
March 2026
Atlas Health Check — 93-Point Checklist
A comprehensive 93-point health check across 13 sections: cluster configuration, replication, storage, memory, connections, indexing, query performance, security, backups, alerts, sharding, schema design, and networking. Includes an interactive checklist tool with status tracking, owner assignment, and CSV export.
Interactive Checklist → Full Reference Guide →
MCP Server Demo integrated into Agentic Memory
Integrated the full MongoDB MCP Server interactive demo into the Agentic Memory page. New section includes MCP overview, architecture diagram, a 4-scenario lifecycle simulation (Perceive → Retrieve → Reason → Act → Store with loopback), and a quick setup guide for Claude Desktop, VS Code, Cursor, and Windsurf.
MCP Server Section →
Email Collection & Changelog
Subscribe-for-updates popup (EmailOctopus) on the home page and content pages for new releases.
changelog.html → home.html →
Migration Toolkit
Comprehensive comparison of 5 MongoDB migration tools — mongodump, mongosync, Atlas Live Migration, mongomirror, and AWS DMS. Covers internal mechanisms (oplog vs change streams), platform support, version compatibility, host resource requirements, resilience/recovery, pros/cons, caveats, decision flowchart, and references.
migrations.html →
Competitive Intelligence — Deep Technical Refresh
Major content update across all competitive pages. Added internal engine architecture diagrams for Elasticsearch, Pinecone, Qdrant, CockroachDB, ScyllaDB, PostgreSQL, and DynamoDB. New high-level radar charts, search-specific scaling analysis, and expanded documentation references.
Specialty Stores → Transactional DB → Oracle vs MongoDB → Cosmos DB & DocumentDB →
Security — Defense in Depth
Five-layer security model covering network isolation, authentication, authorization, encryption, and auditing. Interactive architecture, code examples, compliance certifications (SOC 2, HIPAA, PCI DSS, FedRAMP), and shared responsibility model.
Security →
Agentic Memory on MongoDB
Interactive guide to agent memory types (Short Term, Long Term, Procedural, Taxonomic) mapped to MongoDB Atlas features. Agent lifecycle visualization, framework integration code for LangChain, CrewAI, LlamaIndex, and more. Includes MCP Server and Voyage AI embeddings.
Agentic Memory →
Pre-March 2026 — Existing Pages
MongoDB Atlas — Developer Data Platform
Fully managed, multi-cloud developer data platform. Automates operations and simplifies building modern applications at any scale. Executive and developer views.
Executive View → Developer View →
How to Choose a Database?
Interactive decision framework to help teams evaluate and choose the right database technology — walks through workload characteristics, scalability needs, and consistency requirements.
Decision Matrix →
Enterprise Advanced Architecture
Deep dive into Ops Manager, backup & recovery, encryption, monitoring, HA architecture, and deployment models (Kubernetes vs bare metal).
Architecture →
Running MongoDB at Scale
How MongoDB handles massive workloads with horizontal scaling, sharding, and high availability. Covers shard key selection, balancer, chunk migration, and topology design.
MongoDB at Scale →
High Availability Demo
Interactive demonstration of MongoDB's replica set failover, elections, and multi-region high availability.
HA Demo →
Multi-Tenancy Strategies
Architectural patterns for building multi-tenant SaaS applications — database-per-tenant, collection-per-tenant, shared collections with tenant isolation.
Multi-Tenancy →
CRUD Operations
Master MongoDB's API for creating, reading, updating, and deleting documents — insertOne, find, updateMany, bulkWrite, and more.
CRUD →
Aggregation Pipeline
Visualize and understand MongoDB's aggregation framework — $match, $group, $lookup, $unwind, $facet, and data transformation stages.
Aggregations →
State of AI with MongoDB
How Atlas Search and vector search power intelligent AI agents, RAG pipelines, semantic search, and generative AI applications.
AI + MongoDB →
Time Series Collections
MongoDB's optimized time series collections for IoT, metrics, and event data workloads — bucketing, TTL expiration, and granularity settings.
Time Series →
Elasticsearch vs MongoDB
Competitive intelligence briefing — Elastic ecosystem, search feature parity, vector search head-to-head, and where MongoDB has the right to win.
Elastic vs Mongo →
Cosmos DB & DocumentDB
MongoDB Atlas vs Azure Cosmos DB (vCore & RU) and Amazon DocumentDB — architecture, compatibility gaps, wire protocol limitations, and real-world limitations.
Cosmos DB →
Specialty Data Stores
MongoDB Atlas Search vs Elasticsearch, Pinecone, and Qdrant — internal architecture comparisons, vector search, scaling, and positioning.
Specialty Stores →
Oracle to MongoDB
Developer deep dive into migrating from Oracle — architecture comparison, data modeling, transactions, scaling, and automation strategies.
Oracle vs Mongo →
Transactional Database Comparison
Multi-document ACID transactions compared with CockroachDB, ScyllaDB, PostgreSQL, and DynamoDB — architecture diagrams, radar charts, and scaling tiers.
Transactional DB →