Why developers leave MongoDB: schema-anxiety (you must enforce schema in app code), join performance ($lookup slower than relational), and pricing on dedicated tiers steeper than Postgres alternatives. The 2024+ Postgres ecosystem (pgvector, pg_search, JSONB performance) closed gaps that previously favored MongoDB.
Neon delivers Postgres with serverless economics. JSONB support handles document-shaped data when needed. pgvector available. For teams whose MongoDB use was always relational underneath the schema-less veneer, Neon is the cleaner path. Branching for preview environments is a primitive MongoDB doesn't match.
PlanetScale (MySQL via Vitess) for teams whose scale concerns made them choose MongoDB originally. Horizontal sharding via Vitess. Schema-change deploy requests. The MySQL data model is closer to relational than document, but the scale story is comparable to MongoDB Atlas at growth.
Supabase bundles Postgres + Auth + Storage + Realtime. For teams using MongoDB primarily for the BaaS aspects (Atlas Search, Atlas Realm) rather than the document model, Supabase is the structurally-cleaner alternative.
Redis is included for teams using MongoDB for caching/session-style use cases — the wrong tool for that job. Redis with TTLs and JSON support handles cache, sessions, queues better than MongoDB ever did. Different shape of data store; right tool for the right job.
Depends on data shape. Genuinely document-shaped data (CMS, catalogs, user profiles with variable fields): MongoDB is fine. Relational data forced into documents (most operational data): Postgres is structurally better. Most teams that migrated reported their data was actually relational underneath.
Postgres FTS is functional for basic full-text search. For advanced search (relevance tuning, multilingual, faceted) pair with Meilisearch, Typesense, or pgvector for semantic. Atlas Search consolidated this into one product; in Postgres-land you'll often run a separate search service.
CockroachDB is a serious distributed SQL option. We rank it separately. For teams whose MongoDB choice was scale-driven, CockroachDB or YugabyteDB or PlanetScale are the legitimate alternatives. For most teams, scale concerns were exaggerated and a single managed Postgres is enough.
