Who should choose PostgreSQL?

Teams that want open-source relational database

Who should choose Redis?

Teams that want in-memory data store

Software comparison - Databases

PostgreSQL vs Redis: 2026 Comparison

PostgreSQL and Redis solve different problems and are often used together, not as either/or. PostgreSQL is your authoritative relational store (ACID transactions, complex queries, durability); Redis is your fast cache/session layer (in-memory, sub-millisecond latency, pub/sub). Your architecture often needs both: PostgreSQL as source of truth, Redis as performance multiplier. [compare](/compare) for your specific use case.

Comparison dimensions

Dimension	PostgreSQL	Redis	Winner
Features	9/10PostgreSQL features: window functions, JSON/JSONB columns, full-text search, PostGIS for geospatial, native partitioning, row-level security. No proprietary lock-in.	9/10Redis features: strings, hashes, lists, sets, sorted sets, streams, pub/sub, transactions, Lua scripting. In-memory means data loss on restart unless persistence is configured.	Tie
Pricing	9/10PostgreSQL cost: free, open-source. Managed (AWS RDS) starts ~$30/mo. Cost scales with compute/storage; predictable for regulated workloads.	8/10Redis cost: free, open-source. Managed (AWS ElastiCache) starts ~$16/mo; pricing scales with node count and reservation. Cluster mode adds licensing complexity.	PostgreSQL
Ease of Use	9/10PostgreSQL ease: SQL is familiar to most developers. Schema design takes discipline; migration tooling (Alembic, Flyway) matures with age.	9/10Redis ease: command surface is small and well-documented. Danger is misusing Redis as a primary store and losing data on failover.	Tie
Integrations	7/10PostgreSQL integrations: every BI tool (Tableau, Looker), every ORM (SQLAlchemy, Django ORM, Sequelize), every analytics platform (Redshift, BigQuery) reads Postgres natively.	9/10Redis integrations: every cache library targets Redis (django-redis, redis-py, ioredis). Session stores (Flask, Express) use Redis. Real-time apps (Socket.io) depend on Redis.	Redis
Support	8/10PostgreSQL support: vibrant open-source community, commercial support from EDB. Docs are encyclopedic. Community Slack channels are active 24/7.	9/10Redis support: open-source community active; Redis.com (formerly Redis Labs) offers enterprise support. Stack Overflow highly indexed. Industry standard for cache layer.	Redis
Scalability	9/10PostgreSQL scalability: vertical (bigger server), read replicas for scale-out reads, partitioning for very large tables (100GB+). Horizontal sharding is manual.	8/10Redis scalability: vertical (bigger node), or cluster mode for horizontal scale. Sentinel handles failover; cluster mode handles keyspace sharding but trades simplicity for scale.	PostgreSQL

Features

PostgreSQL: PostgreSQL features: window functions, JSON/JSONB columns, full-text search, PostGIS for geospatial, native partitioning, row-level security. No proprietary lock-in.

Redis: Redis features: strings, hashes, lists, sets, sorted sets, streams, pub/sub, transactions, Lua scripting. In-memory means data loss on restart unless persistence is configured.

Pricing

PostgreSQL: PostgreSQL cost: free, open-source. Managed (AWS RDS) starts ~$30/mo. Cost scales with compute/storage; predictable for regulated workloads.

Redis: Redis cost: free, open-source. Managed (AWS ElastiCache) starts ~$16/mo; pricing scales with node count and reservation. Cluster mode adds licensing complexity.

Ease of Use

PostgreSQL: PostgreSQL ease: SQL is familiar to most developers. Schema design takes discipline; migration tooling (Alembic, Flyway) matures with age.

Redis: Redis ease: command surface is small and well-documented. Danger is misusing Redis as a primary store and losing data on failover.

Integrations

PostgreSQL: PostgreSQL integrations: every BI tool (Tableau, Looker), every ORM (SQLAlchemy, Django ORM, Sequelize), every analytics platform (Redshift, BigQuery) reads Postgres natively.

Redis: Redis integrations: every cache library targets Redis (django-redis, redis-py, ioredis). Session stores (Flask, Express) use Redis. Real-time apps (Socket.io) depend on Redis.

Support

PostgreSQL: PostgreSQL support: vibrant open-source community, commercial support from EDB. Docs are encyclopedic. Community Slack channels are active 24/7.

Redis: Redis support: open-source community active; Redis.com (formerly Redis Labs) offers enterprise support. Stack Overflow highly indexed. Industry standard for cache layer.

Scalability

PostgreSQL: PostgreSQL scalability: vertical (bigger server), read replicas for scale-out reads, partitioning for very large tables (100GB+). Horizontal sharding is manual.

Redis: Redis scalability: vertical (bigger node), or cluster mode for horizontal scale. Sentinel handles failover; cluster mode handles keyspace sharding but trades simplicity for scale.

Best for PostgreSQL

Teams that want open-source relational database
Users prioritizing scalability
Budget-conscious teams

Best for Redis

Teams that want in-memory data store
Users prioritizing support
Budget-conscious teams

Decision notes

Use PostgreSQL as your primary database if you need complex schemas, multi-table joins, ACID guarantees or regulatory compliance (audit trails). Layer Redis in front for session caching, real-time leaderboards or pub/sub. Most production apps run PostgreSQL + Redis together.

Export/import support between PostgreSQL and Redis
Team onboarding and learning curve
Pricing at your seat count
Integration coverage for your stack

Frequently asked questions

More research

Keep comparing before you commit

All comparisons Browse alternatives