Updated for 2026

RedisvsMongoDB

Not sure which fits your workflow in 2026? Compare pricing, features, and trade-offs — then switch tools below to explore more options in this category.

Category
Tool A
Tool B

dev-database

Redis

Redis is the default in-memory data platform for caching, sessions, pub/sub, and low-latency application state.

Visit Redis

dev-database

MongoDB

MongoDB is a document-oriented database that stores BSON/JSON-like documents — strong for flexible schemas, change streams, and sharded clusters (self-host or Atlas).

Visit MongoDB

Basics

FeatureRedisMongoDB
Released20092016
CompanyRedis Ltd.MongoDB, Inc.
CountryUnited StatesUnited States
Region / AvailabilitySelf-host / multi-cloudSelf-host / multi-cloud

Pricing comparison

PlanRedisMongoDB
Modelopen-sourcefreemium
Free tierYesYes
Starts at$0/mo$0/mo
Plan 1Open Source / CE: FreeFree: FreeLimited to 512MB storage, primarily for learning purposes.
Plan 2Redis Cloud: Usage-basedFlex: $30/moFor application development and testing, with on-demand burst capacity for unpredictable traffic. Limited to 5GB storeage.
Plan 3Dedicated: Starts at $57/moFor production applications with complex workloads. 10GB to 4TB storage, dedicated memory and CPU.

Feature checklist

FeatureRedisMongoDB
Open Sourcehttps://github.com/redis/redishttps://github.com/mongodb/mongo
Self-host Option
ACIDAtomic commands; MULTI/EXEC is not full RDBMS ACIDDocument atomicity; multi-document ACID transactions (4.0+)
Index SupportSecondary indexes via Redis Query / RediSearch; sorted setsSingle, compound, text, geospatial, wildcard, and vector indexes
ConcurrencyVery high ops/sec; single-threaded command execution per shardHigh concurrency for document workloads with wiredTiger locking
ScalabilityCluster mode sharding + replicasNative horizontal sharding and replica sets
SQL Support
Postgres Compatible
Serverless Database
Vector Search
Realtime
Built-in Auth
Blob / File Storage
Edge Compatible
AI SQL / NL Query
AI Schema Assist
AI Agent / MCP
Team Collaboration
Use CaseIn-memory cache, sessions, queues, pub/sub, and real-time structuresFlexible document storage for product catalogs, content, and event-driven apps

Pros & cons

Redis

  • Extremely fast in-memory performance
  • Versatile data structures for caching and queues
  • Wide client and cloud hosting ecosystem
  • Not a primary relational system of record
  • Memory cost and persistence trade-offs
  • Licensing / product naming has evolved

MongoDB

  • Document model flexibility
  • Strong Atlas developer tooling
  • Vector search and multi-cloud options
  • Not relational SQL
  • Cost management needs care at scale
  • Auth/storage not as turnkey as BaaS suites

Dimension scores

Editorial 0–10 scores across shared dimensions — higher is better for that axis.

DimensionRedisMongoDB
Capability
8.8
8.5
Privacy
8.5
6.0
Value
9.0
7.0
Depth
8.0
8.5
Ecosystem
9.5
9.0
DX
8.5
7.5
CapabilityPrivacyValueDepthEcosystemDX
  • Redis
  • MongoDB

FAQ

Is Redis better than MongoDB?

It depends on workflow. Redis emphasizes in-memory data store used for caching, queues, sessions, and real-time structures. MongoDB emphasizes document database for flexible json-like data, rich indexing, and horizontal scale. Use the feature checklist above for your stack.

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Disclaimer:Not Financial or Investment Advice, Educational/Dev Tool Comparison Only. Information may change; always verify pricing on the vendor site before purchasing.