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SurrealDB vs Redis Cloud

A detailed comparison to help you choose between SurrealDB and Redis Cloud.

Quick Verdict

3.6/5

SurrealDB

0 reviews

3.6/5

Redis Cloud

0 reviews

Both SurrealDB and Redis Cloud are equally rated at 3.6/5. SurrealDB is a multi-model database that handles relational, document, graph, and full-text queries in a single database. Schema-optional, built-in auth, and real-time subscriptions. Redis Cloud is the official managed Redis service from Redis Ltd, the creators of Redis. Offers Redis Stack with JSON, search, and time series. Multi-cloud on AWS, GCP, Azure.

SurrealDB

SurrealDB

Multi-model database with built-in real-time sync and WebSocket support

Redis Cloud

Redis Cloud

Managed Redis from the original creators

Overview
Rating3.6 (0 reviews)3.6 (0 reviews)
Pricing modelfreemiumfreemium
Starting priceFree tier availableFree tier available
Best forTeams building real-time, multi-model applications that would otherwise combine a document database, a search engine and a graph storeTeams running business-critical caching, session, real-time or vector workloads who want the Redis engine operated by its creators, with backups and SLAs included on paid plans.
Specifications (entry plan)
CPU cores0 vCPU—
RAM1 GB—
Storage1 GB—
Bandwidth——
SLA uptime—99.99%
Data-center count3—
€/GB RAM/mo€0.00—
Features
IPv6
DDoS protection
Automated backups
Snapshots
Managed option
Bare metal
GPU available
S3-compatible
Hourly billing
Free tier
Data-center locations
Regions
AWS Ireland (aws-euw1), AWS US East N. Virginia (aws-use1), AWS US West Oregon (aws-usw2)
—
Tags
Tags
free tieropen sourceself hostableapi access
free tiermanaged optionbackups includedeu datacenterus datacenterapac datacenterapi access
Visit SurrealDB →Visit Redis Cloud →

SurrealDB

Pros

  • + One engine for relational, document, graph, time-series and geospatial data, plus full-text and vector search
  • + Transparent published rate table with a real free instance (0.25 vCPU, 1 GB memory, 1 GB storage)
  • + Hourly billing keeps development and prototype instances cheap
  • + Granular permissions at table, document and field level defined in the schema
  • + Self-hostable under BSL 1.1 with open-source (Apache 2.0 / MIT) SDKs as an exit path

Cons

  • - Young database: 1.0 in 2023 and the storage engine is still being replaced
  • - Only three AWS regions (Ireland, N. Virginia, Oregon) — nothing in APAC
  • - Smaller ecosystem, tooling and hiring pool than PostgreSQL or MongoDB
  • - Scale plan requires a three-node minimum; several advertised features are still marked coming soon
  • - Custom SLAs only at Enterprise tier; backup retention policy for free instances is ambiguous in the docs
View full SurrealDBreview →

Redis Cloud

Pros

  • + Managed by the stewards of upstream Redis, running the same engine (Redis 8) rather than a fork
  • + Real free tier for learning and a low $5/month Essentials entry with published per-hour math
  • + Paid plans include scheduled backups (daily on Essentials, hourly-capable on Pro) to your own S3/GCS/Azure/FTP
  • + Broad footprint: AWS, Google Cloud and Azure regions across multiple continents, private connectivity on Pro
  • + Redis 8 turns the cache into a document, search, vector and time-series engine in one binary

Cons

  • - Costs compound fast at production scale — in-memory data plus HA plus multi-region is expensive
  • - Free plan is tiny (30 MB, 100 ops/sec, no replication, no backups) and Essentials caps throughput per tier
  • - Essentials database size includes replication — HA halves usable capacity
  • - Published storage ceilings conflict between pages (12 GB vs 100 GB for Essentials)
  • - Licensing history (2024 source-available switch) requires reading the license matrix for embedded use
View full Redis Cloudreview →

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