SurrealDBvsCockroachDB
- ✦ Multi-Model (Document + Graph + Relational)
- ✦ SurrealQL (SQL-like Query Language)
- ✦ Real-Time Live Queries
- ✦ Distributed SQL
- ✦ PostgreSQL Wire Protocol
- ✦ Multi-Region Replication
Real-World Scenarios: When to Choose Which
The question that matters: “In what situation will I regret choosing A over B after 3 months?”
CockroachDB's geo-partitioning pins rows to specific cloud regions by key prefix, ensuring GDPR-regulated customer data never leaves EU nodes without sacrificing SQL query capability.
CockroachDB's multi-zone deployment survives the loss of an entire availability zone automatically, with zero data loss and sub-30-second recovery versus minutes of manual failover for traditional primary/replica setups.
CockroachDB's online schema changes apply column additions and index builds while the database serves traffic, avoiding the maintenance windows that single-node SQL databases require for schema changes.
Pricing Intelligence
SurrealDB Plans
Free tier available
- • Full features
- • Business Source License
- • Community support
- • Managed service
- • Beta preview
- • Cloud-native
CockroachDB Plans
Free tier available
- • 10 GiB storage
- • Shared cluster
- • PostgreSQL compatible
- • $0.20/hr
- • Dedicated cluster
- • Multi-region support
- • Custom deployment
- • SLA
- • HIPAA/FedRAMP
Feature Matrix
6 differences found across 10 standardized features
Pros & Cons Face-Off
Evaluative strengths and weaknesses — not feature lists
- +Multi-model flexibility — document, graph, and relational in one
- +Built-in auth eliminates separate auth layer for simple apps
- +Real-time live queries via WebSocket
- +Strong developer community enthusiasm
- −Managed cloud still in preview — not production-ready
- −Business Source License limits some use cases
- +PostgreSQL compatibility minimizes migration effort
- +Survives node and zone failures automatically
- +Global multi-region with low-latency reads via follower reads
- +Free tier for development and small workloads
- −More expensive than single-node PostgreSQL for simple use cases
- −Distributed transaction overhead vs single-node performance