Feature | NeonNeon | |
---|---|---|
Infrastructure, Underlying technology Cloud Infrastructure, database system and underlying egine | Postgres, AWS, Azure | |
Serverless Support Serverless and Edge computing support | ||
API | HTTP and WebSocket connections @neondatabase/serverless package (optional) | |
Edge Functions Serverless functions that run closer to the user, reducing latency and improving performance. | Cloudflare Workers, Vercel Edge Functions, Netlify Edge Functions | |
Developer Experience | ||
Database type | OLTP | |
Data model Databases store data in models, such as Relational, Columnar or Document based | Relational, SQL | |
CLI Command Line Interface tools that allow developers to perform tasks and manage the tool via the command line. | neonctl | |
Languages, APIs The languages supporting the database and API interface for inter-process communication | All languages and ORMs supporting Postgres, Drizzle, Prisma, Node, Go, Java, Rust, PHP | |
Query language Supported query language such as SQL, MQL, PartiQL, | SQL, PostgreSQL | |
ACID compliant ACID is a set of properties of database transactions intended to guarantee data validity despite errors, power failures, and other mishaps | ACID compliant | |
Self-hosting Support for self-hosted Database instance | Open source | |
Backups | PITR and Daily backups available for all, scheduled backups available for paid plans | |
Security & Compliance Offerings | ||
SOC2 Service Organization Control 2 compliance for managing customer data. | ||
Multi-factor authentication Support of the cloud-histed database for multi-factor authentication | Coming soon | |
Encryption Cryptographic security at rest and on transportation level | AES Encryption at rest, TLS v1.3 | |
SSO | ||
Monitoring and analytics | ||
Log retention Query log retention usually keeps lofs of operations for debugging and replication purposes | Log export for paid plans | |
Statistics Tools and APIs for analysing and monitoring of Database performance | Web dashboard, export metrics for paid plans | |
Scalability | ||
Replication and Partitioning | Autoscaling Compute and Memory from zero to 16 CPU and Logical Replication |