Neon

PlanetScale vs Neon: Which is Better for Database Scaling? Quick Verdict For teams with a budget over $10,000 per month and requiring high scalability, PlanetScale is the better choice due to its horizontal scaling capabilities. However, for smaller teams or those with limited budgets, Neon’s vertical scaling approach may be more suitable. Ultimately, the choice between PlanetScale and Neon depends on the specific needs and constraints of your project. Feature Comparison Table Feature Category PlanetScale Neon Winner Pricing Model Custom pricing for enterprise, $1,500/month for standard $0.0055 per hour for compute, $0.10 per GB for storage PlanetScale (for large teams) Learning Curve Steep, requires expertise in Vitess and MySQL Moderate, supports PostgreSQL and easy integration Neon Integrations Supports major cloud providers, Kubernetes Supports major cloud providers, limited Kubernetes support PlanetScale Scalability Horizontal scaling, supports thousands of nodes Vertical scaling, limited to 32 vCPUs PlanetScale Support 24/7 support for enterprise, community support for standard Community support, paid support available PlanetScale Database Scaling Features Automatic sharding, connection pooling Connection pooling, query optimization PlanetScale When to Choose PlanetScale If you’re a 50-person SaaS company needing to handle over 10,000 concurrent connections, PlanetScale’s horizontal scaling capabilities make it the better choice. For teams with a large budget (over $10,000 per month) and requiring high scalability, PlanetScale’s custom pricing and 24/7 support make it a good fit. If you’re already invested in the Vitess ecosystem and have expertise in MySQL, PlanetScale’s compatibility and features make it a natural choice. For example, if you’re a large e-commerce platform handling millions of transactions per day, PlanetScale’s ability to scale horizontally and handle high traffic makes it a good choice. When to Choose Neon If you’re a small team (less than 10 people) with a limited budget (less than $1,000 per month), Neon’s pricing model and moderate learning curve make it a more accessible choice. For teams already using PostgreSQL, Neon’s support and easy integration make it a good fit. If you’re a startup with unpredictable traffic patterns, Neon’s vertical scaling approach and pay-as-you-go pricing model can help you scale up or down as needed. For example, if you’re a small blog with occasional traffic spikes, Neon’s ability to scale vertically and handle variable traffic makes it a good choice. Real-World Use Case: Database Scaling Let’s consider a real-world scenario where we need to scale a database to handle 100 concurrent users. With PlanetScale, setting up a horizontally scaled database would take around 2-3 days, including configuring Vitess and MySQL. Ongoing maintenance burden would be moderate, with regular checks on node health and performance. The cost breakdown for 100 users would be around $1,500 per month for the standard plan. Common gotchas include ensuring proper sharding and connection pooling. ...

How to Fix “Connection Timeout” in Neon (2026 Guide) The Short Answer To fix the “Connection Timeout” error in Neon, adjust the pool size settings to optimize database connections, reducing the timeout from 15 minutes to under 1 minute. Advanced users can directly update the neon.yaml file by setting pool_size: 50 and restarting the server. Why This Error Happens Reason 1: The most common cause of the “Connection Timeout” error is an inadequate pool size setting, which leads to a backlog of database connections, causing the server to timeout after 15 minutes. Reason 2: An edge case cause is when the serverless DB is handling a high volume of concurrent requests, exceeding the default pool size limit of 20 connections, resulting in a timeout. Impact: This error significantly affects serverless DB performance, leading to failed queries, delayed data processing, and potential data loss. Step-by-Step Solutions Method 1: The Quick Fix Go to Settings > Database > Connection Pooling Toggle Auto-Adjust Pool Size to Off Set the Pool Size to 50 (or a value suitable for your workload) Refresh the page to apply the changes. Method 2: The Command Line/Advanced Fix Update the neon.yaml file with the following configuration: ...

Does Neon Have Restore? (2026 Update) The Short Answer: Yes Neon offers point-in-time recovery, allowing users to restore their database to a specific point in the past, which is particularly useful for recovering from accidental data changes or deletions. This feature is made possible through Neon’s continuous backup system, which captures changes to the database in real-time, enabling precise recovery to any point within the retention period. How to Use Restore in Neon Navigate to the Neon dashboard and select the database you want to restore from the list of available databases. Click on the “Recovery” tab and choose the point-in-time recovery option, which will display a timeline of available restore points. Result: Select the desired restore point, and Neon will create a new database branch at that point in time, allowing you to access the restored data while keeping the original database intact. Workarounds (Not Necessary) Since Neon supports point-in-time recovery natively, there is no need for workarounds. However, for users looking to automate or customize their restore processes, Neon provides APIs and integrations with popular tools that can be leveraged to create custom restore workflows. ...

How to Connect Neon to Drizzle (2026 Guide) Why This Integration Matters The integration of Neon and Drizzle solves a significant problem in serverless database workflows by enabling connection pooling, which reduces the overhead of establishing and closing connections. This results in Time Saved: 5 hours/week for database administrators and developers. The Use Case: Serverless DB benefits from this integration as it allows for more efficient and scalable data management. ...