Neon Problems & Issues
Real user-reported problems, complaints, and limitations for Neon. Based on analysis of 10 signals.
Overall score: 68/100
Issues by Category
Multiple outages in 2025-2026 raise reliability concerns
Neon has experienced several outages. May 2025 saw two outages totaling 5.5 hours due to Kubernetes IP exhaustion. As of March 2026, there were 4 incidents in 90 days with median duration of 59 minutes. Gergely Orosz noted '3 outages in five days' which 'can kill a database-as-a-service.'
Regional availability gaps
Users note 'no India region' adding latency for users in that market. Limited regions compared to major cloud providers. Regional expansion depends on Databricks priorities post-acquisition.
Databricks acquisition creates uncertainty
Databricks acquired Neon in May 2025 for ~$1B. Users worry about 'future product direction and support' being uncertain. Some fear it 'may become an embedded feature in Databricks platform or disappear completely.' The acquisition adds strategic risk for long-term adoption.
Limited control over storage internals
Neon 'hides storage internals completely - limiting advanced control.' No on-prem or BYOC (Bring Your Own Cloud) options. Enterprise users needing 'data sovereignty, compliance, or performance tuning' in their own environment are left unsupported.
Cold starts affect user experience
Scale-to-zero means cold starts when databases wake up. Users report 'cold startup of about 700ms' on free tier. Direct connections show 'SSL connection has been closed unexpectedly' during reconnection. While improved from earlier versions, cold starts remain a concern for latency-sensitive apps.
Serverless driver slower than direct Postgres
Users report 'the serverless driver is noticeably slower than direct Postgres.' The websocket-based driver adds latency overhead. For performance-critical applications, the serverless approach may not be suitable.
Free tier cannot run 24/7 continuously
Free tier provides 100 CU-hours/month but 'you cannot run even a single free-tier project 24/7.' Always-on hobby projects aren't feasible. Running at minimum compute (0.25 CU) costs ~$20/month, 'steep for hobby projects' despite marketing targeting indie developers.
Branch and PITR storage costs add up
Extra branches cost $0.002/branch-hour beyond plan allowance. Point-in-time recovery history storage is billed at $0.20/GB-month separately from regular storage. These costs aren't immediately obvious when evaluating base pricing.
Database-only service requires additional tools
Unlike Supabase, Neon is pure database - 'you still need to wire up separate services for Auth and Storage.' Teams wanting full backend solution must integrate multiple services. This adds complexity compared to all-in-one alternatives.
Free tier limited to one database per project
G2 reviews note 'limited customization ability at free tier, with only one database allowed.' Connection pooling limits are per-project (10,000 shared across all clients). These limitations require careful planning or upgrading.
Regret Patterns
Common reasons users regret choosing Neon.
Production went down during critical period
Teams chose Neon for modern features but experienced outages at the worst times. Multiple incidents in 2025-2026 affected production apps. 'I doubt I'll ever use Neon again after they had our production database go down.' Reliability concerns override feature benefits.
Databricks acquisition changed the calculus
Teams invested in Neon's roadmap, then the Databricks acquisition added uncertainty. 'Future product direction and support uncertain' - some fear platform changes or deprecation. Strategic risk wasn't factored into original decision.
Free tier couldn't run hobby project 24/7
Developers attracted by marketing to indie developers discovered 100 CU-hours 'cannot run 24/7.' Had to upgrade to ~$20/month for always-on hobby project. Free tier is really for development, not production.
Needed auth and storage that Neon doesn't provide
Teams chose Neon expecting to add auth later, then realized the integration complexity. 'You still need to wire up separate services for Auth and Storage.' Should have started with Supabase for complete backend.
Cold starts hurt user experience
Scale-to-zero saved money but introduced latency. Users noticed ~700ms delays on first requests. Had to disable scale-to-zero (increasing costs) or accept degraded experience. The serverless trade-off wasn't anticipated.
Bills spiked with unexpected traffic
Usage-based pricing seemed economical until traffic spiked. Compute hours burned faster than expected. 'Some developers have gotten steep bills from Neon.' Should have set up budget alerts and monitoring earlier.
When Neon Breaks Down
Specific scenarios where Neon fails or underperforms.
Production app needs 99.99% uptime
Recent outage history (multiple incidents in 2025-2026) makes Neon unsuitable for mission-critical apps requiring extreme reliability. Scale plan offers 99.95% SLA, but track record raises questions. Teams requiring higher guarantees look to AWS RDS or Google Cloud SQL.
Project needs complete backend beyond database
Application requires authentication, file storage, and real-time subscriptions. Neon provides none of these - purely database. Integrating separate services (Auth0, S3, etc.) adds complexity. Supabase would provide all-in-one solution.
Enterprise compliance requires data sovereignty
Organization mandates on-premises or BYOC deployment for compliance. Neon is cloud-only with 'hidden storage internals.' No self-hosting option, no data sovereignty controls. Traditional managed PostgreSQL or self-hosted required.
Hobby project needs always-on free hosting
Side project or portfolio site needs 24/7 availability without monthly cost. Neon's 100 CU-hours free tier 'cannot run 24/7.' Must upgrade to paid (~$20/month) or find alternative. Railway or Render offer fixed-price options.
Latency-sensitive app hit by cold starts
Application requires sub-100ms database responses consistently. Scale-to-zero introduces ~700ms cold starts after inactivity. Must pay for always-on compute to avoid cold starts, negating serverless cost benefits.
Leadership questions vendor stability post-acquisition
Databricks acquisition triggers enterprise review of vendor stability. Unclear product roadmap, potential platform changes, or eventual sunsetting create strategic risk. Teams may be asked to migrate to more established providers.