Heroku vs Neon DB

Heroku Postgres and Neon represent two distinct philosophies regarding database infrastructure. Heroku operates on a vertical scaling model that mirrors traditional enterprise hardware, offering a massive range from $5.00/mo for entry-level projects to $1500.00/mo for high-availability production clusters with 126 GB of RAM and 2000 GB of storage. Neon approaches the market as a serverless Postgres option, capping out at $69.00/mo for 16 GB of RAM and 50 GB of storage. While Heroku provides up to 16 vCPU cores for heavy transactional throughput, Neon relies on a more constrained 2 vCPU limit, prioritizing burstable compute over sustained heavy lifting.

• Neon charges a premium for storage growth beyond the base plan at $0.35/GB, which is significantly more aggressive than the fixed-tier pricing model used by Heroku.
• Heroku includes substantial disk allotments up to 2000 GB, whereas Neon users must manage a tight 50 GB limit, making Neon unsuitable for large-scale data warehousing.
• Neon applies an egress fee of $0.10/GB for data leaving the database, a cost vector that is generally bundled or ignored in Heroku's higher-tier monthly subscriptions.
• Memory scaling on Heroku allows for massive heap sizes up to 126 GB, while Neon restricts users to a maximum of 16 GB, limiting the cache effectiveness for large indexes.

Heroku remains the standard for legacy applications requiring massive vertical resources and high-performance NVMe-backed storage volumes that do not fluctuate in availability. Neon is optimized for smaller, ephemeral projects where the ability to branch databases and scale to zero provides actual utility. The choice between these two platforms typically hinges on whether your workload requires the raw, sustained power of a dedicated instance or the flexible, cost-optimized nature of a serverless architecture.