Prisma Postgres VS ViewForge

Prisma Postgres's answer

Prisma Postgres is serverless PostgreSQL that provisions in under a second, scales to zero with no idle billing, and has zero cold starts. It is built to run many databases at once: 50 on the free tier and up to 1,000 on paid tiers, ideal for a database per branch, preview, or AI agent run. It can be colocated with Prisma Compute so your application logic runs on the same machine as the database for microsecond latency. Being standard Postgres, it has no lock-in and integrates natively with Prisma ORM.

ViewForge's answer:

Three things. (1) Data ownership: ViewForge writes fitment as Shopify metaobjects native to your store — most competitors store fitment in their own database. (2) 8 verticals out of the box: auto, motorcycle, tractor, marine, power equipment, bicycle, printer, electronics — most competitors are automotive-only. (3) Smart Parse: extract fitment automatically from your existing product titles and descriptions instead of re-typing everything.

Prisma Postgres's answer

Prisma Postgres gives you serverless Postgres without the usual tradeoffs. It removes cold starts, so scaling to zero costs you nothing on the next request. Its free tier of 50 databases (and up to 1,000 on paid tiers) is far more generous than competitors that cap free plans at one or two. It can colocate with Prisma Compute for microsecond latency, which standalone Postgres hosts cannot match. And because it is real Postgres, there is no proprietary query layer and no lock-in, so you can move your data and schema out at any time.

ViewForge's answer:

Data ownership. Fitment lives in your Shopify metaobjects, so uninstalling does not take your compatibility data with it. Convermax, EasySearch and PartFinder all keep it in their own databases, and getting it back depends on their export tooling on the day you cancel.

Cost at the low end. The search widget, the compatibility table on the product page and the saved-vehicle garage are all on the free tier, up to 50 products, with no expiry. EasySearch puts the table and the garage behind its $75/month Premium plan. Convermax starts at $250/month.

Automotive and non-automotive coverage. Eight built-in templates, and fully custom templates from $19/month, for catalogs that do not decompose into Year/Make/Model at all.

Prisma Postgres's answer

Prisma Postgres is built for AI agents that generate and deploy applications. Sub-second provisioning, zero cold starts, and up to 1,000 databases let an agent spin up a fresh, isolated database for every generated app, preview, or run without cost or setup friction. It equally serves the developers and teams behind those agents, building web and backend apps in TypeScript and JavaScript on serverless and edge platforms, who want managed Postgres with no operational overhead.

ViewForge's answer:

Shopify merchants whose customers need to know whether a part fits before they will buy it — and who do not have an engineer on staff to build that themselves.

Concretely: auto and truck parts retailers, powersports and motorcycle dealers, tractor and agricultural parts sellers, marine and outboard suppliers, small-engine and power equipment stores, bicycle and e-bike component shops, printer supply merchants, and electronics accessory sellers.

Catalog sizes run from a few dozen products on the free tier up into the tens of thousands; it is running in production on a catalog of roughly 40,000 SKUs. The common thread is not the industry — it is that "does this fit my thing" is the question deciding the sale.

Prisma Postgres's answer

Prisma is the company behind Prisma ORM, one of the most widely used database toolkits in TypeScript and JavaScript. Prisma Postgres grew out of watching developers pair that ORM with databases that were slow to provision, costly at idle, and hurt by cold starts. It launched in early access in October 2024 and reached general availability in February 2025, bringing serverless Postgres with sub-second provisioning, zero cold starts, and native Prisma ORM integration, now built for the era of AI agents that create and deploy apps at scale.

ViewForge's answer:

ViewForge came out of agency work. Normal View was building for a parts retailer running roughly 12,000 SKUs who needed fitment search, and every app we evaluated stored the merchant's compatibility data in the vendor's own database.

That is a strange trade when you look at it directly. Fitment data is genuinely expensive to produce — it is weeks of work — and the merchant would not own the result. It would belong to whichever app happened to be installed that year.

Shopify metaobjects made a different answer possible: write fitment as native structured data inside the merchant's own store. The theme reads it, the Storefront API queries it, Admin GraphQL exports it, and it is still there after an uninstall. That decision is what the rest of the app is built around.

Everything else came from real catalogs rather than a roadmap. Eight verticals exist because a tractor catalog is not Year/Make/Model. Smart Parse exists because that retailer had already written fitment into 12,000 product titles, and nobody was ever going to retype them.

Prisma Postgres's answer

Prisma Postgres runs standard PostgreSQL on a unique architecture built with unikernels (lightweight, single-purpose VMs) on bare-metal infrastructure, with a global caching and connection-pooling layer built on Cloudflare's edge network. This is what enables sub-second provisioning, zero cold starts, and scale-to-zero. It integrates natively with Prisma ORM (TypeScript) and supports direct TCP connections for any Postgres client.

ViewForge's answer:

• TypeScript
• Shopify metaobjects, as the fitment data store
• Shopify theme app extensions for the storefront components: fitment search, saved-vehicle garage, compatibility table, product-page fit notice
• Shopify Storefront API, for querying fitment from the theme
• Shopify Admin GraphQL API, for writing and exporting fitment records
• NHTSA vehicle database, for VIN decoding
• ACES and PIES XML parsing, for automotive catalog import