Kostra's whole data layer was built using Prisma. However, prior to settling on that solution, we had run real-world migrations and write operations via Prisma and Drizzle on a single PostgreSQL database.
Here's what the benchmark revealed about the two ORMs, along with the developments since 2026 in each of them that may be helpful in making a decision which one to choose for your projects.
TL;DR if you're in a rush: Choose Prisma when a mature ecosystem, visual data browser, and SQL abstraction are what you need. Choose Drizzle when you prefer to stick closer to SQL, need a minimal bundle size, or deploy to the edge
Both solutions are production-ready. There's no wrong choice, just the one that fits your project more.
What Each ORM Actually Is
Prisma is schema-first. You design your data model in a .prisma file by using Prisma's schema language and after that run prisma generate to get a fully typed client for querying. Prisma Migrate will automatically migrate your schema changes into SQL migrations.
Drizzle is code-first. You create your tables natively in TypeScript using the query builder which is similar in structure to SQL. There's no separate schema file and no generation step. Change a table definition, save the file, and your types update immediately.
That single difference, schema file plus generation step versus TypeScript-native with none, is the root of almost every other difference between them.
Schema Design and Developer Experience
The Prisma schema looks almost like normal English. Type definitions, relationships, and constraints are all defined in one declarative code block. The Prisma VSCode plugin further provides features like autocomplete, quick fixes, and definition navigation above this. However, the problem is the generation process. Any changes to the field require a separate prisma generate command for the application to reflect those changes.
With Drizzle, the generation step is skipped entirely. You can work with your schema directly as a TypeScript module, and types will be updated instantly when you save your file. The catch is reversed as well: table definitions with Drizzle feel more like SQL-DDL than data modelling, which may suit some teams just fine but not others.
Performance and Bundle Size
Here was where the story changed in 2026. For years, the main problem was the Rust engine for Prisma's queries; it was a big, heavy binary that caused extra cold-start latency when deployed to serverless and edge systems. In contrast, Drizzle's lack of engine layer meant it was always faster and had a much smaller payload.
Prisma 7, which was launched at the end of 2025, had done away with its Rust engine and adopted a new implementation in TypeScript and WebAssembly. This meant smaller bundles and native edge runtime support was now available. Thus, the gap in cold start performance that made Drizzle such a clear winner was significantly reduced.
The gap never closed. Drizzle remains the smallest payload, with its bundles measuring in kilobytes compared to megabytes of Prisma bundles. Drizzle also has slightly better cold-start performance than Prisma in benchmarks up until 2026. However, for typical backend systems that run on a persistent server or container and not an edge system, database round-trip times completely overshadow the overheads of ORMs.
Migrations and Tooling
Prisma Migrate creates SQL migrations automatically out of changes to your schema, while Prisma Studio allows you to browse your data visually without any configuration. This tooling is superior compared to Drizzle's similar offerings, drizzle-kit generate and drizzle-kit migrate. While those are very powerful and easy to use, they sometimes require manual SQL migrations in case of changes that cannot be done automatically, such as renaming columns.
However, if migration tooling and database graphical user interface are important parts of your development workflow, then Prisma wins in 2026 in that regard. As long as you're okay with manually writing SQL migrations in case of generator inability, Drizzle should not hold you back.
Ecosystem, Maturity, and Community
Prisma comes with more history and a richer ecosystem - more answers on StackOverflow, more tutorials, more people who have hired someone who knows it. Prisma is the ORM that is included in SvelteKit and Remix in their official documentation, and it is the default suggestion for a fast onboarding of a new team member.
The adoption of Drizzle quickly accelerated during 2025 and 2026. Drizzle is currently used in production at companies like Replit, Sentry, and Figma; Astro created its own Astro DB based on Drizzle; and the Hono.js framework recommends it as a default ORM. By mid-2026, various reports noted that the weekly downloads of Drizzle from npm were getting closer to Prisma’s and even surpassed them in some reports, although each of the ORMs was counted under a different package name (drizzle-orm versus @prisma/client and prisma CLI). In any case, the general trend seems to be switching from Prisma to Drizzle rather than vice versa.
One important development to note: PlanetScale employed the core team behind Drizzle in 2026 to develop the ORM. While Drizzle itself is still open-source, it was an important decision regarding sustainability since it addressed the question of where the money for development would come from. Prisma, in turn, is a venture-backed company with a free ORM that helps people adopt other paid tools from their ecosystem such as Prisma Accelerate and Prisma Postgres.
Comparison Table
Which One Did We Pick for Kostra, and Why
Kostra is built on top of Prisma using PostgreSQL. There are three particular reasons why we chose it specifically for our boilerplate:
Prisma Migrate guarantees consistency in all projects based on the boilerplate concerning schema changes. Second, the schema itself is the quickest way for any new developer to grasp the whole data model at once. The fact is significant because Kostra is a boilerplate, meaning others will build upon it. Third, our layered architecture separates the ORM from the rest of the application through a repository pattern, It means that in case Kostra was going to provide an alternative driver such as Drizzle in some future release, there will be changes only in one layer.
The straightforward bargain: The benefits provided by the smaller package size and quicker warm-up time of Drizzle will be more significant when deploying Kostra for edge environments. It doesn't. Kostra ships with Docker and Docker Compose for running on their own and in containers, which becomes a valid choice for which the “cold start” factor is not much of an issue anymore. If your own product is built with the edge in mind, then the logic behind that may lead you to Drizzle even within the Prisma boilerplate code.
Kostra isn't the only Next.js SaaS boilerplate built this way. The official Vercel starter and the ixartz SaaS Boilerplate both ship with Drizzle instead, which is worth knowing if ORM choice is a hard requirement for your stack.
How to Choose: A Simple Framework
Pick Prisma if:
Your developers lack comfort using SQL and you need abstraction that helps write the correct query
You need Prisma Studio for visualization of your database without extra configuration steps
You are looking to hire people who are proficient with the ORM of choice
Your application runs in a persistent environment like server/container where there is no such thing as cold starts
Pick Drizzle if:
Your developers prefer working with SQL and you don’t want the ORM to get in their way
You deploy your app to an edge runtime like Vercel Edge Functions or Cloudflare Workers where bundle size matters
You don’t want any generation step in your development workflow
You are running your database on Neon, Turso or PlanetScale all of which provide excellent support for Drizzle driver
If none of that settles it, look at your database requirements against your actual stack before the ORM choice, not after. The ORM should follow from your deployment target and team's SQL comfort, not the other way around.
Frequently Asked Questions
Is Drizzle faster than Prisma?
In terms of bare ORM overhead and startup time, yes, Drizzle is still faster because it does not have an extra layer of query engine to start up. Prisma 7 brought down that margin substantially by switching from Rust engine to a more lightweight TypeScript and WASM engine. For applications that use server-side persistence rather than serverless functions, the difference becomes negligible, as the execution time of the database queries always will be dominant.
Can I switch from Prisma to Drizzle later, or the other way around?
Yes. It is possible to switch between Drizzle and Prisma after a while? Yes, but allocate some time for it. Ultimately, both ORMs produce the same SQL migrations to the same PostgreSQL tables, so your data will be unlocked. The thing that consumes time is rewriting every query in the application layer to the different ORM API. It becomes easier when teams follow a repository pattern and have all database queries under one single internal interface.
Does Prisma work on the edge now?
Yes, since Prisma 7, which came out later in 2025. Prisma versions before then required a Rust binary that did not support edge runtimes such as Cloudflare Workers, making this the clearest strength of Drizzle for several years until Prisma 7 introduced its TypeScript/WASM engine. However, Drizzle’s compactness remains an advantage where size is critical.
Which ORM should a solo founder pick for a new SaaS project?
If you haven’t used either before, then you should start with Prisma’s schema file and auto-generated client because of how much easier it is to use and because there are many more tutorials and SO answers. If you know how to use SQL well, then Drizzle will not waste your time.
Do Prisma and Drizzle both support PostgreSQL?
Absolutely, as both are fully compatible with PostgreSQL, MySQL, and SQLite. Prisma also supports SQL Server and MongoDB, something that Drizzle doesn’t support. If your project requires you to use MongoDB, then the decision becomes pretty clear on its own.
Bottom Line
Both ORMs are truly production-ready in 2026, and the difference between them has been narrowed from both sides: Prisma became lighter and edge-enabled, and Drizzle became more feature-rich. The better choice is based on how comfortable your team is with SQL and where your application really runs, not which ORM comes out ahead in the benchmarks.
Kostra Ships with Prisma and PostgreSQL baked in to a layered architecture right out of the box, alongside auth, Stripe billing, and file storage, so you’re not cobbling any of that together yourself. Compare it against other Next.js boilerplates to see how the rest of the stack holds up.
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