Prisma development company
Krapton builds and repairs Prisma data layers in TypeScript applications: schemas that model your domain accurately, migrations that never drop data by surprise, queries that avoid over-fetching, and connection handling that holds up on serverless and edge runtimes.
- Senior engineers · IST + EST overlap
- NDA on day 1
- 24-hour reply
- Projects shipped
- 50+
- Code ownership
- 100%
- Client rating
- 4.8/5
- First reply
- 24h
Prisma done properly, from schema to production
Krapton is a Prisma development company for Node.js and TypeScript teams that want database access as type-safe as the rest of their code. Prisma makes the happy path pleasant: a declarative schema, a generated client, and migrations produced from schema diffs. The problems arrive later. Renaming a field can generate a migration that drops and recreates a column, losing its data, unless someone edits the SQL created with --create-only. Serverless functions each open their own pool and exhaust PostgreSQL unless traffic goes through PgBouncer, Prisma Accelerate or a driver adapter built for serverless. Nested include calls fetch far more than a page needs. Our engineers review every generated migration before it reaches production, use select to shape responses, drop to TypedSQL or $queryRaw for reporting queries the client cannot express efficiently, and keep triggers or row-level security policies in hand-written migration SQL. We will also tell you when Drizzle or Kysely suits your team better.
Prisma development services
Prisma schema modeling
Models, relations, enums, composite keys and indexes written to match your domain, referential actions chosen deliberately, and @map or @@map naming that keeps legacy table and column names intact.
Migration workflow setup
prisma migrate dev locally, migrate deploy in CI, shadow databases configured, and every generated SQL file reviewed for drops, locks and needed backfills before it merges.
Adopting Prisma on existing databases
Introspection with db pull, baselining with migrate resolve so existing tables are not recreated, and gradual replacement of raw SQL or TypeORM code one module at a time.
Query performance work
Tracing queries through Prisma’s OpenTelemetry instrumentation, replacing broad include trees with select, adding missing indexes, and moving heavy reports to TypedSQL or raw SQL where it pays off.
Serverless and edge deployment
Connection management on Vercel, AWS Lambda and Cloudflare Workers through Prisma Accelerate, PgBouncer or driver adapters for Neon and similar databases, plus the Next.js client singleton pattern.
Prisma version upgrades
Major-version upgrades following the official guides: generator and client output changes, driver adapters replacing the Rust engine, client extensions replacing deprecated middleware, and tests run at each step.
Why teams choose Krapton for Prisma
Senior engineers, fixed scope, and code you own — the things agencies promise and rarely deliver.
Every migration read by a human
Generated SQL is never trusted blindly. Renames, type changes and NOT NULL additions get edited migrations with backfills, so a schema tweak cannot silently delete production data.
Types that reach the frontend
Prisma’s generated types flow into tRPC, GraphQL or REST contracts validated with Zod, so a schema change surfaces as a compile error across the whole stack.
Knowing where Prisma stops
Triggers, row-level security policies, specialized index types, materialized views and complex reports are handled in SQL where the client cannot express them, without abandoning Prisma elsewhere.
Tests on a real database
Integration tests run against PostgreSQL or MySQL in Docker or Testcontainers, reset between suites, rather than mocking the Prisma client and missing constraint errors entirely.
How a Prisma project runs with Krapton
01
Schema and query audit
We read the Prisma schema, migration history and slow query logs, then flag data-loss risks, missing indexes and connection problems in a written report.
02
Migration strategy
We agree how migrations are authored, reviewed and deployed, including shadow databases, CI drift checks with migrate diff, and rollback steps for risky changes.
03
Build and refactor
Features and fixes ship through pull requests that include generated SQL, query logs for new endpoints and integration tests against a real database.
04
Deploy and hand over
Pipelines run migrate deploy before traffic shifts, and your team receives conventions, runbooks and the reasoning behind every non-default Prisma choice we made.
The Prisma stack we build with
Prisma development: questions answered
What does a Prisma development company do?
It designs and maintains the data layer of TypeScript applications built on Prisma ORM. That includes schema modeling, migration workflows, query performance, connection handling on serverless platforms, and upgrades between Prisma versions. Teams usually bring in specialists when migrations start causing incidents, when database connections run out under load, or when Prisma queries have become the slowest part of their API.
Prisma vs Drizzle: which should we choose?
Choose Prisma when you value a declarative schema, a polished migration workflow and a high-level client that newer developers learn quickly. Choose Drizzle when your team thinks in SQL, wants the schema defined in TypeScript, and prefers a thinner layer with less runtime machinery. Both are type-safe. For report-heavy systems, Kysely or raw SQL alongside either ORM is common, and mixing approaches deliberately works well.
How do Prisma development services move an existing project onto Prisma?
We introspect the current database with prisma db pull, tidy the generated schema with @map names and explicit relations, then baseline the migration history so Prisma treats existing tables as already applied. Data access moves module by module from TypeORM, Sequelize, Knex or raw SQL, with tests confirming identical behavior. Nothing in the live database changes until your team is comfortable with the new workflow.
Why does Prisma run out of database connections in serverless deployments?
Each function instance creates its own Prisma Client with its own pool, so a traffic spike multiplies connections until the database refuses new ones. Fixes include routing through PgBouncer or Prisma Accelerate, using a driver adapter for a serverless-friendly database such as Neon, lowering pool size per instance, and reusing one client per instance. In Next.js development, a global singleton stops hot reloads from leaking clients.
How should we handle Prisma upgrades?
Upgrade deliberately, one major version at a time, using Prisma’s upgrade guides. Recent major releases changed client generation, introduced driver adapters and a TypeScript query engine in place of the Rust binary, and removed deprecated APIs, so test suites must run against a real database at each step. Keep the prisma and @prisma/client package versions in lockstep, since mismatches cause confusing runtime errors.
Ready to build? Tell us what you have in mind.
Send a short brief and a senior engineer will reply within one business day with next steps — no sales fluff.