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description=Drizzle ORM is a lightweight and performant TypeScript ORM with developer experience in mind.;

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drizzle orm benchmarks we ve merged alternation engine into beta release try it out get started documentation studio benchmarks 35k light dark system postgresql mysql sqlite singlestore mssql cockroachdb postgresql meet drizzle get started sustainability why drizzle guides tutorials latest releases gotchas upgrade to v1 0 how to upgrade v0 v1 updates relational queries v1 to v2 fundamentals schema relations database connection query data migrations connect postgresql planetscale postgres neon vercel postgres prisma postgres supabase xata pglite nile bun sql effect postgres netlify database aws data api postgres drizzle proxy expand manage schema data types indexes constraints sequences views schemas drizzle relations row level security rls extensions migrations overview generate migrate push pull export check up studio custom migrations migrations for teams web and mobile drizzle config ts seeding overview generators versioning access your data query select insert update delete filters utils joins aliases magic sql operator sql comments performance queries serverless advanced set operations generated columns transactions batch cache dynamic query building read replicas custom types codecs jit mappers goodies validations zod valibot typebox arktype typebox legacy effect schema extensions eslint plugin drizzle graphql system light dark become a sponsor twitter discord biased benchmarks we ran perf tests results are in the awesome dashboard below take them with a grain of salt ofc 1 x 2 x 4 x 8 x 16 x 32 x pause 0 vus 0 1k 1k 2k 2k 3k 3k drizzle v1 0 0 rc 1 jit vs go v1 25 5 micro database size e commerce postgresql lenovo m720q linux 5 15 0 86 generic x86_64 intel core i3 9100t ram 32gb ddr4 2666mhz benchmark config drizzle v1 0 0 rc 1 jit bun v1 3 13 bun sql bun logo bun v1 3 13 bun sql bun v1 3 13 node postgres go v1 25 5 avg latency 0 0ms avg latency 0 0ms avg 0 req sec failed requests drizzle handled x nan less requests 0 avg 0 req sec failed requests drizzle handled x nan less requests 0 avg cpu load 0 0 avg cpu load 0 0 orm database size project type database drizzle 1 0 0 rc 1 jit vs go v1 25 5 drizzle v1 0 0 rc 1 vs go v1 25 5 drizzle v1 0 0 rc 1 jit vs prisma v7 8 0 drizzle v1 0 0 beta 2 vs prisma v7 1 0 drizzle v0 33 0 vs prisma v5 18 0 drizzle v1 0 0 beta 2 vs go v1 25 5 drizzle vs typeorm coming soon open on github ︎ how it works drizzle has been originally designed to be a thin layer on top of sql and introduce minimal runtime overhead and by introducing prepared statements and relational queries we ve smashed it it s now both fast and has exceptional dx and no n 1 problem for relational queries but how fast is it is it drizzle or is it sql who s fast what to measure what is a meaningful benchmark we ve spent quite some time doing synthetic benchmarks with mitata tested everything in one runtime and then in separate containerised so there s no gc cross influence community made their own benchmarks and helped us allocate relational queries performance and row reads bottlenecks and make them really fast and efficient we ve tested different sql dialects across all the competitors and while we were crazy fast in some cases 100 times faster than prisma with sqlite we only wanted to share benchmarks that were meaningful for businesses and developers from business perspective request roundtrip is the most important metric when it comes down to the server side performance while you can influence network latency with services like cloudflare argo on the server side it usually comes down to the database queries we ve composed a test case with a 370k records in a postgresql database and generated production like e commerce traffic benchmarks on 1gb ethernet to eliminate any discrepancies on lenovo m720q drizzle can handle 4 6k reqs s while maintaining a 100ms p95 latency we ran our benchmarks on 2 separate machines so that observer does not influence results for database we re using postgresql instance with 42mb of e commerce data 370k records k6 benchmarking instance lives on macbook air and makes 1m prepared requests through 1gb ethernet to lenovo m720q with intel core i3 9100t and 32gb of ram to run your own tests follow instructions below prepare test machine spin up a docker container with postgresql using pnpm start docker command you can configure a desired database port in src docker ts file const desiredpostgresport 5432 change here main update database_url with allocated database port in env file database_url postgres postgres postgres localhost 5432 postgres seed your database with test data using pnpm start seed command you can change the size of the database in src seed ts file main micro nano micro make sure you have node version 18 installed or above you can use nvm use 18 command start drizzle prisma server drizzle pnpm start drizzle prisma pnpm prepare prisma pnpm start prisma prepare testing machine generate a list of http requests with pnpm start generate it will output a list of http requests to be run on the tested server data requests json install k6 load tester run benchmarks use the built in benchmark runner tsx bench index host http 192 168 31 144 3000 name my bench folder results http 192 168 31 144 3000 drizzle http 192 168 31 144 3001 prisma prepare final combined results after benchmarks finish merge all outputs into a single json file tsx bench prepare folder results headless typescript orm with a head github discord documentation get started manage schema access data migrations resources drizzle studio drizzle gateway benchmarks learn guides tutorials latest releases