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Chintan Shah
Chintan Shah

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winston vs pino in 2026: A Production-Tested Comparison

#logging #javascript #typescript #node

I ran both winston and pino in production Node.js APIs over the past two years. Both are excellent. Both are well-maintained. Both have millions of weekly downloads. But they're built for different priorities.

This post compares them honestly: benchmarks, features, migration paths, and which one I'd reach for in different scenarios.

No third option this time. Just winston and pino, the two grown-up choices in 2026.

TL;DR

If You... Pick
Serve 5k+ RPS and care about throughput pino
Already use winston in production with no real pain winston (don't migrate for fun)
Need an obscure transport (syslog, raw TCP) winston
Want a smaller, more focused API pino
Need JSON logs for log aggregator only pino
Need custom format combinators winston

Benchmark: 10,000 Structured Logs

Same workload. JSON output to stdout. Structured metadata. Node 22.

Logger Time (ms) Memory (MB) Bundle (gzipped)
pino 31 17 8 KB
winston 58 22 32 KB

pino is roughly 1.9x faster than winston on this machine (Node 22, Apple M-series, stdout redirected to /dev/null). Not new information but worth seeing real numbers rather than theoretical ones.

Benchmark code is at the bottom of this post.

When This Matters

If your API serves under 1k RPS, the difference is invisible to your users. Your bottleneck is your database, your downstream services, or your business logic. Not log serialization.

If your API serves 10k+ RPS or runs on small instances where every CPU cycle matters, pick pino.

Feature Comparison

Log Levels & Namespaces

Feature winston pino
Standard levels Yes Yes
Custom levels Yes Yes
Namespaced child loggers Yes Yes

Roughly equal. Neither is meaningfully easier.

PII Redaction

winston:

import winston from 'winston'
import { format } from 'winston'

const log = winston.createLogger({
  format: format.combine(
    format((info) => {
      delete info.password
      delete info.token
      return info
    })(),
    format.json()
  )
})
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Field deletion via custom format. No path syntax. No pattern detection. The winston-redact plugin exists but is barely maintained as of 2026.

pino:

import pino from 'pino'

const log = pino({
  redact: {
    paths: ['password', 'token', 'user.email', 'user.*.email'],
    censor: '[REDACTED]'
  }
})
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Cleaner. Path syntax with wildcards. Still no pattern detection (emails, SSNs, credit cards in free-form strings will leak through).

Winner: pino, by a clean API margin. Neither does automatic PII pattern detection.

Transports & Integrations

Destination winston pino
Console Built-in Built-in
File (with rotation) winston-daily-rotate-file pino-roll
Sentry winston-sentry pino-sentry
Datadog winston-datadog pino-datadog
Elasticsearch winston-elasticsearch pino-elasticsearch
CloudWatch winston-cloudwatch pino-cloudwatch-transport
Loki community pino-loki
Splunk winston-splunk pino-splunk
OpenTelemetry winston-opentelemetry pino-opentelemetry-transport

Both have most integrations. winston's ecosystem is larger but more fragmented (several popular plugins are unmaintained as of 2026). pino's ecosystem is smaller but more consistently maintained.

If you check the GitHub commit dates on plugins before installing, you'll quickly see what I mean.

TypeScript Support

Both work fine. pino's type inference is slightly nicer in 2026. winston's types are correct but verbose.

Browser Support

  • winston: Plugin-based (winston-browser), limited
  • pino: Node-only by design

Neither is great if you want the same logger in your frontend and backend. If that matters to you, neither of these is your answer (look at consola, loglevel, or other browser-focused options).

Backpressure & Reliability

winston:

  • Uses Node streams for transports
  • Built-in retry support varies by transport
  • No first-class circuit breaker

pino:

  • Uses worker threads (in pino.transport() mode) to move serialization off the main loop
  • Async transport by default, drops logs gracefully under backpressure
  • No first-class circuit breaker either

Winner: pino. The worker-thread architecture is a real engineering advantage when your log destination has hiccups.

When To Use Which

Use winston if:

  • You already use it in production. Migration cost is real and rarely worth it.
  • You need a transport that only winston has (winston-syslog is one example).
  • Your team has years of winston tribal knowledge.
  • You need flexible custom format chains.

Use pino if:

  • You're optimizing every CPU cycle.
  • You're okay with JSON-only output (typical for production).
  • You want a smaller, more focused API surface.
  • You're starting a new Node.js project today.

For new projects in 2026, pino is the safer default. It's faster, more focused, and the ecosystem is healthier.

Migration: winston → pino

The most common migration path. Takes 1-2 hours for a typical app.

// Before
import winston from 'winston'
const log = winston.createLogger({
  format: winston.format.json(),
  defaultMeta: { service: 'api' },
  transports: [new winston.transports.Console()]
})

log.info('User login', { userId: 123 })
log.error('Failed', err)
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// After
import pino from 'pino'
const log = pino({
  base: { service: 'api' }
})

log.info({ userId: 123 }, 'User login')  // note: payload first
log.error({ err }, 'Failed')              // errors go in object
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The Three Things That Trip People Up

  1. Argument order swaps. winston: log.info(message, payload). pino: log.info(payload, message). A regex find-replace handles 80% of it.

  2. Errors aren't first-class. winston accepts log.error(err). pino prefers log.error({ err }, 'description') because it serializes errors via the errorSerializer. Set up serializers early.

  3. No pretty output in production. pino's default is JSON to stdout, no colors. In development, pipe through pino-pretty. In production, ship raw JSON to your aggregator.

Migration: pino → winston (Rare)

Almost no one does this. If you're considering it, you probably want:

  • More flexible custom format chains (winston's format.combine is genuinely nice)
  • A specific transport only winston has

Otherwise, stay on pino.

What's Missing From Both

Honest critique of both libraries:

  1. Neither does automatic PII pattern detection. You write the regex or you use a plugin. In 2026 with GDPR, HIPAA, and PCI-DSS audits everywhere, this feels like a real gap. Path-based redaction (paths: ['user.email']) misses emails that slip into free-form message strings.

  2. Neither has a built-in circuit breaker. If your log destination (Datadog, Elasticsearch) goes down, your app's transport queue grows until something bad happens. I've seen this OOM a production pod. You bolt the fix on yourself.

  3. Neither has a great browser story. If your frontend and backend should share a logging abstraction, you're picking between two Node-first tools.

I ran into all three of these hard enough that I eventually built a logger to address them — logfx. It's newer than both and I'm not claiming it competes on adoption. But if any of these gaps resonate, it might be worth a look. I'll write up the full story in a follow-up post.

Conclusion

For most teams in 2026, pino is the right answer. Faster, well-maintained, focused API, healthy ecosystem.

winston is fine if you already use it. Don't migrate for fun. Migrations have real costs.

The "best logger" depends on what you're optimizing for. Hopefully this comparison made the tradeoffs clear.

Appendix: Benchmark Code 

import { performance } from 'node:perf_hooks'
import winston from 'winston'
import pino from 'pino'

const ITERATIONS = 10_000
const PAYLOAD = {
  userId: 123,
  email: 'user@example.com',
  action: 'login',
  metadata: { ip: '1.2.3.4', userAgent: 'curl/8.0' }
}

const winstonLog = winston.createLogger({
  format: winston.format.json(),
  transports: [new winston.transports.Console()]
})

const pinoLog = pino()

function bench(name, fn) {
  global.gc?.()
  const memBefore = process.memoryUsage().heapUsed
  const start = performance.now()
  for (let i = 0; i < ITERATIONS; i++) fn()
  const elapsed = performance.now() - start
  const memAfter = process.memoryUsage().heapUsed
  console.log(`${name}: ${elapsed.toFixed(0)}ms, ${((memAfter - memBefore) / 1024 / 1024).toFixed(1)}MB`)
}

bench('winston', () => winstonLog.info('User login', PAYLOAD))
bench('pino', () => pinoLog.info(PAYLOAD, 'User login'))
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Run with: node --expose-gc benchmark.js > /dev/null

(stdout redirected because we're measuring the logger, not the terminal.)

Got a strong opinion on winston vs pino? Drop a comment — genuinely curious what's driving people's choices in 2026. And if the gaps I mentioned above resonate, I'll link the follow-up post here when it's up.

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