PocketBase vs Datadog

PocketBase

Datadog

PocketBase · 12 features

• Access Rules — Record-level access rules (filter expressions) referencing @request and @collect…
• Admin Dashboard — Built-in web UI for schema + data management.
• Auth — Email+password, OAuth2 (Google, GitHub, Facebook, Apple, Discord, Microsoft, etc…
• Backups — Built-in backup/restore with S3 upload option.
• Built-in Mailer — SMTP integration for verification, password reset, magic link emails.
• Collections — Schema-defined record types with fields, validations, and record/admin/auth acce…
• Embedded JS Engine — JavaScript VM (goja) lets you write hooks in JS without recompiling.
• Extend as Go Library — Embed PocketBase in a larger Go app, add custom routes and events.
• File Storage — Local filesystem or S3-compatible storage with access rules.
• Hooks — Server-side Go or JavaScript hooks that run on CRUD events (OnRecordBeforeCreate…
• Migrations — JS/Go migration scripts applied on startup.
• Realtime Subscriptions — SSE-based subscriptions to collection changes.

Datadog · 19 features

• APM — Distributed tracing + service catalog + code hotspots.
• Application Security — Runtime attack detection, threat intelligence, IAST.
• CI Visibility — Test + pipeline performance analytics.
• Cloud SIEM — Security events correlation, detection rules, audit trails.
• Continuous Profiler — Always-on CPU, memory, lock profiling in production.
• Dashboards — Pre-built + custom dashboards.
• Database Monitoring — Slow query detection for Postgres, MySQL, Mongo, Oracle, SQL Server.
• Incident Management — Built-in incident response with postmortems.
• Infrastructure Monitoring — Host, container, k8s metrics. 700+ integrations. Live process + container maps.
• LLM Observability — OpenAI, Anthropic, etc. trace + cost + prompt eval.
• Log Management — Ingest any logs, structured or raw. Pipelines, parsing, archives to S3.
• Monitors — Anomaly, forecast, outlier, composite monitors.
• Network Performance Monitoring — Packet-level analysis, flow monitoring.
• Notebooks — Runbook-style dashboards with queries + docs.
• Real User Monitoring — Frontend performance, JS errors, user sessions, Core Web Vitals.
• Serverless Monitoring — AWS Lambda, Google Cloud Functions, Azure Functions observability.
• Service Catalog — Service inventory with ownership + documentation.
• Synthetics — Synthetic HTTP + browser tests, API tests, mobile tests.
• Workflow Automation — No-code workflows triggered by events.