---
title: NoLag vs PubNub
description: "NoLag vs PubNub: both deliver realtime messaging at scale. NoLag adds a coordination layer for AI agents and blueprint SDKs for chat, notifications, and dashboards."
---

# NoLag vs PubNub

PubNub is a realtime messaging platform known for pub/sub at scale, presence, and serverless Functions for handling events. NoLag shares the realtime pub/sub foundation and adds two things: blueprint SDKs for common app patterns, and a coordination layer built for AI agents.

Short version: if you want large-scale messaging with serverless event handlers, PubNub is a strong fit. If your focus is shipping realtime features quickly, or coordinating AI agents, NoLag is built for that.

## At a glance

| | NoLag | PubNub |
| --- | --- | --- |
| Core model | Realtime pub/sub over WebSocket | Realtime pub/sub messaging |
| High-level SDKs | Blueprints for chat, notify, feed, dashboards, tracking, sync, and more | Pub/sub, presence, Functions |
| AI-agent coordination | Built in: dispatch, share state, observe, approve | Not a focus |
| Server-side logic | Webhooks and topic configs | Serverless Functions |
| SDKs | JavaScript/TypeScript, Go, Python | Client and server libraries across many languages |

## Where NoLag is different

- **Blueprint SDKs.** Ship chat, notifications, dashboards, and tracking with a domain-specific API instead of assembling primitives.
- **A coordination layer for AI agents.** Dispatch work, share state, observe decisions, and gate actions with human approval, on the same infrastructure as your app.
- **One platform for agents and humans.**

## Where PubNub is a strong fit

- Proven at very large messaging scale.
- Serverless Functions for in-stream event processing.
- Broad official SDK coverage.

## When to choose NoLag

- You are building AI-agent features and want coordination primitives.
- You want higher-level SDKs to move faster on common patterns.
- You want a single realtime platform for both humans and agents.

## Try it

Follow the [5-minute quick start](/docs/getting-started), then explore the [high-level SDKs](/docs/high-level-sdks) and the [AI agents](/docs/agents) guide.