> Part of the walkerOS documentation. Project overview and full index: <https://www.walkeros.io/llms.txt>

# walkerOS vs. Snowplow

[Snowplow](https://snowplow.io/) is a behavioral data platform founded in 2012 that offers both open-source and enterprise solutions for event data collection.

## Quick comparison[​](#quick-comparison "Direct link to Quick comparison")

| Feature              | Snowplow                    | walkerOS                       |
| -------------------- | --------------------------- | ------------------------------ |
| Open-source          | Partially (SLULA license)   | Yes (MIT)                      |
| Pricing              | From $800/month (BDP Cloud) | Free (paid support available)  |
| Self-hosted option   | Yes                         | Yes                            |
| Complexity           | High (enterprise-grade)     | Low to medium                  |
| Setup time           | Days to weeks               | Hours                          |
| Target audience      | Data teams at scale         | Developers and small teams     |
| Composable tagging   | No                          | Yes (tag once, use everywhere) |
| Data warehouse focus | Primary destination         | One of many destinations       |
| Real-time streaming  | Yes (enterprise)            | Yes                            |
| Trackers             | 35+ SDKs                    | Web, server, flexible sources  |

## Who should use what?[​](#who-should-use-what "Direct link to Who should use what?")

### Choose Snowplow if[​](#choose-snowplow-if "Direct link to Choose Snowplow if")

* You have a dedicated data engineering team
* You need enterprise-grade data infrastructure at scale
* Your primary goal is feeding data warehouses (Snowflake, BigQuery, Databricks)
* You want 35+ pre-built trackers across platforms
* Budget allows for $800+/month or self-hosting resources

### Choose walkerOS if[​](#choose-walkeros-if "Direct link to Choose walkerOS if")

* You want something lightweight and quick to set up
* You're a developer or small team without dedicated data engineers
* You need destinations beyond data warehouses
* You prefer an MIT license over restricted licenses
* You want to start free and scale as needed

## Key differences[​](#key-differences "Direct link to Key differences")

### Complexity and setup[​](#complexity-and-setup "Direct link to Complexity and setup")

**Snowplow:** Infrastructure built for large-scale data operations. Setup takes significant time and often dedicated data engineering resources. The open-source version needs self-hosting expertise, and the managed BDP starts at $800/month.

**walkerOS:** Lightweight and developer-friendly, with setup measured in hours rather than weeks. It is meant for teams that want tracking infrastructure without the complexity of an enterprise data platform.

### Licensing[​](#licensing "Direct link to Licensing")

**Snowplow:** The open-source version uses the Snowplow Limited Use License Agreement (SLULA), which restricts commercial use. Full commercial use requires their enterprise offering.

**walkerOS:** MIT licensed. You can use it commercially, modify it, and fork it without restrictions.

### Cost[​](#cost "Direct link to Cost")

**Snowplow:** BDP Cloud starts at $800/month. Self-hosted open-source is "free" but requires significant infrastructure and engineering investment. Enterprise tiers (Basecamp, Ascent, Summit) scale up with custom pricing.

**walkerOS:** The software is free and open-source, and you pay for your own infrastructure. Optional paid services include implementation support (setup fees) and SLAs for teams that want help getting started or need guaranteed support.

### Focus and philosophy[​](#focus-and-philosophy "Direct link to Focus and philosophy")

**Snowplow:** Customer data infrastructure (CDI) for feeding data warehouses and powering analytics at scale, aimed at data teams building sophisticated data products.

**walkerOS:** Event collection and routing that sends data anywhere: analytics tools, data warehouses, marketing platforms, or your own APIs. It is aimed at developers who want control without that complexity.

### When they overlap[​](#when-they-overlap "Direct link to When they overlap")

Both solutions can:

* Collect behavioral event data
* Self-host on your infrastructure
* Send data to warehouses and other destinations
* Handle consent management

Where they differ is scale and complexity: Snowplow is a full data platform, and walkerOS is focused event infrastructure.

## Can they work together?[​](#can-they-work-together "Direct link to Can they work together?")

Yes. You can use walkerOS for event collection and send the data to Snowplow as a destination. walkerOS then handles composable tagging and consent on the frontend, and Snowplow's data infrastructure runs on the backend.

### Using the Snowplow destination[​](#using-the-snowplow-destination "Direct link to Using the Snowplow destination")

The `@walkeros/web-destination-snowplow` package provides full integration:

```
import { startFlow } from '@walkeros/collector';

import { destinationSnowplow } from '@walkeros/web-destination-snowplow';



const { elb } = await startFlow({

  destinations: {

    snowplow: {

      destination: destinationSnowplow,

      config: {

        settings: {

          collectorUrl: 'https://collector.yourdomain.com',

          appId: 'my-app',

          userId: 'user.id', // Cross-session user stitching

        },

      },

    },

  },

});
```

It supports:

* Full ecommerce tracking (product views, cart actions, transactions)
* Cross-session user identity via `setUserId`
* Anonymous tracking mode for privacy compliance
* Page context with `setPageType`
* Global contexts and custom schemas
* Activity tracking (page pings)
* Plugin support (NPM and URL-based)

See the [Snowplow destination documentation](/preview/pr-720/docs/destinations/web/snowplow.md) for full configuration options.

## Getting started[​](#getting-started "Direct link to Getting started")

The [quickstart guide](/preview/pr-720/docs.md) shows how to set up lightweight event collection without enterprise complexity.