Snowplow for Data Engineering Teams
Break Free from Data Pipeline Burdens
Eliminate wasted cycles wrangling disparate and incomplete data for business teams. Gain complete control over your customer data to deliver high-quality, real-time event data to your data platform and other downstream destinations so you can refocus on innovation instead of maintenance.
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Flexible Data Collection & Processing
Collect and Process Rich, High-Quality Behavioral Data at Scale
Eliminates data silos and create a customer data foundation that the entire organization can rely on. Collect customer behavior across digital touchpoints and applications like web, mobile, desktop, server, video, in-game, smart TV applications, and emerging technologies like AI agents, wearables, and IoT. Dedicated data product and privacy tooling then validates, enriches, and processes that data in real time before delivering it to your desired destinations.
Capture comprehensive behavioral data across all digital touchpoints using 35+ first-party trackers and third-party webhooks; or mirror Snowplow trackers to instrument your own custom tracking
Collect, process, and analyze billions of customer events without affecting the performance of your digital estate
Process and enrich your data in real time with 15+ dedicated enrichments and support for custom enrichments via Javascript, SQL, and API
Improve Data Quality at Source
Ensure Accurate, Reliable Behavioral Data Across Your Entire Data Pipeline
Prevent data quality issues before they occur with built-in validation, real-time monitoring, and automated testing capabilities. Maintain data integrity and quickly identify, diagnose, and resolve data quality issues with detailed error reporting and recovery tools.
Enforce data quality standards through strict, automated validation
Generate type-safe tracking code with Snowtype and validate data in development environments with Snowplow Micro, ensuring data consistent consistency
Monitor and resolve failed events in real time through a Data Quality Dashboard
Accelerate Data Time-to-Value
Empower Teams Across Your Organization with AI-Ready Data
Deliver AI-ready data to preferred downstream destinations - warehouse, lake, or real-time stream. Load data seamlessly to your cloud data platform in real time, with powerful dbt models that aggregate the data into tables for BI & AI use cases. The democratization of data access frees up engineering resources while accelerating insights and real-time use cases across the organization.
Integrate with major data warehouses and lakes including Snowflake, Databricks, GCP BigQuery, AWS Redshift, AWS S3, and Azure Fabric
Connect with streaming technologies such as Kafka, Confluent, GCP Pub/Sub, AWS Kinesis, and Azure Event Hubs for real-time use cases
Access raw Snowplow event data at the atomic level directly without dependency on a third-party vendor, slow API, or an aggregated interface
An Architecture Data Engineers Trust
See Why Data Engineering Teams Choose Snowplow
Data engineering teams shift their focus from data wrangling and pipeline maintenance to high-impact initiatives, fostering a data-first culture.
We would not have achieved our current level of self-serve data without Snowplow. It has enabled us to democratize our data culture, significantly improving our analytics coverage and deepening our insights.
Data Engineer, Strava
Snowplow has enabled us to gain a unified view of our data assets. This helps us to ensure transparency, consistency, and reusability of data across all teams. As a result, they can work independently of each other and still make full use of our core data assets.
VP of Data, HeyJobs
The biggest thing is that I don't have to worry about that side [data ingestion] anymore, and I can refocus my energy onto the thing that's actually going to drive revenue and real value.
CTO, Software.com
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Get Started
Accelerate data time-to-value and action your analytical & operational use cases with same-day pipeline deployments.