August 2023 Summaries

Snowplow Micro is a streamlined version of the Snowplow pipeline designed for testing and debugging on a local machine before deploying tracking into production. The recent release of version 2.0.0 introduces a user-friendly interface that visualizes incoming events, providing both an overview and detailed analysis of events received. This new interface allows users to monitor real-time counts of valid and failed events, inspect standard fields, filter data, and review error messages for better understanding of issues related to tracking code, schemas, or enrichments. Additionally, Snowplow Micro supports automated testing with tools like Nightwatch and Cypress, facilitating the creation of end-to-end GitHub Actions testing workflows, responding to the need for a more visual tool for both BDP customers and open-source users.

In the rapidly evolving e-commerce landscape, web analytics is crucial for understanding customer behavior and shaping business strategies. A report by GigaOm in August 2023 evaluated Snowplow and Google Analytics 4 (GA4), focusing on usability, performance, data scanned, and total cost of ownership (TCO). The findings indicated that Snowplow significantly outperformed GA4, being faster, more cost-effective, and user-friendly. Specifically, Snowplow queries were faster, scanned less data, and were less costly over three years. This evaluation suggests that Snowplow is a viable alternative to GA4, particularly for e-commerce companies using cloud data warehouses. The study highlighted Snowplow's e-commerce accelerator and dbt models, which aid in creating BI and AI-ready first-party behavioral data, speeding up insights for marketers, and reducing development cycles for data teams. Additionally, Snowplow announced a Snowflake-integrated application offering pre-built analytics components, enhancing ease of use and data ownership without compliance issues.

Microsoft Azure, as a leading cloud service provider, is now supported by Snowplow, which has introduced a quick start guide for deploying its open-source pipeline on Azure. This initial release allows users to collect and manage rich behavioral data within their Azure accounts, and load it into Snowflake, with setup automated via Terraform modules. Feedback is encouraged on Discourse to aid future development. Additionally, Snowplow offers BDP Cloud for those preferring a SaaS solution that integrates with Snowflake or Databricks on Azure, without requiring non-Azure infrastructure. The announcement also outlines plans to expand Azure support across various platforms like Databricks, Microsoft Synapse, and Azure Data Lake, and to extend Azure compatibility to the Snowplow BDP Enterprise offering, with interested parties invited to join a waiting list.

Snowplow is transitioning most of its open source code from the Apache 2.0 license to the Snowplow Community License to ensure continued investment in its open source community while protecting its commercial interests. This change, excluding specific SDKs and trackers that will remain under the Apache 2.0 license, aims to prevent businesses from using Snowplow's code to create competing products without contributing back to the community. The Snowplow Community License allows access and modification of the source code but restricts the creation of competing offerings. This transition is anticipated to have minimal impact on most open source users, as customers using BDP Enterprise or BDP Cloud will remain unaffected under commercial license terms. The new license applies from the next major version release of each pipeline component, including some already released elements like Snowflake Loader 5.7.0 with Azure support.