SnowcatCloud

SnowcatCloud

1 month free + 3 months free on the Startup plan

Worth up to $3,000 Visit website

Snowcat Cloud is more than just a cloud-hosted and managed Snowplow service. With infrastructure in North America, Europe, and Asia-Pacific, as well as SOC 2 Type 2 certification and GDPR compliance, Snowcat Cloud offers a level of security and global accessibility that is unmatched. But what sets Snowcat Cloud apart is its fully featured Snowplow pipeline. This powerful tool allows you to collect behavioral event data in real-time from your website, mobile application, or server. And with seamless integration capabilities, you can effortlessly deliver that data to your preferred data warehouse, whether it be BigQuery, Snowflake, Redshift, Databricks, or others. But the benefits don't stop there. With Snowcat Cloud, you also have the opportunity to access the underlying infrastructure. This means you can run Snowplow not only to empower your data team but also to seamlessly integrate it into your own SaaS product. The possibilities are endless. And let's not forget about Snowcat Cloud's impressive client list. With leading startups such as Metabase, Meltano, dbt, Oda, and Activecampaign on board, you can trust in the reliability and effectiveness of this service. In summary, Snowcat Cloud is your ticket to creating a 360-degree view of your customers. By collecting behavioral event data from your digital properties and utilizing advanced graph technology for identity stitching, you can gain valuable insights into your target audience. And the best part? You maintain ownership of your data and have full access to the underlying infrastructure. So why wait? Join our marketplace and gain access to exclusive content, SaaS experts, and a worldwide network of entrepreneurs. Unlock your full potential today.

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Features

  • Real-time, fully-featured Snowplow pipeline

    SnowcatCloud is a fully featured Snowplow pipeline. Collect data securely, reliably, and at scale with cost-efficiency and in real-time.

  • Fully white-label domain collector

    Avoid Apple ITP and run the Snowplow collector under your domain: sp.yourdomain.com. First-party data collection.

  • Automated report generation

    SnowcatCloud's automated report generation feature enables you to create custom reports on a recurring basis - daily, weekly, or monthly. Get the insights you need to improve your business's performance and make data-backed decisions, without having to manually create reports.

  • Premium enrichments included

    In addition to the standard Snowplow enrichments, Snowcat provides increased accuracy geolocation and ISP enrichments.

  • Real-time, cost-efficient data transformation

    SnowcatCloud's real-time data transformation feature enables you to collect and transform your data into information that can be used to make business decisions. With cost-efficient pricing and robust infrastructure, you can collect and transform data at scale.

  • Cost-efficient at scale

    Scale from millions to billions of events with cost-efficiency. Run Snowplow in our infrastructure (cloud-hosted) or your cloud computing account (managed service).

  • Customer knowledge graph

    Integrate with the Neo4j graph database and create your customer knowledge graph, enabling richer and more accurate customer profiles and marketing attribution.

  • Personalized notifications

    With SnowcatCloud's personalized notifications feature, you can create customized alerts and notifications for a variety of different metrics - from website traffic to sales. Stay up-to-date with your business's on-goings in real-time and enable quicker decision-making.

Pros and cons

Pros

  • Outstanding customer support: Chat, email, Zoom, and a shared Slack channel.
  • Cost-Efficient at any scale: Cost-effective no matter your event volume, startup to enterprise.
  • Customer graph integration: Integration with Neo4j for identity resolution and marketing attribution.

Cons

  • Requires a data team: Snowplow requires a data team with knowledge of SQL and data modeling techniques.
  • Requires a data warehouse: owning a data warehouse and AWS/GCP Infrastructure is required.
  • No visualization layer: All your analytics needs to be driven by your own SQL models/analysis.