Automat-it Pixel Data Platform

As development teams scale, every new data source they want to track triggers a chain of coordination across engineers, data teams, and platform teams. Schema design, message queue provisioning, database table creation, pipeline configuration - a process that routinely takes days, sometimes weeks. Data contracts are implicit and unenforced. Schema changes break downstream consumers without warning. Costs are pooled and opaque, with no visibility into which team or product is driving the bill. And architectures that work at startup scale quietly fall apart at enterprise load.

Existing platforms don't solve this cleanly. Managed warehouses like Snowflake and BigQuery are convenient but expensive at scale for high-volume event analytics. Open-source engines like ClickHouse are performant and cost-effective but operationally complex. Nothing on the market unifies both without forcing a compromise. Analytical data infrastructure should scale like infrastructure - not like software licenses.

Pixel offers an AWS-native alternative that lets developers define their data emissions once and automates everything downstream, keeping all data inside your AWS account and scaling in a way engineering, finance, and security teams can plan for.

The solution delivers production-grade analytical data infrastructure without enterprise overhead, built on standardised, production-tested infrastructure-as-code patterns and leveraging native AWS services including:

• Amazon EKS for Kubernetes-native orchestration of all platform components
• Amazon MSK (Kafka) for high-throughput event streaming with a 7-day replay buffer
• ClickHouse on EKS for sub-500ms analytical query performance at scal
• AWS Glue Schema Registry for centralised, versioned data contract enforcement
• Amazon S3 and Glacier for cost-efficient ClickHouse backup and long-term archival
• AWS KMS for customer-managed encryption across all data at rest

All deployed within your AWS account - infrastructure you own and control - to deliver a secure, compliant, and operationally consistent analytical data platform.

The platform provides automated pipeline provisioning triggered by a single developer-defined contract, enforced data governance at the pipeline boundary, per-team cost attribution, and deep AWS integration. A new data source goes from contract definition to fully queryable data in minutes. Organisations maintain complete control over their data and infrastructure while scaling from 5,000 to 500,000+ events per second - without re-architecture, without cross-team coordination overhead, and without the unpredictable cost growth of vendor-managed warehouses.