ClickHouse + anybill

ClickHouse is a column-oriented open source database for analytical queries. It is built to evaluate very large volumes of data at high speed, even while new data is continuously being written. Originally developed for web analytics and released under an open source licence in 2016, the project is now backed by ClickHouse Inc., which also offers a managed variant with ClickHouse Cloud. It is accessed through SQL, common drivers and connectors to streaming and data lake systems. Typical uses are real-time dashboards, usage analytics, observability and event-based data models.

Working with anybill

ClickHouse holds and answers the data, anybill supplies a source for it. Retailers building their analytics layer on ClickHouse can feed in receipt data from in-store sales. ClickHouse stays the database, anybill stays the service for the digital receipt. No certified live connector is claimed here.

The profiles fit well. Receipt data is event-based, arrives continuously and is queried mostly in aggregate, which is exactly the kind of load a column-oriented database is built for. anybill can provide first-party data from the store purchase that sits beside online events and system data. Schema, queries and operations stay on the ClickHouse side.

Who this is for

This is relevant for retailers with their own data team who run an analytics platform themselves or consume it as a cloud service and choose their sources deliberately. Anyone already analysing online behaviour at event level but knowing only daily totals in store has the bigger gap there.

It also speaks to teams that need dashboards close to real time, for store operations or campaign analysis. The audience is not the business looking for a finished report, but the organisation that shapes its own data layer.

Value in brick-and-mortar retail

In the store the digital receipt cuts paper at the till and makes the purchase available as a structured event. In a ClickHouse environment that can be processed directly: sales per store and hour, basket analysis or campaign impact without the detour through nightly exports. The receipt is created GDPR-compliant at the point of sale, and the retailer keeps control of the data.