Open-source analytics infrastructure with a managed cloud and enterprise deployment options
Build a high-performance, resource-efficient database or infrastructure product as open source, then monetize it through a managed cloud offering, proprietary features, enterprise sales, and flexible deployment across public cloud and on-premises environments.
From 20VC with Harry Stebbings — ClickHouse CEO: AI Margins Need to Improve | Revenue Concentration Should be a Concern at 01:30
Problem: Customers need to ingest, store, and query very large volumes of data with low latency and low resource cost, while retaining deployment flexibility for cloud, VPC, firewall, and on-premises environments.
For: AI-native companies, enterprises with large analytical workloads, regulated industries, financial-services companies, and organizations that need real-time analytics across broad use cases.
Products from this video
Amazon Web Services (AWS) Anthropic ChatGPT Claude ClickHouse Google Cloud Microsoft Azure
Examples
- ClickHouse: described as an open-source database adopted by thousands of companies before a company existed behind it; later used by Anthropic, OpenAI, Weights & Biases, Harvey, Sierra, Decagon, Tesla, and Microsoft.