Company comparison
Upstash vs ClickHouse
Radar profile, momentum bars, and stack placement side by side.
Upstash
Not scored
momentum
ClickHouse
Not scored
momentum
Upstash capital
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ClickHouse capital
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No radar series.
Momentum head-to-head
Attribute tape
| Field | Upstash | ClickHouse |
|---|---|---|
| Category | Data infrastructure | Data infrastructure |
| Stack | Layer 3 | Layer 3 |
| HQ | San Francisco, CA, United States | San Francisco, CA, United States |
| Founded | 2020 | 2021 |
| Status | Operating | Operating |
| Funding | — | — |
| Momentum | — | — |
| Summary | Upstash is a serverless data platform offering Redis-compatible storage, vector database (for embeddings and RAG), AI-powered search, message queuing (QStash), and workflow orchestration APIs with per-request pricing and scale-to-zero architecture. Its products are purpose-built for edge and serverless runtimes such as Cloudflare Workers, Vercel Edge, and AWS Lambda. | ClickHouse builds an open-source column-oriented SQL database optimized for real-time OLAP analytics, available as self-managed software and a fully managed cloud service. It is widely used for high-speed analytical queries on large datasets across observability, logging, and business intelligence workloads. |
| Who for | Teams evaluating AI vendors in this category. | Teams evaluating AI vendors in this category. |
| Differentiator | Upstash is a serverless data platform offering Redis-compatible storage, vector database (for embeddings and RAG), AI-powered search, message queuing (QStash), and workflow orchestration APIs with per-request pricing and scale-to-zero architecture. Its products are purpose-built for edge and serverless runtimes such as Cloudflare Workers, Vercel Edge, and AWS Lambda. | ClickHouse builds an open-source column-oriented SQL database optimized for real-time OLAP analytics, available as self-managed software and a fully managed cloud service. It is widely used for high-speed analytical queries on large datasets across observability, logging, and business intelligence workloads. |