ClickHouse is a fast, open-source columnar database built for real-time data processing and analytics at scale.
ClickHouse Cloud delivers the query speed and concurrency that applications demanding instant insight from large volumes of data require.
As AI agents become more embedded in software, generating higher query volumes at tighter latency, ClickHouse provides a high-throughput, low-latency engine purpose-built for that workload.

ClickHouse

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ClickHouse is an open-source, column-oriented OLAP database and real-time data warehouse that delivers extremely fast, resource-efficient analytics at petabyte scale. ClickHouse offers both self-managed open-source software and managed cloud services (ClickHouse Cloud available on AWS, GCP, Azure), as well as complementary products like ClickHouse Managed Postgres, ClickStack (an open-source observability stack), Langfuse for LLM observability, Agentic Data Stack for AI applications, and chDB in-process SQL engine. It targets use cases such as real-time analytics, observability, data warehousing, machine learning and GenAI, and provides integrations with BI tools, data ingestion, and language clients. ClickHouse is used by enterprises across industries (e.g., financial services, cybersecurity, e-commerce, gaming, automotive) and emphasizes performance, cost-efficiency, developer-friendliness, and open-source community adoption.

ClickHouse is a fast, open-source columnar database built for real-time data processing and analytics at scale. ClickHouse Cloud delivers the query speed and concurrency that applications demanding instant insight from large volumes of data require. As AI agents become more embedded in software, generating higher query volumes at tighter latency, ClickHouse provides a high-throughput, low-latency engine purpose-built for that workload.

• Develop go-to-market strategies and plans to drive awareness, demand, and adoption of Postgres managed by ClickHouse
• Craft messaging, positioning, and value propositions
• Create website content, blogs, presentations, internal enablement content, and other marketing collateral
• Collaborate with product, field, and marketing teams to gather market insights and understand customer needs
• Conduct competitive analysis to understand market trends and identify opportunities
• Evaluate and iterate on the strategy using metrics and stakeholder feedback
• Track efficacy, identify areas for improvement, and make data-driven recommendations

Product Marketing, Postgres

Product Marketing Manager launching ClickHouse’s managed Postgres cloud offering. Building GTM strategy, messaging, collateral, and adoption for a unified transactional-analytics data stack.

ClickHouse

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Product Marketing, Postgres

ClickHouse