ClickHouse

What ClickHouse does

ClickHouse is a fast, open-source columnar database built for real-time data processing and analytics at scale. It provides millisecond queries at petabyte scale, powering agentic systems and applications demanding instant insight from large volumes of data. ClickHouse Cloud delivers query speed and concurrency for high-throughput, low-latency workloads, especially as AI agents generate higher query volumes. The platform is designed for various modern data challenges including real-time analytics, observability, data warehousing, and ML & GenAI. It offers an open platform for AI on real-time data, enabling agentic analytics and providing tools for LLM observability, evaluations, and prompt management.

Products

• ClickHouse CloudA fully managed ClickHouse service available on AWS, GCP, and Azure, designed for ease of use, scale, and efficiency. It automatically scales compute resources based on workload and offers separate scaling for storage and compute.
• ClickHouse (Open-Source)The open-source columnar database management system that allows users to generate analytical reports using SQL queries in real-time. It can be deployed on-premises or in any cloud environment.
• ClickHouse LocalA version of ClickHouse for fast processing on local and remote files using SQL without needing a full database server. Ideal for development, testing, and ad-hoc queries on various file formats.
• ClickHouse Platform for AIAn open, end-to-end stack for AI on real-time data, enabling agentic analytics. It includes ClickStack for observability, MCP connectivity, ClickHouse Assistant, Code Interpreter, and Langfuse for LLM engineering.
• LangfuseAn open-source platform for LLM observability, evaluations, and prompt management, now part of ClickHouse. It helps build, monitor, and optimize AI applications at scale.
• ClickPipesAn integration engine available exclusively in ClickHouse Cloud that simplifies ingesting massive volumes of data from diverse sources with turn-key pipelines.
• ClickHouse AssistantAn AI assistant within the ClickHouse Cloud console to help write SQL faster, debug queries, and learn ClickHouse.
• Sandboxed Code InterpreterAllows running Python or JavaScript against live ClickHouse query results inside conversations for modeling, transforming, and visualizing data inline.
• No-Code Agent BuilderTool to build and share specialized, governed agents for teams and workflows without writing code.

Key capabilities

• Blazing fast query performance
• Developer friendly with simple SQL
• Cost effective with best-in-class compression ratios
• Secure and compliant
• Resource optimized
• Proven at scale
• 100+ integrations
• Column-oriented database architecture
• Real-time data processing
• High query concurrency
• Automatic scaling of compute resources
• Separate scaling for storage and compute
• Metered pricing dimensions
• Open-source core
• Deployment flexibility (Cloud, self-hosted, local)
• Continuous ingest capabilities
• Vector search (linear and approximate techniques)
• User Defined Functions (UDFs) for invoking models
• Materialized Views for data transformations
• Native support for OpenTelemetry (OTel)
• CMEK, BYOC support, fine-grained access controls, built-in GDPR-compliant TTLs and deletes

Use cases

• Real-time analytics
• Observability (logs, metrics, traces)
• Data warehousing
• Machine learning and GenAI (model training, vector search, inference)
• Powering agentic systems
• Interactive applications and dashboards
• Anomaly detection
• Fraud detection
• Network or infrastructure issues detection
• Business usage analysis
• User behavior analysis
• Ad performance analysis
• Market dynamics analysis
• LLM observability, evaluations, and prompt management
• Cybersecurity threat detection and security analytics
• Financial services (trading, payments, fraud detection, AML monitoring, KYC pattern scoring, digital assets & crypto analytics)
• Gaming and entertainment (player experiences, game analytics, in-game events, ad decisions, Game Performance Monitoring)
• E-commerce and retail (inventory, sales, customer insights, optimization)
• Automotive (connected car data, autonomous driving insights)
• Energy (management, smart grid operations)
• User-facing dashboards and apps
• Supply chain optimization
• Proactive maintenance
• Intelligent automation
• Trend evaluation and monitoring
• API observability
• Quant backtests
• Real-time P&L
• Usage-based billing
• On-chain intelligence
• Agent-Facing Analytics
• Crash analytics and performance debugging
• Log, KPI, and application monitoring
• Network optimization and routing
• Customer intelligence
• Player retention and churn prediction
• Real-time ad tech and marketing
• Critical KPI monitoring
• Personalized in-game content and A/B testing
• Real-time leaderboards and rankings
• Trust & safety monitoring
• Security and operations
• Anti-cheat analytics

AI approach

ClickHouse provides a fast, open-source columnar database for real-time data processing and analytics, which is purpose-built to power AI agents and machine learning workloads. It offers blazing-fast vector search, instant aggregations for model training at petabyte scale, and plug-and-play Generative AI models from any provider. The platform includes tools like ClickHouse Assistant for SQL, a sandboxed Code Interpreter, and integration with Langfuse for LLM observability. It supports agentic analytics and allows users to build and deploy AI agents on real-time data.

Tech named: vector search, aggregations, Generative AI models, LLM observability, AI agents, Code Interpreter, Langfuse, LibreChat, Model Context Protocol (MCP), User Defined Functions (UDFs), embeddings

Industries served

• Software Development
• Cybersecurity
• Financial services
• Gaming and entertainment
• E-commerce and retail
• Automotive
• Energy

What it says sets it apart

• Fastest and most resource efficient real-time data warehouse and open-source database
• Ultimate query performance for mission-critical and time-sensitive applications
• Best-in-class compression ratios reducing storage and accelerating performance
• Open platform for AI on real-time data, enabling agentic analytics
• Seamless integration with a wide ecosystem of tools and services
• Flexible deployment options: Cloud, open-source, and local
• Pay-only-for-what-you-use pricing philosophy with automatic scaling
• Ability to handle petabyte-scale data with millisecond queries
• Column-oriented architecture optimized for OLAP scenarios
• Concurrent inserts isolated from each other and from SELECT queries
• Merge-time computation for faster user queries and incremental aggregation
• Data pruning techniques (primary key indexes) for faster access
• ClickPipes for turn-key data ingestion pipelines
• User Defined Functions (UDFs) to invoke models at insert or query time
• Materialized Views for seamless data transformations
• Strong compliance and deployment controls for regulated institutions (SOC 2, ISO 27001, PCI DSS, HIPAA, GDPR)
• Bring Your Own Cloud (BYOC) for data residency and compliance requirements
• Open data and AI stack with no vendor lock-in (ClickHouse, LibreChat, MCP, Langfuse)
• High-throughput, low-latency engine purpose-built for AI agent workloads

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.