List of ClickHouse Customers
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Since 2010, our global team of researchers has been studying ClickHouse customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased ClickHouse for Database Management, Open-Source Database from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using ClickHouse for Database Management, Open-Source Database include: Yandex, a Russia based Professional Services organisation with 28992 employees and revenues of $7.46 billion, Cloudflare, a United States based Professional Services organisation with 4263 employees and revenues of $1.67 billion, Klaviyo, a United States based Professional Services organisation with 2316 employees and revenues of $937.0 million, Seon Technologies, a United Kingdom based Professional Services organisation with 300 employees and revenues of $50.0 million and many others.
Contact us if you need a completed and verified list of companies using ClickHouse, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The ClickHouse customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Cloudflare | Professional Services | 4263 | $1.7B | United States | ClickHouse | ClickHouse | Database Management,Open-Source Database | 2017 | n/a | In 2017 Cloudflare implemented ClickHouse as the core of its HTTP and DNS analytics pipeline, leveraging ClickHouse as a Database Management,Open-Source Database to deliver both customer-facing analytics and internal monitoring. The ClickHouse deployment was configured to provide real-time zone-level analytics at internet scale and to sustain extremely high ingestion rates. The implementation emphasized high-throughput ingestion and OLAP query capability, with ClickHouse handling millions of inserts per second and supporting real-time aggregation and drilldown for HTTP and DNS telemetry. Operational configuration aligned with columnar storage, partitioning and compression strategies typical of large scale open-source database deployments to optimize storage and query performance. The system was deployed from the United States and extended globally across Cloudflare datacenters to ensure local zone-level analytics and low latency access to telemetry. Cloudflare moved analytics workloads away from an older Postgres Citus pipeline into ClickHouse, consolidating the analytics data path for both external customer dashboards and internal operational monitoring. Governance and rollout focused on integrating ClickHouse into existing telemetry ingestion and dashboarding workflows, with operational ownership across network engineering and analytics teams. The migration to ClickHouse materially reduced storage and operational cost as reported, while providing the scale required for Cloudflare's multi-region analytics footprint. | |
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Klaviyo | Professional Services | 2316 | $937M | United States | ClickHouse | ClickHouse | Database Management,Open-Source Database | 2022 | n/a | In 2022, Klaviyo rebuilt its segmentation and personalization engine on ClickHouse. The US based implementation runs a large ClickHouse cluster of 192 nodes to enable real time marketing and CRM segmentation at massive scale. Klaviyo implemented ClickHouse as a Database Management,Open-Source Database to centralize segment evaluation into a single ClickHouse backed pipeline, consolidating a multi system architecture into unified processing. The implementation focused on real time segment evaluation and personalization capabilities, configuring ClickHouse for high concurrency OLAP style queries and fast columnar reads typical of Database Management,Open-Source Database platforms. The 192 node cluster architecture supports sustained throughput and low latency evaluation across Klaviyo's marketing and CRM workflows, operating from a US based environment. Operational coverage includes real time segmentation for marketing automation, CRM targeting and personalization pipelines, centralizing query workloads that had previously been distributed. Governance shifted to a single data pipeline and centralized evaluation processes to enforce consistent segment definitions and rollout across marketing and CRM teams. The ClickHouse deployment reduced segment evaluation from hours to seconds and delivered significant infrastructure cost savings as reported, while consolidating compute and storage onto the ClickHouse cluster. | |
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Seon Technologies | Professional Services | 300 | $50M | United Kingdom | ClickHouse | ClickHouse | Database Management,Open-Source Database | 2024 | n/a | In 2024, Seon Technologies implemented ClickHouse as a Database Management,Open-Source Database to accelerate its anti-fraud and AML platform used across its operations in Austin, London, Budapest, and Singapore. The implementation responded to rapidly growing transaction volumes and the need for sub second latency for complex rule sets, where enterprise customers can run up to 1,000 customized rules during real time screening and analytics. The deployment leveraged ClickHouse Cloud, the column oriented OLAP database, to support SEON’s core screening scans and an intensive clone search workflow that uncovers linked fraud activity. The project focused on schema design for high cardinality event data, column compression for storage efficiency, and query optimization to support machine learning driven risk scoring and near real time digital footprint assembly. The initial optimization engagement was completed in six months. Operationally the ClickHouse database runs on AWS, with Amazon Elastic Compute Cloud used for compute and Amazon Elastic Kubernetes Service used to orchestrate and manage EC2 instances. Engineers provisioned clusters through the managed ClickHouse Cloud service which reduced operational overhead and removed the need for extensive internal database engine retraining, enabling faster provisioning and iterative performance tuning. Governance and rollout emphasized a close engineering partnership with ClickHouse and collaboration with an AWS solution architect, creating a proactive feedback loop for performance tuning and roadmap alignment. Tests and customer load simulations produced explicit outcomes, including up to 80 percent faster database performance for screening, up to 50 times faster responses for customers with simple rule sets, and approximately 30 percent lower data storage costs, while sustaining lower latencies under heavy iGaming style traffic. | |
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Professional Services | 28992 | $7.5B | Russia | ClickHouse | ClickHouse | Database Management,Open-Source Database | 2009 | n/a |
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Buyer Intent: Companies Evaluating ClickHouse
- Duitdo-It Jobs Anytime Anywhere, a Malaysia based Professional Services organization with 260 Employees
- T. Rowe Price, a United States based Banking and Financial Services company with 8084 Employees
- American Coradius International, a United States based Banking and Financial Services organization with 200 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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