Clickhouse

Clickhouse

Open-source columnar OLAP database system

Overview

ClickHouse builds a fast, scalable database designed for analytics. It provides a column-oriented database system that stores data by column, which speeds up analytical queries and makes it well-suited for OLAP workloads. The software is available as open-source and can be deployed locally or in the cloud, and the company also offers a fully managed ClickHouse service on AWS, Google Cloud, and Azure. This combination gives users a low-cost, easy-to-manage option for large-scale data processing. ClickHouse differentiates itself from many competitors with its high performance on analytical queries, open-source model, and the added option of a managed cloud service. The company’s goal is to help developers and businesses analyze large datasets quickly and cost-effectively by providing a fast, easy-to-use, and scalable data management solution.

About Clickhouse

Simplify's Rating
Why Clickhouse is rated
B+
Rated B on Competitive Edge
Rated A on Growth Potential
Rated B on Differentiation

Industries

Data & Analytics

Enterprise Software

Company Size

501-1,000

Company Stage

Late Stage VC

Total Funding

$1.1B

Headquarters

Palo Alto, California

Founded

2021

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Simplify's Take

What believers are saying

  • January 2026’s $400 million Series D valued ClickHouse at $15 billion.
  • May 2026 ARR crossed $250 million, with 4,000 customers and 1,000 net adds.
  • New integrations with bitdrift, Hud, and Herald expand observability and agentic AI demand.

What critics are saying

  • Databricks, Snowflake, and Postgres vendors target ClickHouse’s analytics and cloud workload budget.
  • Cloudflare’s 2026 query-planning patch proved performance bottlenecks still surface in production.
  • AWS, Google, and Microsoft can bundle enough features to commoditize ClickHouse Cloud.

What makes Clickhouse unique

  • ClickHouse’s columnar engine still wins real-time analytics on heavy concurrency and high-cardinality telemetry.
  • Andy Pavlo’s August 2026 ClickHouse Labs deepens the database moat with open research.
  • House Mates now spans 60-plus partners, turning ClickHouse into a platform ecosystem.

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Funding

Total Funding

$1.1B

Above

Industry Average

Funded Over

4 Rounds

Late VC funding comparison data is currently unavailable. We're working to provide this information soon!
Late VC Funding Comparison
Coming Soon

Benefits

Health Insurance

Unlimited Paid Time Off

Flexible Work Hours

Remote Work Options

Stock Options

Home Office Stipend

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

0%

2 year growth

-1%
SiliconANGLE Media
Aug 18th, 2026
Ciklum partners with ClickHouse to speed enterprise migrations to real-time analytics.

Ciklum partners with ClickHouse to speed enterprise migrations to real-time analytics. Experience engineering firm Ciklum Group Ltd. today announced a partnership with database management company ClickHouse Inc. intended to speed up enterprise migrations onto the company's open-source analytics database. Ciklum joins the ClickHouse partner program House Mates as a featured launch partner. The target is companies that want artificial intelligence agents and customer-facing dashboards querying live data. Overnight batch reporting is what those buyers are trying to leave behind. What Ciklum brings is delivery work, not software. The firm has assembled a set of ClickHouse accelerators that open with an assessment of which workloads would gain most from a move off a legacy data platform. Production deployment follows. Rolling the pattern out across the rest of the business comes after that. Ciklum said the engagements are built to fit a customer's existing cloud accounts, continuous integration pipelines and governance rules. Reusable code is handed over without a proprietary platform sitting underneath it. Agentic AI is the reason both companies give for the tie-up. Software agents issue far more queries than human analysts do, and they issue them constantly. ClickHouse sells a column-oriented database for online analytical processing, and its pitch has always been query speed under heavy concurrency. "Enterprises today aren't just chasing real-time insights, they're racing to operationalize AI, from real-time agents to large-scale inference, all while keeping analytics costs in check," said Kevin Egan, chief revenue officer at ClickHouse. "The hardest part is rarely the proof of concept, it's getting to production with confidence." Ciklum Chief Executive Raj Radhakrishnan noted that every enterprise client is under pressure to implement AI faster without loosening its grip on data governance, before adding that the ClickHouse relationship was a "proven, low-risk path" to the scale that real-time analytics and AI workloads demand. ClickHouse has been busy this year. Dragoneer Investment Group led a $400 million Series D round for the company in January. The round valued ClickHouse at $15 billion. ClickHouse also acquired Langfuse GmbH that month. The German startup makes open-source monitoring tools for large language model applications. House Mates opened in May with more than 60 software and services partners across three tiers. ClickHouse said then that its managed cloud service had passed 4,000 customers. Tanya Bragin, vice president of product and marketing at ClickHouse, spoke with theCUBE, SiliconANGLE Media's livestreaming studio, in June, where she discussed how the company was bringing real-time analytics to agentic AI. Image: Ciklum. A message from John Furrier, co-founder of SiliconANGLE: Support its mission to keep content open and free by engaging with theCUBE community. Join theCUBE's Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities. * 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more * 11.4k+ theCUBE alumni - Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network Are you an AWS customer? Support SiliconANGLE financially by buying your AWS services from its Marketplace portal page and links: https://siliconangle.com/aws-marketplace/. About SiliconANGLE Media. SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE, theCUBE Network, theCUBE Research, CUBE365, theCUBE AI and theCUBE SuperStudios - with flagship locations in Silicon Valley and the New York Stock Exchange - SiliconANGLE Media operates at the intersection of media, technology and AI. Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Its new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.

SYMEX ECONOMICS SA
Aug 13th, 2026
ClickHouse and Hud connect the dots between AI code, production data and engineering decisions.

ClickHouse and Hud connect the dots between AI code, production data and engineering decisions. New York, USA, August 13th, 2026, FinanceWire The promise of AI-powered development has largely centered on speed. Coding agents can generate changes quickly, allowing engineering teams to increase the amount of software they produce. But faster code generation also creates a new pressure point: teams need to understand those changes quickly enough to decide whether they belong in production. Hud says AI now generates or assists with 42% of the code developers ship, with that figure expected to reach 65% by 2027. The company's new integration with ClickHouse is built around the idea that production behavior can provide some of the context needed to manage that acceleration. The integration connects ClickStack, ClickHouse's open-source observability stack, with Hud's Runtime Code Sensor. Rather than treating observability as a separate troubleshooting function, the companies are connecting it with workflows for assessing, releasing, and fixing AI-generated software. From Infrastructure Signals to Code-Level Context The distinction between the two platforms is central to the integration. ClickStack provides broad visibility across applications and infrastructure, helping teams determine the service, deployment, or endpoint associated with an issue. Hud operates at the code layer, following function-level behavior and connecting production activity to the changes behind it. Shared trace IDs allow a coding agent to connect the two systems. An engineering team investigating an issue in ClickStack can move directly toward the corresponding code-level context in Hud. "Our users already trust ClickHouse to store and query their Open Telemetry data at scale," said Mike Shi, Head of Observability of ClickHouse. "The shift now underway is from simply watching systems or investigating issues to using that data to make day-to-day engineering decisions. Hud connects observability data to the code and changes behind it, making the entire stack more useful for teams building and shipping software with AI." That approach expands the role of production data. Instead of becoming useful only after a deployment goes wrong, runtime information can help inform decisions about changes before they are released. Making the Release Process More Dynamic The integration supports pre-deployment risk assessment for code changes. Teams can evaluate changes against real-time information about how affected code behaves in production, with higher-risk changes held for additional review and deeper context while safer changes can move faster or be automatically merged. The workflow continues after deployment. ClickHouse and Hud support release verification, automatic reversion upon regression, automated detection and investigation, and agentic workflows that can create pull requests to fix underlying issues. Rollback and remediation workflows are also part of the integration. That means the same connection can support several decisions around a single change: whether it should ship, whether it is behaving as expected after deployment, and what should happen if production behavior diverges from expectations. "AI is accelerating how quickly teams can generate code, but safely shipping it with high confidence requires production context," said May Walter, CTO of Hud. "Hud and ClickHouse bring real production behavior at an unparalleled breadth and depth, so teams can build a production-aware AI SDLC: gating changes before they ship, proactively verifying them once deployed, and fixing issues as they arise - all using real runtime truth. Together with ClickHouse, we are bringing that intelligence across the entire AI SDLC." The Case for a Production-Aware AI SDLC The practical use case becomes clearer when a seemingly small change produces an unexpected production result. A query can slow down, a function can behave differently under a particular workload, or a code path can consume more resources. Hud is designed to detect these issues at the function level and provide forensic context into their causes. ClickStack contributes the wider operational view, helping teams connect the code-level behavior to what is happening across the application. "Like every modern engineering organization, a growing share of our code is now written with AI," said Rom Kadria, Senior Software Engineer, monday.com. "We write code much faster, but the challenge has shifted to shipping just as quickly while maintaining confidence that new code won't cause harm. ClickHouse gives us the wide operational picture at scale, while Hud gives us the runtime intelligence and next-level introspection needed to evaluate and ship AI-generated code confidently. When issues do arise, combining ClickHouse and Hud allows us to triage and resolve them quickly. For a company building with AI, that combination is the obvious choice." Engineering teams can get started by installing the Hud SDK and connecting it to their ClickStack service. Hud's runtime intelligence then flows alongside the OpenTelemetry data teams already collect. The broader proposition is a shift in where production information sits within software development. As coding agents generate more of the code, ClickHouse and Hud are attempting to make real-world application behavior part of the feedback loop that determines how that code is reviewed, released, monitored, and repaired. Contact. Editorial team [email protected]

bitdrift
Aug 11th, 2026
bitdrift brings ClickHouse-powered mobile observability to ClickStack.

bitdrift brings ClickHouse-powered mobile observability to ClickStack. bitdrift has joined ClickHouse's House Mates program as a mobile observability partner for ClickStack. The integration connects rich device-side context with backend traces through shared OpenTelemetry trace IDs. Reposted with permission from the ClickHouse blog. Today, bitdrift, Inc. is announcing that bitdrift has officially joined House Mates as a mobile observability partner for ClickHouse, bringing mobile-native telemetry, tracing, and debugging to ClickStack. ClickStack gives engineering teams an out-of-the-box observability solution built on ClickHouse that collects, stores, and queries observability data across backend services, web frontends (including session replay), and infrastructure. bitdrift extends that foundation to the mobile device, where many of the hardest production issues actually start. Used together, ClickStack and bitdrift give engineering teams a continuous view, from what a user did on their phone to the backend services that handled the request. What is ClickStack? ClickStack is ClickHouse's open source observability stack. It has three core components: * ClickHouse - the column-oriented database that stores and queries observability data. * ClickStack UI (HyperDX) - the UI for searching, visualizing, correlating, and alerting on that data. * OpenTelemetry collector, for standardized collection of logs, metrics, and traces, and receiving events over OpenTelemetry Protocol (OTLP). ClickStack stores observability signals as rich, queryable events in ClickHouse. The columnar design and parallel query engine suit high-cardinality workloads like large volumes of distributed traces and application logs. Teams can correlate signals, inspect individual traces, build dashboards and alerts, and run fast searches across large datasets, all from one platform. The observability stack is available as an open source deployment or as a managed offering on ClickHouse Cloud. Either way, telemetry comes in through the OpenTelemetry Collector using OTLP over HTTP or gRPC. What is bitdrift? bitdrift is a dynamic observability platform built specifically for mobile applications. It also has three core components: * The Capture SDK, a lightweight library for iOS, Android, and React Native, built in Rust with thin platform-specific wrappers, that writes telemetry to a fixed-size ring buffer on the device rather than streaming it off immediately. * The control plane, which maintains a persistent bidirectional connection to every client and pushes new configuration in real time, deciding what gets collected and what gets uploaded. * The bitdrift platform, where workflows, session timelines, charts, issues, and alerts turn that mobile telemetry data into answers, accessible through the web UI, CLI, AI agents, and a public API. bitdrift keeps mobile telemetry at the edge until it's requested, uniquely allowing teams to query full session data on demand. Everything is captured on device and stored unsampled, so engineers can rewind the full session that led to a performance issue or crash, study user journeys and behavior, or dig into any other mobile observability question, instead of working from sampled datasets. bitdrift is designed for agentic control, allowing all instrumentation, investigation, and remediation for mobile to be driven by AI. As a result, bitdrift customers report lower mobile MTTR and fast discovery/diagnosis of performance and stability issues that other tools cannot find. The bitdrift Capture platform is available as bitdrift-hosted SaaS or as a bring-your-own-cloud (or bucket) deployment in your AWS account. How bitdrift and ClickStack work together. The bitdrift and ClickStack integration can connect two views of the same production event through a shared trace ID: * bitdrift shows what happened on the device: user actions, app state, network requests, logs, errors, crashes, performance signals, and the surrounding session context. * ClickStack shows what happened once the request reached the backend: distributed traces, service dependencies, logs, metrics, database operations, and infrastructure behavior. * OpenTelemetry trace context ties the two together. An investigation might start with a failed checkout, a slow screen load, an auth error, or a crash in bitdrift. From the network request, an engineer follows the trace ID into the ClickStack UI, powered by HyperDX, and watches the request move across backend services. No more lining up timestamps across two disconnected tools; go straight from the affected user experience to the backend path that produced it. bitdrift Capture itself also makes heavy use of ClickHouse for event storage, allowing it to scale to billions of devices and making this integration a natural fit. See mobile-to-backend tracing in action. In its demo, a mobile shopping app talks to the official OpenTelemetry Demo backend. It starts with the mobile experience in bitdrift. From the session timeline, an engineer picks out the relevant network request and its trace ID. That context follows the request into the OpenTelemetry-instrumented backend, where the full distributed trace is available in the ClickStack UI. The result is one continuous debugging path across the mobile client, APIs, backend services, and downstream dependencies, with no manual reconstruction from scattered timestamps. Watch the front-to-back tracing demo: Example mobile configuration for tracing. Setup varies by platform and by whether you self-manage ClickStack or run it on ClickHouse Cloud, but the overall process is straightforward. On Android, enable bitdrift's OkHttp networking and tracing integrations: kotlin import io.bitdrift.capture.network.okhttp.CaptureOkHttpEventListenerFactory import io.bitdrift.capture.network.okhttp.CaptureOkHttpTracingInterceptor import okhttp3.OkHttpClient val client = OkHttpClient.Builder .addInterceptor(CaptureOkHttpTracingInterceptor .eventListenerFactory(CaptureOkHttpEventListenerFactory .build. On iOS, tracing runs through bitdrift's existing URLSession integration. bitdrift timeline events and spans show a View Trace link that carries the captured trace ID into ClickStack. Closing the mobile observability gap with one connected view. Observability shouldn't start at the API gateway when the user's experience starts on a device. Most observability platforms were built around servers, containers, and short-lived backend requests, but mobile presents a different problem. A session can run for hours, move between networks, drop offline, hit device-specific resource limits, and generate far more diagnostic context than any app could stream continuously. Traditional mobile tools handle this by collecting a fixed set of signals and sampling away the rest. The catch? The session you need is usually the one that got dropped. bitdrift Capture and ClickStack close that gap from both directions. On the device, bitdrift records rich telemetry locally and pulls the full session when something meaningful happens, so teams get complete mobile context without shipping every event from every device. Once a trace ID crosses into the backend, ClickStack's columnar storage and OpenTelemetry-native design hold up under the high-cardinality, high-volume querying that distributed tracing demands. Neither half of the system is left guessing, and no part of the user journey has to be reconstructed from scattered timestamps or partial data. bitdrift's mobile-native telemetry and selective tracing, paired with ClickStack's scalable OpenTelemetry backend, let teams investigate production issues from the user's device all the way through their distributed systems. Together, it brings true mobile-to-backend observability to ClickStack users. Interested in connecting mobile and backend observability? Contact bitdrift, Inc. to book a demo of the bitdrift and ClickStack integration. Learn more: * Check out the bitdrift sandbox to see what working with Capture is like. * Start a free trial to dive right into the product. * Check out the new documentation for more details on the integration between bitdrift and ClickHouse. Frequently asked questions. How can I get mobile observability on ClickHouse? bitdrift is a mobile observability integration partner, bringing mobile-native telemetry, tracing, and debugging to ClickStack. Teams add the bitdrift Capture SDK to their iOS, Android, or React Native app, and mobile requests correlate with backend traces in ClickStack through OpenTelemetry trace context, whether ClickStack is self-managed or run on ClickHouse Cloud. This gives engineering teams one continuous view from a user's mobile session through the backend services that handled the request. How does mobile tracing work between bitdrift and ClickStack? bitdrift adds W3C other tracing headers to mobile network requests and presents the resulting trace IDs in the mobile user's session timeline. Engineers can follow a trace ID from a bitdrift session directly into the ClickStack UI (powered by HyperDX), where the full backend trace is available. This removes the need to manually line up timestamps across separate mobile and backend tools. Do I need to change my ClickStack deployment to use bitdrift? No. The integration works whether ClickStack is self-managed or run as a managed offering on ClickHouse Cloud. Telemetry from bitdrift reaches the same OpenTelemetry Collector that ClickStack already uses. What mobile platforms does bitdrift support for tracing? bitdrift's Capture SDK supports iOS, Android, and React Native. On Android, tracing is enabled through bitdrift's OkHttp integrations (CaptureOkHttpTracingInterceptor and CaptureOkHttpEventListenerFactory). On iOS, tracing runs through bitdrift's existing URLSession integration. Both links capture trace IDs into ClickStack via a View Trace link on bitdrift timeline events and spans. Steve Lerner August 11, 2026

iTWire
Aug 5th, 2026
ClickHouse launches ClickHouse Labs with Andy Pavlo as VP of Database Research.

ClickHouse launches ClickHouse Labs with Andy Pavlo as VP of Database Research. Renowned database researcher will lead a new group dedicated to advancing foundational database technology and sharing its work openly with the broader community ClickHouse today announced the launch of ClickHouse Labs, a new research group led by Andy Pavlo, one of the database industry's most prominent researchers. Dr. Pavlo joins ClickHouse as Vice President of Database Research and will build a team dedicated to advancing the state of the art in database systems. Pavlo is an award-winning database researcher and professor at Carnegie Mellon University's Computer Science Department. He is known throughout the database community for his work on autonomous databases, transaction processing, and large-scale data analytics. At ClickHouse, he will bring that expertise to some of the most ambitious and consequential challenges facing modern data systems, as AI reshapes the demands placed on all data-intensive workloads. "At ClickHouse, we are interested in finding new and innovative ways of processing data, exploring efficient data structures and algorithms, and pushing computer hardware to its limits," said Alexey Milovidov, CTO of ClickHouse. "I'm thrilled that Andy Pavlo is joining ClickHouse as VP of Database Research and will lead our new research group, ClickHouse Labs." Advancing database technology in the open ClickHouse Labs will pursue foundational research across database and data architectures, query processing, systems performance, and infrastructure, for both ClickHouse and PostgreSQL databases. Advances in these underlying technologies will power the next generation of real-time analytics, data warehousing, observability, and AI applications. "The most exciting database research does more than describe a new idea in a paper. It demonstrates what is possible by building and testing real systems," said Pavlo. "ClickHouse has an exceptional engineering culture, a strong open-source community, and workloads that push database technology to its limits. ClickHouse Labs gives us an opportunity to take on difficult problems, evaluate them in real-world scenarios, and share what we discover with the broader community and ecosystem." Research that changes what is possible Before co-founding the company, Yury Izrailevsky, ClickHouse President of Product and Technology, served as VP of Engineering at Google, which has a long history of turning foundational research into industry-defining technology. Some of the clearest examples come from research that began with Google's own most demanding technical challenges. Google's Spanner paper (https://research.google/pubs/spanner-googles-globally-distributed-database-2/) introduced a new model for globally distributed databases, demonstrating that systems could operate at global scale while still supporting strongly consistent transactions. Years later, Attention Is All You Need (https://research.google/pubs/attention-is-all-you-need/) introduced the Transformer architecture, laying the foundation for modern large language models and today's paradigm-shifting era of AI. In both cases, research conducted within a company did more than solve an internal problem: it changed what was technically possible and gave the broader industry a new foundation to build on. ClickHouse Labs is founded on the same belief. By combining ambitious research with hands-on systems development, the team aims to advance ClickHouse and PostgreSQL while contributing new ideas and technologies to the broader database ecosystem. Researchers will build and test their ideas against demanding real-world workloads, work closely with ClickHouse engineers, and publish their findings in leading research venues so others can evaluate, extend, and build upon them. "Because ClickHouse is open source, ideas developed here can be tested, challenged, and extended by teams around the world," said Yury Izrailevsky, President of Product and Technology at ClickHouse. "ClickHouse Labs, under Andy's leadership, will spearhead our investment in foundational research, helping shape both the future of ClickHouse and the broader database industry." About Andy Pavlo Andy Pavlo is an Associate Professor with Indefinite Tenure in the Computer Science Department at Carnegie Mellon University. Since 2013, he has led the Carnegie Mellon Database Research Group. His work has received several of the database community's highest honours, including the IEEE TCDE Ramez Elmasri Database Education Award, VLDB Early Career Award, NSF CAREER Award, Sloan Research Fellowship, and ACM SIGMOD Jim Gray Best Dissertation Award in Databases. Pavlo previously co-founded and served as CEO of OtterTune, which applied machine learning to database optimisation. At ClickHouse, Pavlo will serve as VP of Database Research and lead the development of ClickHouse Labs, its research agenda, and its team. About ClickHouse 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. Customers include Sony, Tesla, Anthropic, Memorial Sloan Kettering, Lyft, and Instacart. More at https://clickhouse.com

The Montreal Gazette
Aug 3rd, 2026
ClickHouse launches ClickHouse Labs with Andy Pavlo as VP of Database Research.

ClickHouse launches ClickHouse Labs with Andy Pavlo as VP of Database Research. Renowned database researcher will lead a new group dedicated to advancing foundational database technology and sharing its work openly with the broader community SAN FRANCISCO - ClickHouse today announced the launch of ClickHouse Labs, a new research group led by Andy Pavlo, one of the database industry's most prominent researchers. Dr. Pavlo joins ClickHouse as... August 3, 2026 at 9:34 a.m. Renowned database researcher will lead a new group dedicated to advancing foundational database technology and sharing its work openly with the broader community SAN FRANCISCO - ClickHouse today announced the launch of ClickHouse Labs, a new research group led by Andy Pavlo, one of the database industry's most prominent researchers. Dr. Pavlo joins ClickHouse as Vice President of Database Research and will build a team dedicated to advancing the state of the art in database systems. Pavlo is an award-winning database researcher and professor at Carnegie Mellon University's Computer Science Department. He is known throughout the database community for his work on autonomous databases, transaction processing, and large-scale data analytics. At ClickHouse, he will bring that expertise to some of the most ambitious and consequential challenges facing modern data systems, as AI reshapes the demands placed on all data-intensive workloads. "At ClickHouse, we are interested in finding new and innovative ways of processing data, exploring efficient data structures and algorithms, and pushing computer hardware to its limits," said Alexey Milovidov, CTO of ClickHouse. "I'm thrilled that Andy Pavlo is joining ClickHouse as VP of Database Research and will lead our new research group, ClickHouse Labs." Advancing database technology in the open ClickHouse Labs will pursue foundational research across database and data architectures, query processing, systems performance, and infrastructure, for both ClickHouse and PostgreSQL databases. Advances in these underlying technologies will power the next generation of real-time analytics, data warehousing, observability, and AI applications. "The most exciting database research does more than describe a new idea in a paper. It demonstrates what is possible by building and testing real systems," said Pavlo. "ClickHouse has an exceptional engineering culture, a strong open-source community, and workloads that push database technology to its limits. ClickHouse Labs gives us an opportunity to take on difficult problems, evaluate them in real-world scenarios, and share what we discover with the broader community and ecosystem." Research that changes what is possible Before co-founding the company, Yury Izrailevsky, ClickHouse President of Product and Technology, served as VP of Engineering at Google, which has a long history of turning foundational research into industry-defining technology. Some of the clearest examples come from research that began with Google's own most demanding technical challenges. Google's Spanner paper introduced a new model for globally distributed databases, demonstrating that systems could operate at global scale while still supporting strongly consistent transactions. Years later, Attention Is All You Need introduced the Transformer architecture, laying the foundation for modern large language models and today's paradigm-shifting era of AI. In both cases, research conducted within a company did more than solve an internal problem: it changed what was technically possible and gave the broader industry an entirely new foundation to build on. ClickHouse Labs is founded on the same belief. By combining ambitious research with hands-on systems development, the team aims to advance ClickHouse and PostgreSQL while contributing new ideas and technologies to the broader database ecosystem. Researchers will build and test their ideas against demanding real-world workloads, work closely with ClickHouse engineers, and publish their findings in leading research venues so others can evaluate, extend, and build upon them. "Because ClickHouse is open source, ideas developed here can be tested, challenged, and extended by teams around the world," said Yury Izrailevsky, President of Product and Technology at ClickHouse. "With Andy leading ClickHouse Labs, we have an opportunity to pursue foundational research with the potential to shape both the future of ClickHouse and the broader database industry." About Andy Pavlo Andy Pavlo is an Associate Professor with Indefinite Tenure in the Computer Science Department at Carnegie Mellon University. Since 2013, he has led the Carnegie Mellon Database Research Group. His work has received several of the database community's highest honors, including the IEEE TCDE Ramez Elmasri Database Education Award, VLDB Early Career Award, NSF CAREER Award, Sloan Research Fellowship, and ACM SIGMOD Jim Gray Best Dissertation Award in Databases. Pavlo previously co-founded and served as CEO of OtterTune, which applied machine learning to database optimization. At ClickHouse, Pavlo will serve as VP of Database Research and lead the development of ClickHouse Labs, its research agenda, and its team. About ClickHouse 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. Customers include Sony, Tesla, Anthropic, Memorial Sloan Kettering, Lyft, and Instacart. More at clickhouse.com.

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