Brand Intelligence Graph
Company Overview
About ClickHouse Cloud
ClickHouse Cloud is the fully managed cloud service built on ClickHouse, the open-source columnar database originally developed at Yandex and now one of the fastest-growing analytical databases in the world. ClickHouse's column-oriented storage format and vectorized query execution engine are engineered for analytical queries over billions of rows, routinely delivering sub-second response times on aggregation and filtering workloads that would take minutes in traditional row-oriented databases. The cloud service abstracts infrastructure management — provisioning, scaling, backups, and upgrades — while preserving full compatibility with the open-source ClickHouse interface and SQL dialect.
Business Model & Competitive Advantage
The platform is purpose-built for observability, product analytics, time-series analysis, and log management use cases where query latency directly impacts user experience. ClickHouse Cloud supports elastic scaling that adjusts compute resources based on query demand, enabling cost-efficient operation for workloads with variable query volumes. Its shared-nothing distributed architecture allows horizontal scaling to handle growing data volumes, and its native support for semi-structured data types makes it well-suited for event and log data that does not fit neatly into a fixed schema.
Competitive Landscape 2025–2026
ClickHouse Cloud targets engineering and data teams at technology companies building real-time analytics products, observability platforms, and user-facing dashboards where query speed at scale is a hard requirement. The company competes with Snowflake, BigQuery, and purpose-built observability databases like Splunk and Elasticsearch, differentiating through raw query performance and cost efficiency at high data volumes. ClickHouse Inc. has raised over $300M in funding and has accumulated a large open-source community of tens of thousands of deployments worldwide that feeds commercial adoption of the cloud offering.
Recent Activity
View all →## What's Changed * chore(Grid): migrate to CSS Modules with visual regression baseline by @DreaminDani in https://github.com/ClickHouse/click-ui/pull/1119 * chore(Assets loaders): migrate to CSS Modules with visual regression baseline by @DreaminDani in https://github.com/ClickHouse/click-ui/pull/1135 * feat(DateRangePicker): add allowOnlyDatesList prop to restrict selectable dates by @yashpreetbathla in https://github.com/ClickHouse/click-ui/pull/1146 **Full Changelog**: https://github.com/ClickHouse/click-ui/compare/0.8.0...0.9.0
<!-- AI-generated summary — please review before publishing --> v3.18.0 promotes ClickHouse's role-management resources — `clickhouse_role`, `clickhouse_role_assignment`, and the `clickhouse_roles` data source — to general availability, so you can manage custom RBAC roles and assignments without opting into alpha features. It also expands ClickPipes with exactly-once delivery for Kafka sources and new object-storage load controls (`skip_initial_load` / `start_after`), plus config-time validation that stops CDC pipes from being left outside Terraform state when scaling is misconfigured. Rounding things out, there's a new GCP Private Service Connect example and further hardening of the alpha Managed Postgres support. ## ✨ New Features - **Role management is now generally available**: the `clickhouse_role` and `clickhouse_role_assignment` resources and the `clickhouse_roles` data source have graduated out of alpha. You can define custom RBAC roles and assign them to users and API keys wit
## clickhouse-connect 1.4.2 Patch release with a single bug fix on top of 1.4.1. No new features and no breaking changes. **Bug Fixes** - Async inserts and queries with an in-memory body larger than 1 MiB no longer emit an aiohttp ResourceWarning about sending a large body directly with raw bytes. Bytes and string request bodies are now wrapped in an io.BytesIO so aiohttp writes them in chunks. This affects the async Arrow insert methods and any large raw insert or query body. Closes #850. **Full Changelog**: https://github.com/ClickHouse/clickhouse-connect/compare/v1.4.1...v1.4.2
## What's Changed * chore(Select): migrate Select family to CSS Modules with visual regression baseline by @DreaminDani in https://github.com/ClickHouse/click-ui/pull/1124 * chore(FileUpload): migrate to CSS Modules with visual regression baseline by @DreaminDani in https://github.com/ClickHouse/click-ui/pull/1121 * chore(EmptyButton): migrate to CSS Modules with visual regression baseline by @DreaminDani in https://github.com/ClickHouse/click-ui/pull/1105 * fix(Select): restore no-data row font and padding by @DreaminDani in https://github.com/ClickHouse/click-ui/pull/1132 * chore(Dropdown): migrate residual styled-components to CSS Modules by @DreaminDani in https://github.com/ClickHouse/click-ui/pull/1108 * fix(datetimerangepicker): fix date comparison so predefined dates get isSelected treatment by @hoorayimhelping in https://github.com/ClickHouse/click-ui/pull/1136 * chore(ContextMenu): migrate residual styled-components to CSS Modules by @DreaminDani in https://github.com/ClickHo
## What's Changed * feat(ButtonGroup): add iconOnly variant with icon button group tokens by @gjones in https://github.com/ClickHouse/click-ui/pull/1093 * docs: add AI policy by @vineethasok in https://github.com/ClickHouse/click-ui/pull/1090 * feat(Flyout): Add hasShadow prop to toggle box shadow by @gjones in https://github.com/ClickHouse/click-ui/pull/1095 * feat(portal-provider): Add portal layer provider by @kunalpanchal in https://github.com/ClickHouse/click-ui/pull/1080 * chore(deps): bump @h6s/calendar to 2.2.0 and drop unused date-fns by @vineethasok in https://github.com/ClickHouse/click-ui/pull/1089 * chore(Tabs): migrate to CSS Modules with visual regression baseline by @DreaminDani in https://github.com/ClickHouse/click-ui/pull/1084 * chore(Dialog): migrate to CSS Modules with visual regression baseline by @DreaminDani in https://github.com/ClickHouse/click-ui/pull/1087 * chore(MultiAccordion): migrate to CSS Modules with visual regression baseline by @DreaminDani in https
## clickhouse-connect 1.4.1 This is a patch release with two bug fixes. One restores correct Alembic autogenerate output for non-ClickHouse dialects after the ClickHouse integration is imported. The other completes the return-type annotations on the async client so callers running mypy in strict mode no longer get errors. ## What's Changed ### Bug Fixes - SQLAlchemy: importing the ClickHouse Alembic integration no longer changes Alembic autogenerate output for other database dialects. The ClickHouse renderers for `CreateTableOp`, `AddColumnOp`, and `DropTableOp` were registered as process-wide replacements with no dialect guard, because Alembic renderers have no per-dialect dispatch. Any non-ClickHouse autogenerate run in the same process then used the ClickHouse renderers, which dropped the `nullable` argument from columns whose nullability was not set explicitly and injected `cc_sqlalchemy` imports. The renderers now fall back to Alembic's built-in rendering for non-ClickHouse dialec
## Migration Notes - Node.js 26.x was added to the CI matrix, and Node.js 18.x is no longer supported. The `engines.node` floor of `@clickhouse/client` (previously `>=16`) and `@clickhouse/datatype-parser` (previously `>=18.0.0`) was raised to `>=20`. Node.js 20.x, 22.x, 24.x, and 26.x are supported and exercised in CI. - The `@clickhouse/client-common` package is deprecated. `@clickhouse/client` (Node.js) and `@clickhouse/client-web` (Web) no longer depend on it; the shared code is now bundled into each client package. Everything previously importable from `@clickhouse/client-common` should be imported from `@clickhouse/client` or `@clickhouse/client-web` instead. The `@clickhouse/client-common` package itself will no longer receive updates. ([#845]) - The `parseColumnType` function and its `SimpleColumnTypes` companion (exported from `@clickhouse/client`, `@clickhouse/client-web`, and `@clickhouse/client-common`) are deprecated and slated for removal in a future major version. They a
Frequently Asked Questions
Estimated Visibility Trend (Beta)
Simulated 8-week rolling score
Based on estimated brand signals. Historical tracking coming soon.
Similar Brands
Rockset
Rockset is a real-time analytics database company founded in 2016 by Facebook engineering veterans that built a cloud-native database optimized for sub-second SQL queries on live streaming and operati
MongoDB
MongoDB is a leading document-oriented NoSQL database company providing a flexible, developer-friendly data platform for modern applications that require horizontal scalability, flexible schemas, and
Confluent
Confluent is an enterprise data streaming platform built around Apache Kafka, providing fully managed Kafka infrastructure, stream processing, and data integration capabilities that enable real-time d
Informatica
Informatica is an enterprise cloud data management platform that provides a comprehensive suite of data management capabilities — data integration, data quality, data governance, master data managemen
Collibra
Collibra is a data intelligence platform that provides enterprise organizations with a unified environment for data catalog, data governance, data lineage, and data quality management — covering the f
Looker
Looker is a business intelligence and data analytics platform now part of Google Cloud — providing the LookML data modeling language, self-service exploration tools, embedded analytics, and natural la
Compare ClickHouse Cloud with Competitors
Side-by-side AI visibility scores, platform breakdown, and market position.
Claim This Profile
Are you from ClickHouse Cloud? Claim your profile to see full AI mention excerpts, get weekly visibility change alerts, and optimize how AI systems describe your brand.
Claim ClickHouse Cloud Profile →Track AI Visibility in Real Time
Monitor how ChatGPT, Gemini, Perplexity, and Claude mention ClickHouse Cloud vs competitors. Get alerts when AI recommendations shift.
Start Free Tracking →