Start here for the decision-making essentials: what ClickHouse does, who it is for, how it is accessed, and the first-party sources behind this profile.
Pricing1 plans
ClickHouse Cloudper month
$50/month
starting price for the managed cloud service
Platforms
Virtual (Online) event
API accessNot public
FoundedNot disclosed by source
AvailabilityWeb / remote
LicenseOpen-source (with a managed ClickHouse Cloud offering)
Best suited to
Source-backed fit
Teams needing real-time analytical SQL queries over large,… Organizations running petabyte-scale logging and analytics workloads Engineering teams replacing OLTP databases for live, customer-facing query… Users wanting flexible deployment—self-managed on MacOS, Linux, or…
Data & analytics · Tool
ClickHouse
Decision-ready
ClickHouse is a fast open-source column-oriented database management system that allows generating analytical data reports in real-time using SQL queries
Short answers to the questions buyers and builders commonly ask about ClickHouse. Each answer cites the shared ledger below, where every source is listed once.
01What does ClickHouse say it can do?
Real-time analytical queries via SQL on a column-oriented DBMS · Separate scaling of storage and compute · Purpose-built table engines handle frequent updates without sacrificing analytical query p · VersionCollapsingMergeTree table engine handles deletions via +1/-1 row signs to avoid tab
ClickHouse is a fast open-source column-oriented database management system that allows generating analytical data reports in real-time using SQL queries
Database management, analysis and reporting (Cloud Services) · Petabyte-scale centralized logging platform (50PB at trip.com), migrating workloads from E · Large-scale analytical workloads in production environments
Our SaaS offerings are variously used for database management, analysis and reporting (the "Cloud Services'').
04What should teams verify before adopting ClickHouse?
clickhouse-local is not suitable for serving end users or applications; use open-source Cl
While clickhouse-local is a great tool for development and testing purposes, and for processing files, it is not suitable for serving end users or applications.
This profile connects the jobs ClickHouse is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.
Common use cases
Real-time analytical data reports via SQL on column-oriented storage
Database management, analysis and reporting through ClickHouse Cloud Services
Petabyte-scale centralized logging platforms such as trip.com's 50PB system
Operational data management and real-time analytics with ClickHouse Managed Postgres
Live, customer-initiated query serving as a fast search engine
Database management, analysis and reporting (Cloud Services)
Each fact points to a recorded source, making it easy to distinguish verified product information from claims that need checking.
Official website
HTTP 200 verified twice
First-party description
Fast Open-Source OLAP DBMS | ClickHouse
Source-supported facts
Fast open-source column-oriented database management system for real-time SQL analytical r · Runs on MacOS, Linux, and FreeBSD · Runs locally or in the cloud; self-managed or managed
Capability
Real-time analytical queries via SQL on a column-oriented DBMS
Open source
Open-source database and DBMS
Platform
MacOS, Linux, and FreeBSD installation support
Deployment
Runs on local machine or in the cloud; self-managed or managed
Pricing
ClickHouse Cloud starts at $50/month
View 32 more verified facts
Capability
Separate scaling of storage and compute
Integration
Ecosystem of integrations for data ingestion, visualization, and language clients
Support
Support tiers Trial, Basic, Scale, and Enterprise with Sev-1 24x7 response of 1 hour (Scale) and 30 minutes (Enterprise)
Company
ClickHouse, Inc.
Practical capabilities
What it helps with
8 documented areas
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
Use case
Real-time analytical data reports via SQL on column-oriented storage
Use case
Database management, analysis and reporting through ClickHouse Cloud Services
Use case
Petabyte-scale centralized logging platforms such as trip.com's 50PB system
Use case
Operational data management and real-time analytics with ClickHouse Managed Postgres
Use case
Live, customer-initiated query serving as a fast search engine
Use case
Database management, analysis and reporting (Cloud Services)
Use case
Petabyte-scale centralized logging platform (50PB at trip.com), migrating workloads from E
Use case
Large-scale analytical workloads in production environments
Availability
Where it runs and where to get it
Source checked
Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.
Cost / license
ClickHouse Cloud starts at $50/monthOpen-source (with a managed ClickHouse Cloud offering)Open-source database and DBMS
DeploymentRuns on local machine or in the cloud; self-managed or managed · Managed cloud service (ClickHouse Cloud) with optional support and professional services · Self-managed open-source installation or ClickHouse Cloud managed service
LicenseOpen-source database and DBMS
Model supportNot disclosed by source
Data controlClickHouse Cloud authentication via API keys (recommended, scoped read-only or read/write,
Learning curveIntermediate
Primary use casesReal-time analytical data reports via SQL on column-oriented storage, Database management, analysis and reporting through ClickHouse Cloud Services, Petabyte-scale centralized logging platforms such as trip.com's 50PB system, Operational data management and real-time analytics with ClickHouse Managed Postgres, Live, customer-initiated query serving as a fast search engine, Database management, analysis and reporting (Cloud Services), Petabyte-scale centralized logging platform (50PB at trip.com), migrating workloads from E, Large-scale analytical workloads in production environments
What to verify before adopting
clickhouse-local is not suitable for serving end users or applications; use open-source Cl
Evolution and major updates
ClickHouse timeline
A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.
12 dated updates
Latest first · exact dates
Showing the newest updates and meaningful milestones. Open an entry for its summary and source.
Release note
ClickHouse launches ClickHouse Labs with Andy Pavlo as VP of Database Research
Open details
ClickHouse established ClickHouse Labs, a new database research group led by Andy Pavlo, who joined as Vice President of Database Research to build a team advancing database systems.
ClickHouse announced as Principal Partner and Front of Shirt Sponsor of Fulham Football Club
Open details
ClickHouse became the Principal Partner and Front of Shirt Sponsor for Fulham Football Club's Men's First Team, expanding its global sponsorship presence in 2026.
ClickHouse tops $250M ARR, reaches 4,000 customers, launches Claude-powered agents at Open House 2026
Open details
At Open House 2026, ClickHouse reported serverless cloud ARR surpassing $250M (3x year-over-year), reached 4,000 total customers with 1,000+ added since January 2026, and introduced Claude-powered AI agents.
ClickHouse launches Langfuse AI observability platform in Japan
Citation ledger
Recorded sources
20 unique pages
Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.
1clickhouse.com 9 facts · 2 answers · 1 pricing record · 1 snapshot source · Official site
These tools share a workflow, capability or audience with ClickHouse. They may complement it rather than replace it, and are not presented as integrations or endorsements.
Database management, analysis and reporting (Cloud Services)
Deployment
Managed cloud service (ClickHouse Cloud) with optional support and professional services
Integration
Over 100 integrations across language clients, data ingestion, SQL clients, and data visualization
Integration
ClickPipes managed integration engine for ingesting data from sources such as Kafka, Amazon Kinesis, Amazon MSK, Amazon S3, Azure Blob Storage, Azure Event Hubs, Confluent Cloud, DigitalOcean Kafka, DigitalOcean Spaces, Google Cloud Storage
Integration
Supports data ingestion from Apache Airflow, Apache Beam, Apache Flink, Cassandra, Fivetran, Hudi, Iceberg, MinIO, NATS, RabbitMQ, Redis, SQLite, and others
Capability
Purpose-built table engines handle frequent updates without sacrificing analytical query performance, including ReplacingMergeTree for update-heavy workloads
Capability
VersionCollapsingMergeTree table engine handles deletions via +1/-1 row signs to avoid table bloat
Capability
Supports refreshable materialized views to provide fast, queryable versions of data
Program
ClickHouse Labs research group announced August 3, 2026, led by Andy Pavlo as Vice President of Database Research
Best for
Real-time analytical workloads over large, frequently-updated datasets (e.g., replacing Postgres for live customer-facing queries)
Company
ClickHouse builds industry-leading real-time analytics and has employees in over 10 countries
Company
Langfuse is now part of the ClickHouse team, with hiring in Europe and San Francisco
Company
ClickHouse offers ClickHouse Managed Postgres for operational data and real-time analytics
Capability
Uses SQL as its query language
Capability
Columnar storage model with data sorted via an ORDER BY key, enabling a sparse index for fast filtering
Capability
vectorized query execution
Capability
High compression rates and high insertion throughput
Capability
Supports the SharedMergeTree table engine feature
Capability
ReplicatedMergeTree engine with ZooKeeper-style replication paths for sharded tables
Capability
ZSTD column codec available for compression (saving over 40% of storage costs)
Use case
Petabyte-scale centralized logging platform (50PB at trip.com), migrating workloads from Elasticsearch
Integration
Integrates with third-party tools and services to build data pipelines and analytics workflows, organized by support level
Application type
OLAP database
Deployment
Self-managed open-source installation or ClickHouse Cloud managed service
Use case
Large-scale analytical workloads in production environments
Capability
Replication, sharding, and high availability for scaling to large datasets
Capability
Storage layer indexing: primary key indexes, table projections, and skipping indexes for fast query filtering
Open details
ClickHouse Japan began general availability of the Langfuse AI observability platform, integrating real-time data infrastructure with AI agent monitoring.
ClickHouse launches 'House Mates' partner program in Japan
Open details
ClickHouse launched 'House Mates', a new partner program in Japan, to build a partner ecosystem accelerating real-time data adoption among Japanese enterprises in 2026.
ClickHouse announces Japan entity establishment with Japan Cloud partnership
Open details
ClickHouse established its Japan subsidiary in partnership with Japan Cloud to accelerate adoption of real-time analytics infrastructure for Japanese businesses.
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