Why Choose Linux Polska for ClickHouse Services?
- Architecture tailored to your requirements. We assess your data sources, data volumes and growth rates, latency requirements, concurrency, availability, and security needs. Based on these factors, we design a ClickHouse architecture aligned with your actual workloads.
- Database, infrastructure, and open-source expertise in one team. We treat ClickHouse as part of a broader data platform rather than as an isolated analytics engine.
- End-to-end deployment support. We support the full lifecycle, from initial assessment and Proof of Concept to architecture design, production deployment, and integration with your existing environment.
- Ongoing support after go-live. We help maintain, optimize, and evolve your ClickHouse environment as data volumes increase, workload patterns change, and business requirements develop.
EDB Postgres AI for ClickHouse
EDB Postgres® AI for ClickHouse combines open-source ClickHouse with enterprise-grade capabilities, including EDB-provided software packages, CVE vulnerability remediation, break/fix support, and defined SLA options.
As an EDB partner, Linux Polska helps organizations design, deploy, integrate, and operate ClickHouse environments tailored to their data, workload profile, and existing architecture.
Our ClickHouse Delivery Approach
1Assessment and Planning
We assess the existing environment, data sources, data characteristics, and operational and performance requirements. We identify where ClickHouse can address your needs and define a recommended architecture.
2Proof of Concept and Testing
We prepare a Proof of Concept, pilot deployment, or performance tests using representative data sets and queries.
3Solution Validation
We validate the initial assumptions, review test results, and determine infrastructure requirements and the appropriate scaling model.
4Production Deployment
We build and configure the ClickHouse environment, integrate it with the existing data architecture, and implement the required availability, security, and monitoring mechanisms.
5Support and Continuous Improvement
We help operate, update, and optimize the environment. As data volumes and workload patterns change, we adapt the architecture to meet new requirements.
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What You Should Know About Our ClickHouse Support?
Our ClickHouse services are designed for organizations that:
- process large and rapidly growing data volumes,
- require low-latency analysis of newly generated data,
- are building observability, log and telemetry analytics, IoT, or fraud detection platforms,
- already use PostgreSQL and want to add a high-performance real-time analytics layer,
- are planning a new analytics platform based on open-source technologies,
- require professional ClickHouse support for production environments.
ClickHouse and Linux Polska support are worth considering when:
- analyzing a growing volume of events takes too long,
- decision-critical data needs to be available almost immediately after it is generated,
- the existing analytics architecture cannot keep pace with growing data volumes or query concurrency,
- additional data copies and integration pipelines are making the architecture increasingly complex,
- you need a scalable analytics layer for logs, telemetry, application events, or IoT data,
- you want to run ClickHouse in production with access to EDB support.
A well-designed ClickHouse environment can help you:
- analyze large volumes of fresh data with low latency,
- handle high event ingestion rates and growing query concurrency,
- build operational dashboards and analytics based on up-to-date data,
- integrate real-time analytics with your existing PostgreSQL ecosystem and data platforms,
- reduce architectural complexity through open standards and open-source technologies,
- scale the environment as data volumes and business requirements grow,
- use open-source ClickHouse with support designed for enterprise environments.
EDB Postgres AI for ClickHouse – Open Source with Enterprise-Grade Support
ClickHouse stores data in columns rather than traditional row-oriented structures. For many analytical queries, this means reading only the required columns instead of entire records. Combined with compression, partitioning, and parallel processing, this architecture enables efficient analysis of very large data sets.
EDB Postgres AI for ClickHouse is based on open-source ClickHouse. It is not a separate fork and it is not a managed SaaS service.
EDB provides supported software packages and images, CVE vulnerability remediation, break/fix support, and defined SLA options.
ClickHouse can run as a single instance or as a distributed cluster using sharding, replication, or both. In replicated environments, cluster coordination is provided by ClickHouse Keeper.
EDB also provides a Kubernetes operator that automates resource creation and configuration, upgrades, and operations related to scaling the ClickHouse environment.
Converged Analytics – Use the Right Engine for the Right Workload
Not every analytics workload has the same requirements. The EDB Postgres AI architecture enables organizations to combine technologies optimized for different data processing patterns.
PostgreSQL – Operational and Transactional Workloads
Within this architecture, PostgreSQL handles operational and transactional data used by business applications.ClickHouse – Real-Time Analytics
ClickHouse is designed for high-volume analysis of fresh event data, fast aggregations, operational dashboards, and environments with high ingestion rates.WarehousePG – Complex Analytics on Large Data Sets
WarehousePG is designed for large-scale analytics, complex queries and reports, large aggregations, and analytical workloads involving historical data.
ClickHouse and WarehousePG can operate within the same analytics architecture, allowing different workload types to be handled by the engine best suited to them.Apache Iceberg – A Shared Data Layer
Apache Iceberg provides an open data format that can be accessed by multiple analytics engines within a Converged Analytics architecture.
Within EDB Postgres AI, PostgreSQL data can be made available for analytics through Postgres Analytics Accelerator and Apache Iceberg. ClickHouse can query data available through an Iceberg catalog without first moving it into native ClickHouse tables.
This can reduce the need for additional data copies and dedicated integration pipelines.
Build a ClickHouse Environment Designed Around Your Data
Need faster analytics for logs, telemetry, or business events? Considering ClickHouse for a new analytics platform, or looking to improve the performance of an existing environment?
Start with an assessment of your use case. We will review your requirements, help define the right architecture, and support the deployment and integration of ClickHouse with your existing data ecosystem.
ClickHouse Use Cases
Observability and Log Analytics
Systems, applications, and infrastructure generate large volumes of logs, metrics, and telemetry. During an outage or incident, the value of this data depends heavily on how quickly teams can search, aggregate, and analyze it.
ClickHouse can provide a high-performance analytics layer for observability data, enabling fast aggregation and analysis across large event data sets.
For PostgreSQL environments, EDB also provides the pg_stat_ch extension, which can send PostgreSQL query execution telemetry to ClickHouse. This enables ClickHouse to analyze larger volumes of operational data generated by PostgreSQL databases.
Fraud Detection and Risk Analytics
In financial and transactional systems, analytical results may be required before a business process or transaction is completed.
ClickHouse can quickly aggregate fresh data and support systems that use information about previous events to calculate risk indicators and identify unusual behavior.
IoT and Telemetry Analytics
Devices, applications, and infrastructure components can generate continuous streams of measurement and event data.
ClickHouse is well suited to environments where large volumes of events are continuously ingested and analyzed with near-real-time latency.
Application and User Behaviour Analytics
Clicks, sessions, application events, A/B test results, and other behavioural data create large and rapidly growing data sets.
ClickHouse can provide the analytics layer for digital platforms, applications, and e-commerce environments where teams need to analyze recent user activity quickly.
Analytics for AI Applications and Agents
AI-enabled applications increasingly require access not only to historical data, but also to the current state of systems and business processes.
EDB provides a component compatible with the Model Context Protocol (MCP), enabling compatible AI clients or agents to connect to ClickHouse and query analytical data.
The integration can be configured according to the principle of least privilege. Write operations are disabled by default and must be explicitly enabled.
ClickHouse Consulting, Deployment and Support Services
Architecture Assessment and Design
We assess your existing environment, data characteristics, ingestion patterns, performance requirements, concurrency, and availability needs.
We then design a ClickHouse architecture aligned with the actual workload – from a single instance to a distributed cluster using sharding and replication.
Proof of Concept and Performance Testing
Before moving to production, we can validate ClickHouse using representative data sets and real-world queries.
A PoC allows you to assess response times, infrastructure requirements, data ingestion methods, and scaling potential before committing to the target architecture.
ClickHouse Deployment and Configuration
We install and configure EDB Postgres AI for ClickHouse and prepare the environment for production workloads.
We configure the cluster topology and key platform components according to performance, availability, and security requirements.
PostgreSQL and Data Platform Integration
We integrate ClickHouse with your existing data architecture, including PostgreSQL environments, WarehousePG, and solutions based on Apache Iceberg.
We help design data flows so that each engine handles the workloads it is optimized for, without introducing unnecessary architectural complexity.
ClickHouse on Kubernetes
We deploy ClickHouse in Kubernetes environments and use the EDB operator to manage the cluster lifecycle.
Automation can cover resource creation and configuration, upgrades, and scaling operations.
High Availability and Scaling
We design ClickHouse environments that can accommodate growing data volumes while meeting business continuity requirements.
Depending on the use case, we use sharding, replication, and ClickHouse Keeper to build multi-node clusters.
Performance Optimization and Tuning
We analyze the performance of existing ClickHouse environments and identify bottlenecks affecting ingestion rates or query execution.
Optimization may include:
- table design,
- partitioning and sorting keys,
- data ingestion methods,
- materialized views,
- SQL queries,
- infrastructure resource utilization.
Our objective is to achieve the performance required by the actual workload, rather than optimize solely for synthetic benchmark results.
Security and Updates
We help configure ClickHouse environments in line with your organization’s security requirements, including access controls and secure communication between components.
With EDB Postgres AI for ClickHouse, organizations gain access to supported packages, CVE vulnerability remediation, and vendor support according to the purchased service level.
Linux Polska complements EDB vendor support with architecture, deployment, configuration, integration, optimization, and ongoing operational services.
ClickHouse Support and Monitoring
We provide ongoing support for day-to-day operations, troubleshooting, updates, and performance optimization.
We help monitor the parameters that affect cluster availability, resource utilization, and performance, and support the continued evolution of the environment as workloads change.
How can we help you? Tell us about your needs.
FAQ – EDB Postgres AI for ClickHouse
ClickHouse is an open-source, column-oriented database management system designed primarily for OLAP workloads. It is built to analyze large data volumes, handle high ingestion rates, and perform fast aggregations.
EDB Postgres AI for ClickHouse is an enterprise-focused offering based on open-source ClickHouse.
EDB provides supported software packages and images, CVE vulnerability remediation, break/fix support, and defined SLA options.
It is neither a separate ClickHouse fork nor a managed service.
No. ClickHouse and PostgreSQL are designed for different types of workloads.
PostgreSQL is primarily used as a relational database for transactional systems and business applications, while ClickHouse is optimized for analytics across large data volumes.
Within the same architecture, the two technologies can complement each other.
ClickHouse is primarily optimized for analysis of fresh data, high ingestion rates, and fast aggregations.
WarehousePG is designed for more complex analytical workloads, including multi-table queries, large aggregations, advanced reporting, and analysis of large historical data sets.
Both can operate as components of a shared EDB Postgres AI architecture.
Yes. ClickHouse can connect to an Apache Iceberg catalog and query the data available there without first moving it into native ClickHouse tables.
The current ClickHouse integration with Iceberg catalogs is read-only. INSERT, UPDATE, and DELETE operations are not supported through this mechanism.
Yes. EDB provides a Kubernetes operator that supports resource creation and configuration, upgrades, and operations related to scaling the ClickHouse environment.
Linux Polska can design and deploy this environment and integrate it with your organization’s existing Kubernetes platform.
Yes. A Proof of Concept allows you to validate ClickHouse performance using real or representative data and queries, and to select the appropriate architecture before production deployment.
Yes. We can provide technical support, monitoring, consulting, updates, performance tuning, and assistance with the ongoing development of your ClickHouse environment.
