STRATEGIC TECHNOLOGY PARTNER · CLICKHOUSE
Design high-performance analytical applications with ClickHouse. Bassirah helps customers match deployment architecture, data modeling and operational design to real workload requirements.
Running self-managed ClickHouse OSS? See independent OSS support →
ClickHouse is one of Bassirah’s Strategic Technology Partners. Our relationship is subject to the applicable ClickHouse program and agreement. Implementation scope, resell rights and support entitlements are confirmed in each customer engagement.
WHY CLICKHOUSE
Use column-oriented analytics for high-volume event analysis, operational intelligence, observability and customer-facing analytical experiences.
ClickHouse is a column-oriented database designed for real-time analytics. It stores data by column, compresses it efficiently and processes queries in parallel, which makes it well suited to aggregations over very large event, log and time-series datasets. The result depends on design: table engines, sort keys, ingestion patterns and cluster topology determine whether a workload performs as intended.
That is where Bassirah focuses. We start from your queries, data volumes, concurrency and freshness requirements, then design the data model, deployment and operating procedures to meet them, and validate the outcome against agreed acceptance criteria.
WHAT BASSIRAH DELIVERS
Our ClickHouse engagements cover the full lifecycle, from architecture decisions to hardened production operations.
USE CASES
Solution concepts. Each design is validated against your workload.
Serve interactive dashboards and in-product analytics to many concurrent users, with tenant-aware data models and secure query access.
Ingest and analyze logs, metrics, traces and business events for operations, security and product teams.
Move heavy analytical queries away from transactional databases or legacy data warehouses, reducing contention and supporting modernization.
ARCHITECTURE DISCIPLINE
Most ClickHouse performance and reliability outcomes are decided early. We make these decisions explicit, document them and test them.
| Design area | What we decide | How we validate |
|---|---|---|
| Data model | Table engines, sort and primary keys, data types, denormalization and projections | Representative query set and data volumes |
| Ingestion | Batch sizes, insert frequency, streaming or CDC sources, deduplication approach | Sustained ingest test with merge behavior monitored |
| Pre-aggregation | Materialized views and rollup tables for frequent query shapes | Query latency and storage comparison before and after |
| Topology | Shards, replicas, ClickHouse Keeper placement and failure domains | Node and replica failure tests |
| Retention and storage | TTL rules, tiering to object storage where supported, partition strategy for data management | Storage growth and cost model at target retention |
| Operations | Backup and restore, monitoring, upgrade path, access control | Restore drill and upgrade rehearsal |
Bring your queries and data volumes. We will design a PoC with measurable success criteria.
CHOOSE YOUR SUPPORT ROUTE
ClickHouse appears in both of Bassirah’s portfolios. They are two procurement and support routes into related technology, with different commercial terms and responsibilities. Choose the one that fits your operating model, or ask us to compare them for your workload.
| Decision factor | Partner-led ClickHouse (this page) | ClickHouse OSS, independent support |
|---|---|---|
| Software | ClickHouse commercial offerings, per the customer's agreement | Self-managed community ClickHouse |
| Licensing and cost | Commercial subscription or consumption terms, subject to contract | Community license; infrastructure and engineering costs remain |
| Vendor support | Vendor-backed support where included in the customer's agreement | No vendor support, escalation or upstream SLA implied |
| Operations ownership | Shared between the provider's offering, the customer and Bassirah, as contracted | Customer, with Bassirah engineering and optional contracted managed support |
| Best fit | Workloads that need commercial assurances, managed options or licensed capabilities | Teams that want full control of topology, infrastructure and data |
| Bassirah's role | Architecture, integration, deployment, optimization and operations alongside the provider | Cluster design, tuning, upgrades, backups, DR runbooks and contracted operational support |
Available features depend on the selected deployment and entitlement. Bassirah does not make feature promises until the edition and contract are confirmed.
WORKS WELL WITH
ClickHouse fits best as a dedicated analytical serving layer. We connect it with complementary platforms where the workload justifies it.
Application acceleration and bounded result caching in front of analytical queries.
SQL transformations and tests, where the current adapter supports your ClickHouse version.
Metadata, ownership and lineage across ClickHouse tables and upstream sources.
Object-storage patterns for backups and lower-cost retention, where supported.
ClickHouse stores Langfuse trace analytics in supported self-hosted architectures.
SEE IT IN CONTEXT
From streaming data to decisions, with ClickHouse as the analytical serving layer.
ClickHouse holds normalized CDR and network facts for investigative and dashboard queries.
ClickHouse supports fraud investigation, monitoring and trend analysis outside the synchronous decision path.
ClickHouse serves tenant-aware product and customer analytics with mandatory tenant keys and query security.
HOW WE ENGAGE
They are two procurement and support routes into related technology. Partner-led ClickHouse is built on ClickHouse commercial offerings, where vendor-backed support may apply under your agreement. ClickHouse OSS support is independent Bassirah engineering for self-managed community ClickHouse, with no vendor support or escalation implied. Available features depend on the selected deployment and entitlement.
ClickHouse is a column-oriented database designed for fast serving of data stored in it. Trino and Starburst query data where it already lives across many sources. Many architectures use both: federation for broad access, and ClickHouse for low-latency, high-concurrency analytics on curated datasets.
No. ClickHouse is designed for analytical workloads, not high-frequency row-level updates and transactions. We typically keep transactional systems such as PostgreSQL as the source of truth and offload analytical queries to ClickHouse.
We size against measured inputs: data volume and growth, retention, ingestion rate, query shapes, concurrency and latency targets. Sizing assumptions are documented and validated in a proof of concept before production commitments.
We design replication and coordination with ClickHouse Keeper across failure domains, define backup and restore procedures, and test them with restore drills. Recovery objectives are agreed with you and validated per deployment.
Yes, where current adapters and ingestion connectors support your ClickHouse version and deployment. We verify compatibility in the project architecture before relying on an integration.
Operations & Reliability
Langfuse v4 makes observations the main table. What breaks, the Cloud cutover on 16 November 2026, and a safe self-hosted upgrade path.
ClickHouseLangfuseOpenTelemetry
Read article : Langfuse v4: Planning the Move to the Observations Data Model→
Operations & Reliability
ClickHouse 26.3 to 26.9 removes features, changes defaults and tightens grants. What can stop a server starting, and how to plan the upgrade.
ClickHouse
Architecture Patterns
ClickHouse Cloud now runs AI agents and exposes a remote MCP server. What each does, how access is controlled, and what to decide before enabling…
ClickHouseClickHouse CloudMCP
Read article : ClickHouse Agents and Remote MCP: Governing Agentic Analytics on ClickHouse Cloud→
Tell us about your analytical workloads, users and constraints. We will help you design, prove and operate the right ClickHouse architecture.
