ClickHouse Consulting Services

Acosom is a ClickHouse consulting company helping enterprises deploy, optimize, and operate ClickHouse as the real-time analytics database at the core of their data platform — on-premises, in the cloud, or hybrid.

Our ClickHouse consultants work with data engineers, analytics engineers, and platform architects who need sub-second queries on billions of rows — with proper ClickHouse architecture, schema design, materialized views, and long-term operational reliability.

Whether you’re evaluating ClickHouse, integrating it into your Kafka-Flink streaming pipeline, tuning query performance, or need experienced ClickHouse engineers embedded in your team — we cover the full lifecycle.

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Why Organizations Choose Acosom for ClickHouse

We combine deep ClickHouse expertise with enterprise consulting experience across industries that demand real-time analytics at scale.

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Deep ClickHouse Expertise

Our engineers have designed and operated ClickHouse deployments handling billions of rows with sub-second query latency. We understand ClickHouse internals — MergeTree engines, materialized views, distributed tables, and replication — not just the SQL surface.

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On-Premises & Hybrid ClickHouse Deployment

We specialize in deploying ClickHouse on-premises and in hybrid environments where data sovereignty, compliance, and network constraints matter. Our ClickHouse consulting includes Kubernetes-native deployments with the ClickHouse Operator and full operational tooling.

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ClickHouse for Data-Intensive Industries

AdTech, finance, IoT, telecom, and manufacturing — we’ve deployed ClickHouse in environments where query speed, data volume, and uptime are non-negotiable. Our consulting approach is designed for enterprises with demanding analytical workloads.

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ClickHouse Performance & Cost Optimization

We optimize ClickHouse deployments for query latency, ingestion throughput, and storage efficiency. Schema design, partitioning strategy, and materialized views are architectural decisions — not afterthoughts.

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Kafka + Flink + ClickHouse Integration

Kafka, Flink, and ClickHouse form the backbone of modern real-time analytics platforms. Our engineers design end-to-end streaming-to-analytics architectures — ingesting events through Kafka, transforming them with Flink, and serving sub-second queries from ClickHouse.

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Managed ClickHouse Operations & SRE

Beyond consulting, we offer managed ClickHouse services — ongoing operations, monitoring, upgrades, and incident response. Predictable costs, SLAs, and a team that understands your ClickHouse platform deeply.

How We Work With You

Three ways to engage — from targeted advice to embedded engineers and full platform ownership.

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Consulting & Architecture

Expert ClickHouse consulting on an hourly or project basis. Architecture assessments, proof-of-concept builds, migration planning, and performance reviews.

  • Schema design & query optimization
  • Proof of concept development
  • Migration planning & execution
  • Performance assessment & tuning
  • Best-effort or SLA-based support & maintenance
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Team Extension & On-Site Engineering

Embed our senior ClickHouse engineers directly in your project team. They work in your repositories, your processes, your standups — and bring years of hands-on production experience from enterprise ClickHouse deployments across Europe. Not a body shop — our people come with deep platform knowledge built across dozens of deployments in data-intensive industries.

  • Senior data engineers with ClickHouse, Kafka & Flink expertise
  • On-site, remote, or hybrid — fully integrated in your workflows
  • Long-term or project-based engagements
  • Your codebase, your deadlines, our experience
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24/7 Managed ClickHouse Operations

Full operational ownership of your ClickHouse platform with 24/7 monitoring, incident response, and proactive maintenance. We run your ClickHouse infrastructure with defined SLAs — on-premises, in the cloud, or hybrid.

  • 24/7 monitoring & alerting
  • Guaranteed response times (4h / 8h / next business day)
  • Capacity planning & cluster scaling
  • Proactive health checks & hardening
  • Defined escalation paths & on-call rotation

Our ClickHouse Consulting Approach

Every ClickHouse engagement starts with understanding your analytical workloads, data volumes, and query patterns — not with a generic deployment template.

We assess your current analytics landscape, identify schema and performance risks, and design a ClickHouse deployment that fits your organization’s operating model. Whether it’s a greenfield real-time analytics platform or optimizing an existing ClickHouse cluster, our engineers bring proven patterns from real production environments.

Our ClickHouse consulting services are pragmatic, production-focused, and designed for long-term operability — not just initial deployment.

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ClickHouse Consulting Services

From schema design to operations — our ClickHouse consulting covers the full platform lifecycle.

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ClickHouse Architecture & Schema Design

We design ClickHouse schemas and cluster architectures for analytical workloads — choosing the right MergeTree engine variants, defining partition keys and sort orders, and designing distributed table topologies. Whether you need a greenfield design or a review of your current setup, we cover schema optimization, replication strategy, and integration with your existing data platform.

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Materialized Views & Query Optimization

Our ClickHouse engineers build production-grade materialized views, pre-aggregation pipelines, and optimized query patterns. We design for sub-second latency on dashboards, APIs, and ad-hoc analytics — even at terabyte and petabyte scale.

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End-to-end streaming analytics architectures: Kafka for event ingestion, Flink for stateful stream processing, ClickHouse for real-time OLAP queries. We design the connectors, data models, and delivery guarantees that make this pipeline production-ready.

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ClickHouse Performance Engineering

Query profiling, partition tuning, compression optimization, and cluster rebalancing. We diagnose and resolve performance issues in existing ClickHouse deployments — from slow queries to ingestion bottlenecks.

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ClickHouse on Kubernetes

Production-grade ClickHouse deployments on Kubernetes using the ClickHouse Operator. Resource planning, persistent volume configuration, rolling upgrades, and GitOps workflows for containerized analytical databases.

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ClickHouse Training & Enablement

We train your data engineering and analytics teams on ClickHouse — from SQL fundamentals and schema design to advanced topics like materialized views, distributed queries, and operational best practices. Build internal ClickHouse capability with hands-on training from experienced engineers.

Getting Started Is Simple

From first conversation to a concrete proposal — in less than 48 hours.

Discovery Call (30-60 min)
We learn about your analytics architecture, data volumes, query patterns, and goals. No sales pitch — a technical conversation with engineers who understand ClickHouse. We’ll ask the right questions and give you honest, actionable input immediately.
Tailored Proposal (within 48h)
Based on our conversation, we prepare a detailed proposal — including scope, approach, timeline, and team composition. We also share relevant client references from similar industries and use cases under NDA.
Alignment & Procurement
We work with your procurement and legal teams to finalize contracts, NDAs, and onboarding. We’re experienced with enterprise procurement processes and make this as smooth as possible.
Engagement Starts
Whether it’s consulting, team extension, or managed operations — our engineers are ready to deliver from day one. Fast ramp-up, clear responsibilities, immediate impact.

Ready to talk? Book a 30-minute discovery call and get a tailored proposal within 48 hours.

Book a Free Discovery Call

Technologies We Deploy with ClickHouse

ClickHouse is the real-time analytics engine — but production platforms need a complete ecosystem.

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ClickHouse

Column-oriented OLAP database for real-time analytics. Sub-second queries on billions of rows with exceptional compression and ingestion performance.

Apache Kafka

Distributed event log feeding real-time data into ClickHouse. Durable, ordered, replayable — the ingestion backbone for streaming analytics platforms.

Stateful stream processing between Kafka and ClickHouse. Complex transformations, enrichment, and aggregation before data lands in ClickHouse for querying.

Grafana

Real-time dashboards and monitoring powered by ClickHouse. Native ClickHouse data source plugin for operational analytics, SLI/SLO tracking, and business metrics.

Apache Superset

Open-source BI and data exploration on ClickHouse. Interactive dashboards, ad-hoc SQL queries, and self-service analytics for business users.

Kafka Connect

Connector framework for data integration. Resilient pipelines moving data from operational systems into Kafka and onward to ClickHouse.

Who Our ClickHouse Consulting Is For

Our ClickHouse consulting services are designed for:

  • Data engineers and analytics engineering teams building real-time analytics platforms on ClickHouse
  • Platform architects designing streaming-to-analytics pipelines with Kafka, Flink, and ClickHouse
  • AdTech companies needing sub-second queries on billions of ad impressions and click events
  • Financial services firms requiring real-time risk analytics, fraud detection dashboards, and trade surveillance
  • IoT and telecom organizations processing high-volume sensor and network telemetry data
  • Manufacturing companies running real-time production monitoring and quality analytics
  • Teams seeking a dedicated ClickHouse consultant to guide schema design, performance tuning, or operational improvements

If you need experienced ClickHouse support — in Europe, the US, or anywhere else — our ClickHouse consultants are ready to help.

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ClickHouse Consulting FAQ

What is ClickHouse architecture?

ClickHouse architecture is a distributed, columnar, MPP (massively parallel processing) OLAP database built around the MergeTree family of table engines. It’s engineered to run analytical queries over billions of rows with sub-second latency by combining columnar storage, data skipping indexes, vectorised execution, and highly parallel query processing across shards and replicas.

Core elements of a production ClickHouse architecture:

  • MergeTree table engines: The heart of ClickHouse — ReplicatedMergeTree, ReplacingMergeTree, AggregatingMergeTree, CollapsingMergeTree, and SummingMergeTree for different data-shape needs
  • Sharding and replication: Distributed tables spread data across shards for throughput; ReplicatedMergeTree + Keeper (or ZooKeeper) provide HA and consistency per shard
  • Storage layout: Columnar storage with part-based, sorted data files — optimised for range scans and aggregations
  • Data skipping indexes: Min/max, bloom, and set indexes to skip irrelevant granules at query time
  • Materialized views and projections: Pre-aggregated, continuously maintained views for sub-second dashboards
  • Ingestion patterns: Kafka table engine for streaming ingest, S3 / HTTP for bulk, native protocol for low-latency writes
  • Query engine: Vectorised, SIMD-aware execution with parallel query processing across threads, shards, and replicas
  • Integration with streaming: ClickHouse sits naturally after Apache Flink and Apache Kafka — making it the serving layer of a modern streaming data platform

Operational concerns that make a ClickHouse architecture production-grade: capacity planning (RAM vs storage trade-offs), part-merge tuning, zero-downtime upgrades, backup and replication strategies, multi-tenant isolation via RBAC and resource quotas, and storage-tiering for cost control.

Acosom designs and operates ClickHouse architecture as the real-time analytics database inside streaming data platforms — on-prem, hybrid, or sovereign cloud — for regulated enterprises that need sub-second analytics over live event data.

What is a real-time analytics database?

A real-time analytics database is a database designed for low-latency analytical queries over constantly changing data — typically tens of billions of rows growing by millions of events per day. Instead of transactional correctness on single rows (an OLTP database) or batch-style reporting on yesterday’s data (a classical data warehouse), a real-time analytics database delivers sub-second aggregate queries on live, streaming data.

What distinguishes a real-time analytics database:

  • Columnar storage and vectorised execution: Enables fast scans and aggregations across large data volumes
  • High-throughput ingestion: Streaming ingest directly from Apache Kafka, CDC, or application events — often millions of events per second
  • Sub-second query latency: For dashboards, operational analytics, and in-product analytics
  • Materialized views / projections: Pre-computed, continuously maintained aggregates for the most demanding query patterns
  • Horizontal scale: Sharding and replication for both throughput and high availability
  • Integration with streaming platforms: First-class fit with Apache Kafka and Apache Flink — used as the serving layer of a streaming data platform

Typical real-time analytics database options: ClickHouse (Acosom’s default for regulated DACH enterprises — open source, on-prem, vendor-neutral), Apache Pinot, Apache Druid, and StarRocks. Vendor-managed options (BigQuery, Snowflake) trade off operational simplicity for cost, latency, and lock-in characteristics that often don’t fit regulated workloads.

Acosom implements real-time analytics databases as the query-serving layer of streaming data platforms — paired with Apache Kafka and Apache Flink — so live operational data is queryable end-to-end in seconds.

What makes Acosom different from other ClickHouse consulting companies?

We focus on the full real-time analytics stack — not just ClickHouse in isolation. Every ClickHouse consultant on our team brings production experience with the complete Kafka-Flink-ClickHouse pipeline. Our consulting is grounded in real-world deployments, and we design for long-term operability — working as a partner, not a body shop.

Do you offer on-premises ClickHouse consulting?

Yes. On-premises and hybrid ClickHouse deployments are a core part of our consulting services. We deploy ClickHouse on bare metal and Kubernetes in private data centers, with full operational tooling, monitoring, and backup strategies. Data sovereignty and compliance are first-class concerns.

Can you help us integrate ClickHouse with Kafka and Flink?

Yes. The Kafka-Flink-ClickHouse architecture is one of our core specialties. We design end-to-end streaming analytics pipelines — from event ingestion through Kafka, stateful processing with Flink, to real-time OLAP queries in ClickHouse. This includes schema design, delivery guarantees, and operational tooling for the entire stack.

Do you provide managed ClickHouse services?

Yes. Beyond consulting, we offer managed ClickHouse operations with SLAs — including monitoring, upgrades, incident response, and capacity planning. This is ideal for organizations that want ClickHouse experts handling operations without building an in-house SRE team.

Which industries benefit most from ClickHouse?

ClickHouse excels in any industry that needs sub-second analytical queries on large volumes of data: AdTech (ad impression and click analytics), finance (real-time risk and fraud detection), IoT and telecom (sensor and network telemetry), manufacturing (production monitoring), and any organization with real-time dashboarding or API-serving requirements.

How do we get started with ClickHouse consulting?

Start with a free discovery call. We’ll discuss your analytics workloads, data volumes, query patterns, and goals. From there, we propose a concrete engagement — whether that’s a schema review, a proof of concept, a migration from another database, or a full platform build.

Ready to talk? Book a 30-minute discovery call and get a tailored proposal within 48 hours.

Book a Free Discovery Call
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