We build with ClickHouse
We use ClickHouse to build real-time analytics platforms and dashboards that process billions of rows that support your business goals. From schema design and query optimization to cluster setup and monitoring, we create products designed to evolve with your needs.
DISCUSS YOUR PROJECTColumnar Storage
We store data by column for fast analytical queries.
Vectorized Execution
We aggregate billions of rows with sub-second query latency.
Real-Time Analytics
We query streaming data as it arrives, without stopping ingestion.
BENEFITS OF CLICKHOUSE technology
We use ClickHouse to aggregate large datasets quickly, power real-time dashboards, and cut analytics infrastructure costs.
BUILD
[01]- Model table schemas
- Choose partition keys
- Configure materialized views
- Set ingestion pipelines
ENGAGE
[02]- Power real-time dashboards
- Support fast aggregations
- Stream data continuously
- Enable ad hoc queries
GROW
[03]- Scale to massive datasets
- Optimize storage costs
- Add distributed clusters
- Extend with new sources
Our ClickHouse Technology Stack
We combine ClickHouse with Kafka for streaming ingestion, Grafana or Superset for visualization, and S3-compatible object storage for cost-efficient long-term data retention, tuned around your query patterns.
Custom ClickHouse development company
With our ClickHouse development services, we build real-time analytics platforms, log and event pipelines, and high-throughput dashboards, tailored to your boldest business goals. Having years of experience with ClickHouse, our engineers harness its columnar storage and vectorized query execution to deliver fast, cost-efficient analytics across industries and company sizes. Whether it's migrating from a slower analytical database or building a new data platform from scratch, we design schemas and ingestion pipelines that keep pace with your data volume. Our range of ClickHouse development services spans consulting, schema design, ingestion pipeline development, and ongoing performance tuning. We work as your technical partner and ensure complete transparency and comfortable communication throughout the process, bringing deep expertise in columnar databases and a pragmatic approach to data modeling and problem-solving. All this to make sure your analytics stay fast and reliable as data volume grows, and moves your business forward.
OUR CLICKHOUSE SERVICES
We build, modernize, and support ClickHouse analytics platforms around your product goals.
ACCELERATE FEATURE DEVELOPMENT
Your roadmap is growing faster than your team. Add senior engineering capacity and deliver more without sacrificing quality.
ClickHouse Analytics Pipelines
Real-time dashboards and event pipelines built on Kafka ingestion and columnar storage.
ClickHouse Schema & Query Optimization
Table design, sort keys, and materialized views tuned for sub-second aggregation.
ClickHouse Log & Event Analytics
High-volume log ingestion and clickstream analysis with fast, ad hoc querying.
ClickHouse Modernization
Migrate legacy analytical databases to ClickHouse or optimize an existing cluster for scale.
Related Technologies
We Turn Technology Into Results
Partner with a team that blends technical precision, creative design, and business insight. We’ll help you launch, scale, and dominate your digital niche.
Frequently Asked Questions
Common questions about how we use ClickHouse and what it can bring to your project. Have a specific requirement?
How does SoftDoes use ClickHouse?
We use ClickHouse as the analytics store behind product dashboards, usage metering, and observability features, where users filter and aggregate large event tables in real time. Transactional data usually stays in PostgreSQL or MySQL, with events streamed into ClickHouse.
What types of applications do you build with ClickHouse?
We build real-time dashboards, log and event analytics systems, clickstream analysis tools, and monitoring platforms that need fast aggregation over large datasets.
Can ClickHouse integrate with our existing data infrastructure?
Yes. ClickHouse has built-in table engines for Kafka, S3, PostgreSQL, and MySQL, so it can read from those systems directly, and its HTTP interface and JDBC or ODBC drivers connect it to Superset, Grafana, Metabase, and dbt.
Do you migrate data from other databases to ClickHouse?
Yes. We redesign tables around ClickHouse sorting keys and partitions instead of copying a row-store schema, backfill history with the s3 or postgresql table functions, then switch writes over while both systems run side by side.
When should we use ClickHouse instead of a traditional relational database?
ClickHouse fits well when you need fast aggregation over billions of rows and real-time analytics at scale. For transactional workloads with frequent single-row updates, a relational database may still be the better fit.
Can you help optimize an existing ClickHouse cluster?
Yes. We review your table schemas, partition keys, and materialized views, and adjust the design to improve query speed and reduce storage costs.
How do you decide whether ClickHouse fits a project?
ClickHouse fits when you need sub-second queries on large event data and can design tables around known filters. We compare it with BigQuery or Snowflake when analysts run unpredictable queries, and choose between self-hosted ClickHouse and ClickHouse Cloud based on who will operate it.
