ClickHouseClickHouseReal-time analytics · deployed by CloudZA

ClickHouse, sub-second answers over billions of rows.

ClickHouse is the column-store built for speed. CloudZA deploys it on AWS and wires it into your data pipelines so dashboards, observability and AI features respond instantly — at any scale.

Integrated & managed by CloudZA · AWS AI Competency Partner

What CloudZA delivers

Sub-secQuery latency over billions of rows of event data.
10×+Compression vs. row stores — far less storage spend.
StreamReal-time ingestion from your event sources on AWS.
Why ClickHouse on CloudZA

Analytics that keep up with your product.

Blazing queries

A vectorized column engine returns aggregations over huge datasets in milliseconds.

Cheap at scale

Aggressive compression and tiered storage cut cost — CloudZA tunes the FinOps policy.

Real-time pipelines

Stream events straight in from Kafka, Kinesis or your app and query them live.

The partnership

CloudZA — Certified ClickHouse Consulting Partner.

ClickHouse is open-source, columnar and purpose-built for blazing-fast analytics. CloudZA is a certified ClickHouse consulting partner, deploying it production-ready on AWS — with the pipelines, schema design, tuning and managed operations your team should not have to build alone.

43.8k+

GitHub stars

One of the fastest-growing open-source analytical databases globally.

250k+

Community members

Engineers and data teams building on ClickHouse worldwide.

1 quadrillion rows

At Tesla

The largest known ClickHouse deployment — telemetry at planetary scale.

100 PB

Daily on ClickHouse Cloud

Data handled across all ClickHouse Cloud customers every day.

Benchmark performance

Measurably faster than every alternative.

37× faster than Redshift

ClickHouse loads data 37× faster than Amazon Redshift in head-to-head benchmarks — the same query that takes minutes elsewhere returns in seconds.

101× faster than Druid

Benchmark head-to-head: ClickHouse 2.57 s · Redshift 5.23 s · Snowflake 12.33 s. ClickHouse wins on latency, throughput and concurrency.

60% lower cost than BigQuery

4× faster queries, no per-query charges and up to 1,000 concurrent queries per node — ClickHouse delivers more at a fraction of the cost of BigQuery.

What can you build?

One engine. Every analytics workload.

01

Real-Time Analytics

Sub-second query latency over billions of rows — embed live dashboards in your product that stay fast as data volume explodes. Customer-facing analytics, usage metering and A/B reporting without a warehouse bottleneck.

02

Data Warehousing

Compatible with Iceberg, Parquet and Delta Lake — and every major BI tool. Use ClickHouse as the fast serving layer in your lakehouse, or as a standalone warehouse that keeps up with your query volume.

03

Observability

Logs, metrics and traces in a single SQL store at 42× lower cost than Datadog. ClickHouse ingests high-cardinality event streams in real time and lets your team query across the entire history in milliseconds.

04

AI/ML & Agentic AI

Feature store, vector store and LLM observability platform in one — ClickHouse serves aggregates to models at the latency GenAI applications demand, and tracks token usage, latency and cost across your AI stack.

Why replace traditional warehouses

Legacy warehouses were not built for real-time scale.

Snowflake, BigQuery and Redshift charge per query and cap concurrency — cost-prohibitive at real-time scale. ClickHouse has no per-query charges, returns results sub-second by default and supports up to 1,000 concurrent queries per node.

vs Snowflake

Per-query credit model makes concurrent real-time workloads prohibitively expensive. Concurrency scaling is a paid add-on. ClickHouse delivers 1,000 concurrent queries per node, predictable pricing and sub-second results by default.

vs BigQuery

60% more expensive and 4× slower on equivalent analytical workloads. Slot-based concurrency throttles dashboards under load. ClickHouse: columnar vectorized engine, no per-query charges, unlimited concurrency.

vs Redshift

37× slower data loading and requires cluster resizing for concurrent scale. Maintenance windows interrupt production queries. ClickHouse: no maintenance windows, constant-time inserts, linear horizontal scaling.

Deployment options

Choose the model that fits your cloud strategy.

ClickHouse Cloud

Fully managed by the creators of ClickHouse — auto-scaling, automated backups, 150+ integrations and zero infrastructure to operate. CloudZA handles onboarding, schema design and pipeline wiring.

BYOC — Bring Your Own Cloud

Managed ClickHouse Cloud experience deployed inside your own AWS VPC. CloudZA's recommended option for AWS customers — data sovereignty stays with you, ClickHouse handles operations within your account.

CloudZA recommended for AWS

Private / On-Premises

ClickHouse Cloud binaries deployed in your own cloud account or on-premises infrastructure — for teams with strict data residency requirements, airgapped environments or existing datacenter investments.

Where it fits

One engine behind every fast dashboard.

01

Customer-facing analytics

Embed live dashboards in your product that stay fast even as data volume explodes.

02

Observability & logs

Store and query metrics, traces and logs at scale without breaking the storage budget.

03

AI & feature stores

Serve features and aggregates to models with the latency GenAI applications demand.

04

Replace slow warehouses

CloudZA migrates heavy BI workloads off legacy warehouses onto a leaner ClickHouse cluster.

Next step

Make your analytics feel instant.

CloudZA designs the schema, builds the ingestion pipeline and operates ClickHouse on AWS — so your teams query at the speed of thought.