---
title: "The Real TCO of Running ClickHouse in AWS vs. Bare Metal Over 3 Years"
url: "https://bitrefinery.com/blog/clickhouse-tco-aws-vs-bare-metal"
description: "A deep dive into the hidden costs of cloud data warehousing and why bare metal infrastructure offers superior ROI for ClickHouse workloads."
author: "Bit Refinery Team"
date: "2026-02-09"
lastmod: "2026-02-09"
tags: ["clickhouse", "tco", "bare-metal", "cloud-costs", "data-engineering", "infrastructure"]
source: "blog CMS"
---

# The Real TCO of Running ClickHouse in AWS vs. Bare Metal Over 3 Years

For data engineers and CTOs, ClickHouse is often the 'magic bullet' for real-time analytics. Its ability to process billions of rows per second with sub-second latency is unmatched. However, as your data footprint grows, the infrastructure supporting ClickHouse often becomes a source of significant financial friction—especially in the public cloud.

When deploying ClickHouse on AWS (via EC2 and EBS), the initial agility is tempting. But as you scale to multi-terabyte datasets and high-concurrency query patterns, the Total Cost of Ownership (TCO) begins to spiral. 

In this post, we’ll break down a three-year TCO comparison between a standard AWS deployment and Bit Refinery’s Bare Metal infrastructure.

## The Hidden Levers of Cloud Costs


![3-Year TCO comparison chart between AWS and Bit Refinery Bare Metal for ClickHouse](/api/storage/files/blog-images/infographic-1770634853267.jpg)

In the public cloud, you aren't just paying for compute. You are paying for a complex web of architectural abstractions. For a ClickHouse workload, three specific areas drive up the bill:

1.  **Storage Throughput (IOPS):** ClickHouse is a column-oriented database that relies heavily on disk I/O. To get the performance ClickHouse is capable of on AWS, you often need `io2` Block Express volumes or massive `gp3` allocations, both of which carry heavy premiums.
2.  **Egress Fees:** Data is rarely static. If you are feeding ClickHouse from external sources or serving data to global BI tools, AWS egress fees ($0.05–$0.09/GB) act as a 'success tax' on your growth.
3.  **The Virtualization Tax:** Hypervisors introduce jitter and overhead. To achieve the same performance as a dedicated physical CPU, you often have to over-provision instances, paying for 'ghost' resources you don't actually control.

## The Comparison: 100TB Analytics Cluster

Let's look at a typical production scenario: A ClickHouse cluster requiring high performance, 1TB of RAM, and roughly 40-50TB of usable SSD storage (RAID 6/10 for redundancy).

### Scenario A: AWS (r6i.metal + EBS)
*   **Instance:** `r6i.metal` (128 vCPUs, 1TB RAM)
*   **Storage:** 44TB of `gp3` storage with provisioned throughput.
*   **Monthly Compute/Storage:** ~$10,658
*   **Data Transfer:** Assuming a modest 20TB of egress/month (~$1,800).
*   **3-Year Total:** **~$448,488** (excluding inevitable scaling and snapshot costs).

### Scenario B: Bit Refinery (Gold Tier Bare Metal)
*   **Server:** Bit Refinery Gold (80 Physical Cores, 1TB RAM)
*   **Storage:** 44TB RAID6 Enterprise SSD (Included)
*   **Bandwidth:** Unlimited 1 Gbps ($0 Egress)
*   **Monthly Cost:** $2,800
*   **3-Year Total:** **$100,800**

**The Difference:** Over three years, the bare metal approach saves **$347,688**—a 77% reduction in infrastructure spend for the exact same (or better) performance profile.

## Performance: Why Bare Metal Wins for ClickHouse

ClickHouse thrives when it has direct access to the hardware. In a bare metal environment, there is no noisy neighbor effect. When ClickHouse executes a parallel scan across 80 cores, it isn't competing with another tenant's microservices for CPU cycles.

### Direct NVMe Access
On Bit Refinery's hardware, your data sits on enterprise-grade SSDs connected via high-performance RAID controllers or direct NVMe. In the cloud, your data often travels over a network-attached storage (EBS) fabric. Even with high-speed Nitro cards, network-attached storage cannot match the sub-millisecond latency of local, physical disks. For ClickHouse, lower latency translates directly to faster query response times for your end-users.

### "Own the Base, Rent the Spike"
At Bit Refinery, we advocate for a hybrid philosophy. Use bare metal for your **baseline data workloads**—the 24/7 ingestion and heavy lifting where performance and cost predictability are paramount. If you have seasonal spikes or need ephemeral dev environments, use the public cloud for those "spikes."

## Beyond the Hardware: Managed Services

Saving money on hardware is only half the battle. Running ClickHouse at scale requires expertise in shard distribution, MergeTree engine tuning, and Zookeeper/Keeper management. 

Bit Refinery, in partnership with **Quantrail Data**, offers managed ClickHouse services. We don't just give you the keys to a server; we provide:
*   **Architecture Design:** Ensuring your schema is optimized for columnar storage.
*   **Migration Support:** Moving data from AWS S3 or Snowflake into ClickHouse with zero downtime.
*   **24/7 Monitoring:** Proactive alerts on disk pressure, query bottlenecks, and hardware health.

## Conclusion

If your ClickHouse bill is starting to rival your payroll, it’s time to look under the hood. The "Cloud First" mandate of the last decade is being replaced by a "Performance First" reality. For data-intensive applications, bare metal isn't just a legacy choice—it's the modern choice for those who value performance, predictability, and the bottom line.

**Ready to audit your ClickHouse spend?** [Contact Bit Refinery today](https://bitrefinery.com/contact) for a custom TCO analysis and see how much you could save by moving to bare metal.