ClickHouse vs Databricks Pricing | Costbench
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25 seats

ClickHouse vs Databricks

Data Warehousing pricing comparison · 2026

ClickHouse uses custom pricing, while Databricks uses custom pricing. These products use different pricing models (Per-seat subscription vs Custom enterprise pricing), so a direct price comparison isn't meaningful — costs depend on usage volume and mix.

Visit
See pricing on each vendor's site
Above-the-fold path — each link opens the vendor's pricing page in a new tab.
Visit ClickHouse pricing
Free plan limits → Discount programs →
Visit Databricks pricing
Free plan limits → Discount programs →
Compare
2 products · Data Warehousing
Side-by-side · live
ClickHouse
ClickHouse pricing varies dramatically based on deployment model.
verified 10w ago
View pricing →
Databricks
Databricks uses consumption-based pricing measured in Databricks Units (DBUs) as of March
verified 5d ago
View pricing →
Estimated license cost
at 25 seats
List price × seats. Click a tier below to lock it.
Pricing model unknown
Pricing model unknown
no public list price found
Custom pricing
Custom
all tiers are quote-only
What buyers actually pay
median, annual
Vendr deal-flow data. The real benchmark, not list price.
No Vendr data
—
Not in Vendr's deal flow
Median annual
$250K/yr
Vendr · n=171 avg 13% negotiated
REF · 01

Sources & confidence

Every dollar amount and contract clause below traces back to a sourced fact. We don't manufacture composite scores.

Where this data comes from
Vendr · TrustRadius · Reddit · BBB · official docs
Sources 5 sourced facts
5 hidden-cost
Last verified 2mo ago
Confidence Medium confidence
Sources 16 sourced facts
9 hidden-cost · 4 contract · Vendr median · 2 review platforms
Last verified 5d ago
Confidence Medium confidence
REF · 02

Plans at a glance

Every tier per product. Lock one to drive the cost row above and reveal a tier-specific outbound CTA.

Tier ladder
Click a tier to lock the cost row to it. Locking surfaces a tier-specific Visit CTA.
REF · 03

Hidden costs

Each cost is severity-ranked, with the dollar range quoted from its source (Vendr, Reddit, TrustRadius, BBB, official docs) — never our estimate.

Beyond the sticker
Severity-ranked, sourced
4 documented
  • Cloud Provider Markup
    $3,900/month
    1 source
  • SQL Compatibility Gaps Requiring Workarounds
    15-25% of license costs
    1 source
  • Operational Complexity for Self-Hosted Deployments
    10-20% of license costs
    2 sources
  • Join Performance Requiring Denormalization
    20-40% increase in storage costs
    1 source
5 documented
  • Support Fees
    12-30% of license costs
    3 sources
  • Idle Cluster Costs
    10-30% of license costs
    3 sources
  • Pricing Calculator Inaccuracy
    $150,000-$2,000,000
    1 source
  • Azure Marketplace Upfront Payment Requirement
    $250,000-$2,000,000
    1 source
  • Data Egress and Cross-Region Transfer Fees
    $1,000-$10,000/month in cloud provider egress charges
    1 source
REF · 05

What users say

Aggregated, with sample sizes. We use whichever review platform has data.

User reviews
TrustRadius · Trustpilot · G2
No public ratings yet
Best for
Testing new ideas or starter projects with limited storage and memory
Watch out
SQL compatibility gaps requiring workarounds
TrustRadius
8.8out of 5 (5)
Trustpilot
1.5out of 5 (2)
Best for
Getting started
Watch out
Unpredictable and escalating costs
Decide
Get a quote from each vendor
Each link opens the vendor's pricing page in a new tab.
Visit ClickHouse pricing
Free plan limits → Discount programs →
Visit Databricks pricing
Free plan limits → Discount programs →
License cost is computed from publicly listed plans (real math, list price × seats). Median annual cost is from Vendr's deal flow when available — see source badges. Hidden costs and contract terms each cite their own sources. We do not invent composite scores.
Data Warehousing

ClickHouse

Custom pricing
/user/month
3 plans
Full pricing breakdown →
VS
Data Warehousing

Databricks

Custom pricing
/month
7 plans · Free tier
Full pricing breakdown →
⚖

Different Pricing Models

Direct price comparison isn't meaningful here — ClickHouse uses Per-seat subscription pricing while Databricks uses Custom enterprise pricing pricing. Your actual cost will depend on usage volume, team size, or both. Here's each product in its native unit.

Per-seat subscription

ClickHouse

Custom pricing
See full ClickHouse pricing →
vs
Custom enterprise pricing

Databricks

Custom pricing
See full Databricks pricing →

Plan-by-Plan Pricing

Plan ClickHouse Databricks
Basic Custom Free /usage
Scale Custom Custom
Enterprise Custom Custom
Interactive Workloads — Custom
Artificial Intelligence — Custom
Operational Database — Custom
Genie — Custom

Cost at Scale

Total cost of ownership — licenses, implementation, and hidden costs included.

ClickHouse

3 scenarios
$100/month
Self-Hosted on Dedicated Server (128GB RAM)
$4,000/month
AWS Managed ClickHouse (Similar Capacity)
$10/month
Small Analytics Deployment (Plausible-style)

Databricks

7 scenarios
$500
Small Data Engineering Team
$1,500/month (including cloud infrastructure)
$3,000
Mid-Size Analytics Team
$8,000/month (including cloud infrastructure)
$15,000
Enterprise ML Platform
$50,000/month (including cloud infrastructure)
See all 7 scenarios →

Hidden Costs

Beyond the sticker price — what catches buyers off guard.

ClickHouse 4 hidden costs

critical
Cloud Provider Markup $3,900/month
medium
SQL Compatibility Gaps Requiring Workarounds 15-25% of license costs
medium
Operational Complexity for Self-Hosted Deployments 10-20% of license costs
medium
Join Performance Requiring Denormalization 20-40% increase in storage costs
See all ClickHouse hidden costs →

Databricks 5 hidden costs

critical
Support Fees 12-30% of license costs
high
Idle Cluster Costs 10-30% of license costs
critical
Pricing Calculator Inaccuracy $150,000-$2,000,000
medium
Azure Marketplace Upfront Payment Requirement $250,000-$2,000,000
medium
Data Egress and Cross-Region Transfer Fees $1,000-$10,000/month in cloud provider egress charges
See all Databricks hidden costs →

Continue researching

ClickHouse

Databricks

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