How do SNOW and DBT differ fundamentally?

Snowflake is a data warehouse — a cloud platform for storing and analyzing data at scale. dbt is a data transformation tool — the software data engineers use to transform raw database tables into clean, analysis-ready data models before loading into warehouses like Snowflake. They serve different steps in the data pipeline and most organizations use both.

What metrics matter most when comparing SNOW and DBT?

For Snowflake (public), track product revenue growth, net revenue retention rate (the key metric reflecting whether existing customers expand consumption), and remaining performance obligations. For dbt Labs (private), track ARR growth and dbt Cloud seat expansion. The most useful public comparison metric is Snowflake's NRR — indicating health of customer expansion within the data cloud platform.

Which is better for long-term investors — SNOW or DBT?

Snowflake's long-term data warehouse and AI data cloud positioning is very strong — enterprise data volumes grow exponentially and Snowflake's consumption model scales with that growth. dbt Labs' open-source standard positioning in data transformation is also very durable. Long-term public market investors access this theme through Snowflake; those with private market access might also consider dbt Labs at appropriate valuation.

brimindinvest.com / compare / snow-vs-dbtLIVE

SNOW

Snowflake Inc. · Technology

$232.29

+37.00% this month

VERSUS

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COMPARE

DBT

dbt Labs · Technology

N/A

N/A this month

Scoreboard verdict

Across AI score, momentum, valuation, upside, operating margin

SNOW

0

DBT

0

MIXED SETUP

Comparison scoreboard

MIXED SETUP

AI Score

SNOW 25.7

DBT N/A

1Y Return

SNOW +9.53%

DBT N/A

Fwd P/E

SNOW 86.54

DBT N/A

Target Up.

SNOW +25.58%

DBT N/A

Op. Margin

SNOW N/A

DBT N/A

Metrics last refreshed: 6/20/2026

Quick take

SNOW vs DBT Stock Comparison: AI Score, Valuation, Performance and Upside

Snowflake and dbt Labs are both critical components of the modern data stack but at different layers. Snowflake is the data warehouse — where data is stored and analyzed. dbt is the transformation layer — the tool data engineers use to clean and structure raw data before analysis. Most organizations using Snowflake also use dbt, making them complementary rather than competing tools in most data teams' stacks.

SNOW vs DBT is the leading cloud data warehouse and AI data platform (Snowflake, public) versus the dominant open-source data transformation standard that most Snowflake customers also use (dbt Labs, private) — both are critical modern data stack components but Snowflake is the accessible public equity and dbt Labs requires private market access.

Live analysis · updated 6/20/2026

SNOW and DBT are closely matched — they split the tracked metrics evenly.

Normalized 1Y performance

SNOW

DBT

Not enough data to chart yet.

Recent returns

SNOW

DBT

Analyst price targets & sentiment

SNOW · 48 analysts

STRONG BUYHOLDSTRONG SELL

Strong Buy (1.5/5.0)

Price target range

analyst low$110.00
analyst high$500.00
analyst mean$291.70
current price$232.29

+25.6% upside to analyst mean

DBT

Price target data unavailable

N/A

Who should consider this stock?

SNOW may suit investors who:

→prefer cloud data warehouse exposure as the central analytics and increasingly AI infrastructure platform for enterprise data teams
→value Snowflake's multi-cloud architecture uniquely serving organizations that use multiple hyperscalers — a flexibility advantage over native warehouse solutions
→want AI Data Cloud expansion upside as Snowflake adds ML inference, document AI, and Python/Java workloads beyond SQL analytics
→are comfortable with consumption-based revenue unpredictability, Databricks lakehouse competition, and hyperscaler native warehouse pricing competition

DBT may suit investors who:

→note: dbt Labs is a private company and standard stock tickers (DBT) may reference a different security — verify the actual security before investing
→prefer data transformation infrastructure exposure as a critical tool in modern data stacks alongside Snowflake, BigQuery, and Databricks
→value dbt's open-source adoption as a bottom-up enterprise sales motion — the standard that data engineers choose independently before organizations pay for dbt Cloud
→would seek private market access to dbt Labs if interested in the company's growth story

Performance & AI score

Metric	SNOW	DBT
AI score	25.7	N/A
AI rank	#2711	N/A
Latest close	$232.29	N/A
1M return	+37.00%	N/A
6M return	+7.40%	N/A
1Y return	+9.53%	N/A

$10,000 invested — hypothetical growth (dividends reinvested)

How much would $10,000 be worth today if invested at the start of each period, with all dividends reinvested?

Period	SNOW	DBT
1Y ago	$10.95K (+9.5%) started 2025-06-18	N/A
5Y ago	$9.31K (-6.9%) started 2021-06-18	N/A
10Y ago	$9.15K (-8.5%) started 2020-09-16	N/A

Hypothetical — past performance does not guarantee future results.

Valuation & upside potential

Metric	SNOW	DBT
Market cap	$80.51B	N/A
Trailing P/E	N/A	N/A
Forward P/E	86.54	N/A
Price/Sales	16.00	N/A
EV/Revenue	16.38	N/A
Analyst target	$291.70	N/A
Target upside	+25.58%	N/A

Growth, profitability & risk

Metric	SNOW	DBT
Revenue growth	33.50%	N/A
Earnings growth	N/A	N/A
EPS growth	N/A	N/A
FCF margin	+34.56%	N/A
Operating margin	N/A	N/A
Profit margin	-23.79%	N/A
ROIC proxy	-54.87%	N/A
Return on equity	-54.87%	N/A
Dividend yield	0.00%	N/A
Beta	1.35	N/A
Debt/equity	142.91	N/A
Current ratio	1.05	N/A
Quick ratio	0.94	N/A

Drawdown & downside risk

Lower drawdown and smaller single-period drops generally indicate a smoother ride, though they do not guarantee lower future risk.

1Y risk snapshot

SNOW max drawdown56.30%

DBT max drawdownN/A

SNOW max wkly drop23.48%

DBT max wkly dropN/A

5Y risk snapshot

SNOW max drawdown72.99%

DBT max drawdownN/A

SNOW max wkly drop28.56%

DBT max wkly dropN/A

10Y risk snapshot

SNOW max drawdown72.99%

DBT max drawdownN/A

SNOW max wkly drop28.56%

DBT max wkly dropN/A

Performance metrics by period

Period	Metric	SNOW	DBT
1Y	Growth	+9.53%	N/A
	CAGR	+9.54%	N/A
	Sharpe ratio	0.38	N/A
	Max drawdown	56.30%	N/A
	Max daily drop	11.83%	N/A
	Max wkly drop	23.48%	N/A
5Y	Growth	-6.86%	N/A
	CAGR	-1.41%	N/A
	Sharpe ratio	0.21	N/A
	Max drawdown	72.99%	N/A
	Max daily drop	18.14%	N/A
	Max wkly drop	28.56%	N/A
10Y	Growth	-8.52%	N/A
	CAGR	-1.54%	N/A
	Sharpe ratio	0.21	N/A
	Max drawdown	72.99%	N/A
	Max daily drop	18.14%	N/A
	Max wkly drop	28.56%	N/A

Business comparison

Category	SNOW	DBT
Company	Snowflake Inc.	dbt Labs
Sector	Technology	Technology
Industry	N/A	N/A
Core business	Snowflake is the leading cloud data warehouse and data cloud platform. Organizations store and analyze their data on Snowflake's platform, paying for compute and storage usage. Snowflake's unique multi-cloud architecture separates storage from compute, enabling organizations to run workloads on AWS, Azure, and GCP simultaneously from a single data warehouse. Snowflake's AI Data Cloud adds AI and ML workloads on top of data warehouse storage, enabling organizations to train models and run AI inference on their Snowflake data.	dbt Labs develops dbt (data build tool), the dominant open-source data transformation framework used by data engineers and analysts to transform raw data into analytics-ready tables. dbt Core is free and open-source; dbt Cloud is the paid managed platform for orchestrating, scheduling, and monitoring dbt transformations. dbt has become a standard tool in the modern data stack — most organizations running Snowflake, BigQuery, or Databricks also run dbt for data transformation. Note: dbt Labs is private; DBT as a ticker may refer to a different security in some databases.
Investor focus	Investors track product revenue growth (the primary metric), remaining performance obligations (RPO), net revenue retention, and the transition from data warehouse to AI Data Cloud positioning as new workload categories expand Snowflake's TAM.	As a private company, dbt Labs investors track ARR growth, dbt Cloud seat expansion, enterprise customer growth, and dbt's expansion from transformation into data governance and data contracts.

SNOW strengths

→Multi-cloud data architecture is uniquely flexible — organizations can use Snowflake on AWS, Azure, and GCP and run cross-cloud data sharing, a capability hyperscaler-native warehouses cannot match
→Snowflake Marketplace enables data sharing and third-party data purchases within the Snowflake ecosystem — data network effects as more organizations share and monetize data on the platform
→AI Data Cloud expansion: Cortex AI (ML/AI functions built into SQL), Snowpark (Python/Java workloads), and Document AI extend Snowflake beyond SQL analytics into full AI workloads

DBT strengths

→dbt is the de facto standard for data transformation in the modern data stack — data engineers at most modern data organizations use dbt daily regardless of which data warehouse they use
→Open-source adoption creates a bottom-up enterprise sales motion — individual data engineers adopt dbt Core for free, then organizations pay for dbt Cloud for orchestration and governance
→Data contract functionality and semantic layer expansion positions dbt as a data governance layer across the entire data stack, not just a transformation tool

Risks to watch — SNOW

→Databricks' lakehouse architecture competes directly with Snowflake — Databricks has been growing faster and gaining data engineering and AI workload share
→AWS Redshift, Google BigQuery, and Azure Synapse are all hyperscaler-native data warehouses that integrate more cheaply within each cloud ecosystem vs Snowflake's third-party pricing
→Snowflake's consumption-based pricing model makes revenue less predictable than subscription SaaS — customer spending can vary significantly quarter to quarter

Risks to watch — DBT

→As a private company, financial data is limited — public market investors cannot directly hold dbt Labs equity
→Snowflake, Databricks, and the major hyperscalers all offer their own transformation and orchestration capabilities that could commoditize dbt's value
→The open-source core limits dbt Labs' ability to monetize the most common use cases — monetization depends on converting free dbt Core users to paid dbt Cloud

Frequently asked questions

Snowflake is the accessible public equity in the modern data infrastructure space. dbt Labs is private (standard tickers labeled DBT may reference different companies — verify carefully). Snowflake's cloud data warehouse and AI Data Cloud expansion creates strong public market upside. For modern data infrastructure exposure in public markets, Snowflake is the primary option; dbt Labs requires private market access.

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