Steep

Name: Steep
Brand: Steep
Rating: 4.8 (5 reviews)

AI Native

Metrics-first BI for everyone | Hiring 🚀

Est 2021|Valuation $17.6M|Raised $5.5M

LinkedIn 3K|Website|Web traffic 68K|FTEs 28|HQ Stockholm, 01, SE

MarketsData Visualization Self-Service Analytics

01Competitive Landscape

Narrative analysis

Where Steep appears to perform well: - Governed metrics as a primary artifact aligns with the broader trend toward semantic layers and metric stores. - Multiple reviewers describe the user experience as accessible for non-technical stakeholders. - Integrations with dbt Semantic Layer and Cube support modern data-stack workflows. Where competitors may be stronger: - Tableau: broader visualization customization and a mature ecosystem for large enterprises. - Looker: established centralized modeling patterns (LookML) and robust governance, albeit requiring specialized skills; platform-level capabilities differ under its cloud provider roadmap. - Metabase: cost flexibility and open-source/self-hosting options that benefit some deployment models. - Omni/Sigma: referenced in community discussions as combining semantic approaches with analyst-friendly interfaces; comparative evidence in the context of Steep is limited.

Customer testimonial comparisons

Community threads include recommendations for Steep among several modern BI tools. Other users report strong results with alternative modern BI vendors, underlining that multiple competitors focus on improving adoption among business users.

	Steep	Tableau	Metabase
Starting Price	Free for a small number of users (vendor-stated); published per-seat and plan pricing available from the vendor and third-party marketplaces	Viewer and Creator tiers (pricing varies by license type; Creator typically higher)	Open source: free; cloud starter tiers with published per-user pricing available from the vendor
Best For	Organizations focusing on governed metrics and broad self-service adoption with a modern UX	Highly customizable visual analytics and enterprise deployments with extensive visualization options	Teams seeking cost flexibility, open-source options, or quick ad-hoc querying
Key Strength	Metrics-first semantic model and exploration UI; multi-platform client support	Extensive visualization capabilities, mature admin/security features, large community	Price flexibility, open-source option, quick setup for ad-hoc analysis
Key Weakness	Enterprise-grade features and advanced visualization customization may be less mature; no lower-priced viewer licensing	Licensing complexity and potential for dashboard proliferation without governance	Requires careful governance to achieve semantic-layer rigor comparable to metrics-first tools

01Competitive Landscape

Narrative analysis

Where Steep appears to perform well:

Governed metrics as a primary artifact aligns with the broader trend toward semantic layers and metric stores.
Multiple reviewers describe the user experience as accessible for non-technical stakeholders.
Integrations with dbt Semantic Layer and Cube support modern data-stack workflows.

Where competitors may be stronger:

Tableau: broader visualization customization and a mature ecosystem for large enterprises.
Looker: established centralized modeling patterns (LookML) and robust governance, albeit requiring specialized skills; platform-level capabilities differ under its cloud provider roadmap.
Metabase: cost flexibility and open-source/self-hosting options that benefit some deployment models.
Omni/Sigma: referenced in community discussions as combining semantic approaches with analyst-friendly interfaces; comparative evidence in the context of Steep is limited.

Customer testimonial comparisons

	Steep	Tableau	Metabase
Starting Price	Free for a small number of users (vendor-stated); published per-seat and plan pricing available from the vendor and third-party marketplaces	Viewer and Creator tiers (pricing varies by license type; Creator typically higher)	Open source: free; cloud starter tiers with published per-user pricing available from the vendor
Best For	Organizations focusing on governed metrics and broad self-service adoption with a modern UX	Highly customizable visual analytics and enterprise deployments with extensive visualization options	Teams seeking cost flexibility, open-source options, or quick ad-hoc querying
Key Strength	Metrics-first semantic model and exploration UI; multi-platform client support	Extensive visualization capabilities, mature admin/security features, large community	Price flexibility, open-source option, quick setup for ad-hoc analysis
Key Weakness	Enterprise-grade features and advanced visualization customization may be less mature; no lower-priced viewer licensing	Licensing complexity and potential for dashboard proliferation without governance	Requires careful governance to achieve semantic-layer rigor comparable to metrics-first tools