Evidence

Name: Evidence
Brand: Evidence
Rating: 5 (1 reviews)

AI Native

Business intelligence as code: build polished data products with SQL and markdown

Est 2021|Valuation $1.8M|Raised $2.2M|12 Ref Customers

LinkedIn 3K|Web traffic 10K|FTEs 6|HQ Toronto, Ontario, CA

MarketsData Visualization

01Competitive Landscape

Narrative analysis

- Evidence vs Metabase: Evidence aligns with teams that prioritize code reviewability, Git-based workflows, and narrative-first reporting. Metabase aligns with organizations seeking broader business adoption and self-serve exploration. - Evidence vs Tableau: Evidence is suited to SQL-centric teams and embedding analytics within engineering workflows. Tableau is positioned for mature enterprise deployments with extensive UI capabilities and a large ecosystem. - Evidence vs Apache Superset: Both are open source; Superset focuses on dashboarding and exploration, while Evidence emphasizes narrative documentation combined with visualization components. Community signals: In BI recommendation threads, Evidence is suggested alongside Metabase and Superset-based options depending on infrastructure tolerance and desired UX. Sources: - Industry Reddit and community threads - Industry Reddit and community threads

	Evidence (evidence.dev)	Metabase	Tableau
Starting Price	Open-source (MIT). Vendor indicates an entry-level free option for Evidence Cloud; public pricing for hosted/enterprise tiers not clearly listed.	Open Source: Free. Vendor publishes tiered starter and pro plans with per-user/per-seat pricing.	Vendor publishes per-user and tiered pricing for cloud and desktop offerings.
Best For	SQL-driven teams wanting BI artifacts managed as code and narrative reports; teams that prioritize reproducibility and deployment workflows.	Self-serve BI plus SQL for analysts; broader adoption by business users; managed cloud option.	Enterprise BI at scale, broad visualization and governance capabilities; widely used in large organizations.
Key Strength	Versionable, software-like workflow; suited for embedding and narrative analytics; open-source foundations.	Balance between UI and SQL; strong out-of-the-box BI UX; clear commercial packaging and pricing.	Comprehensive enterprise features, integrations, and mature admin/governance capabilities.
Key Weakness	Less suited for non-technical self-serve users; public security/compliance documentation is limited; fewer third-party reviews.	Costs can increase with users; some enterprise features are in higher-priced tiers.	Licensing complexity and cost; implementation can require significant effort and expertise.

01Competitive Landscape

Narrative analysis

Evidence vs Metabase: Evidence aligns with teams that prioritize code reviewability, Git-based workflows, and narrative-first reporting. Metabase aligns with organizations seeking broader business adoption and self-serve exploration.
Evidence vs Tableau: Evidence is suited to SQL-centric teams and embedding analytics within engineering workflows. Tableau is positioned for mature enterprise deployments with extensive UI capabilities and a large ecosystem.
Evidence vs Apache Superset: Both are open source; Superset focuses on dashboarding and exploration, while Evidence emphasizes narrative documentation combined with visualization components.

Community signals: In BI recommendation threads, Evidence is suggested alongside Metabase and Superset-based options depending on infrastructure tolerance and desired UX.

Sources:

Industry Reddit and community threads
Industry Reddit and community threads

	Evidence (evidence.dev)	Metabase	Tableau
Starting Price	Open-source (MIT). Vendor indicates an entry-level free option for Evidence Cloud; public pricing for hosted/enterprise tiers not clearly listed.	Open Source: Free. Vendor publishes tiered starter and pro plans with per-user/per-seat pricing.	Vendor publishes per-user and tiered pricing for cloud and desktop offerings.
Best For	SQL-driven teams wanting BI artifacts managed as code and narrative reports; teams that prioritize reproducibility and deployment workflows.	Self-serve BI plus SQL for analysts; broader adoption by business users; managed cloud option.	Enterprise BI at scale, broad visualization and governance capabilities; widely used in large organizations.
Key Strength	Versionable, software-like workflow; suited for embedding and narrative analytics; open-source foundations.	Balance between UI and SQL; strong out-of-the-box BI UX; clear commercial packaging and pricing.	Comprehensive enterprise features, integrations, and mature admin/governance capabilities.
Key Weakness	Less suited for non-technical self-serve users; public security/compliance documentation is limited; fewer third-party reviews.	Costs can increase with users; some enterprise features are in higher-priced tiers.	Licensing complexity and cost; implementation can require significant effort and expertise.