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Overview
Company Does Not Provide H-1B Sponsorship
Lightdash turns dbt projects into a BI platform that enables self-service analytics for teams. Data teams write metrics in SQL, and non-technical users can explore and understand those metrics on top of existing dbt workflows. It provides governed, shareable analytics plus a development tool like the Lightdash CLI to configure and extend analytics. The goal is to help organizations make data-driven decisions by democratizing access to consistent metrics through a subscription BI platform.
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Simplify's take
What believers are saying
- Lightdash reported 58,153 users across 32 countries in 2025.
- October 2026 product cadence signals active expansion across agents, charts, and automation.
- SOC2 Type 2, HIPAA, and regional deployments support enterprise sales now.
What critics are saying
- Snowflake, Databricks, and Looker can copy semantic-layer features by 2027.
- Its dbt dependency narrows adoption; teams without dbt still face migration friction.
- Open-source usage dilutes monetization; unlimited-user pricing pressures Cloud Pro margins.
What makes Lightdash unique
- Lightdash’s open semantic layer ships code-first BI on top of dbt projects.
- October 2026 Autopilot, Claude Dashboards, and Data Apps push AI-native analytics.
- January 2026 Rollstack and embedded reporting extend Lightdash beyond dashboards.
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Funding
Notable Investors:
Series A funding typically happens when a startup has a product and some customers, and now needs funding to scale. This money is usually used to grow the team, expand marketing, and improve the product. Venture capital firms are frequently the main investors here.
Series A Funding Comparison
Industry standards
Ind Avg. $15M
$3.7M
$5M
$8.2M
$11M
$15M
$30M