Happy Valley

Basedash vs Looker

Basedash and Looker are both BI & dashboards tools. Basedash is aimed at small businesses and enterprise, while Looker is aimed at enterprise and developers. Only Looker has a free plan.

Basedash

AI-native BI that builds dashboards and reports from plain English

Looker

Google Cloud's enterprise BI platform built on LookML

PricingPaid · $1000Paid
Starting price$1000/moNot published
Free planNoYes
Free trial14 days30 days
Built forSmall businesses, Enterprise, DevelopersEnterprise, Developers
Platformswebweb
CountryCA · 2020US · 2012
Rating——

Choose Basedash if

Startups and mid-sized teams with warehouse or SaaS data that want an AI analyst, automations and embedding in one tool.

  • No per-seat fee for up to 25 users on Startup
  • Shows the SQL behind answers, which makes results checkable
  • SOC 2 Type II with row-level security and audit logs

Look elsewhere if: Small teams on a tight budget or data teams happy writing SQL in a cheaper stack (Metabase, Looker Studio).

Choose Looker if

Data teams on a modern cloud warehouse, especially BigQuery, that need governed metrics or embedded analytics at scale.

  • Single source of truth for metrics across the whole company
  • No data extracts: always queries live warehouse data
  • Strong embedded analytics and API for customer-facing use

Look elsewhere if: Small teams that need a few dashboards on a budget (Data Studio, Metabase, Power BI).

Basedash vs Looker pricing

Basedash

  • Startup$1,000/moUp to 25 users, $1,000/mo AI credits, usage billed beyond
  • EnterpriseCustomSelf-hosting, embedding, SSO, custom seats and support

Looker

  • StandardCustomUnder 50 users; incl. 10 standard + 2 developer users; annual
  • EnterpriseCustomInternal BI at scale; 1 to 3 year commitments
  • EmbedCustomExternal and customer-facing analytics at scale
  • Trial$030 days; 5 viewer, 1 standard, 1 developer user

Basedash · Key features

  • Plain-English questions answered with charts and visible SQL
  • 750+ data source connectors plus a managed DuckDB warehouse
  • Reusable metric definitions and dbt project import
  • Scheduled or data-triggered automations sent to Slack or email
  • Recurring CSV exports attached in Slack or linked from email
  • Anomaly insights that flag and explain metric changes

Cons

  • $1,000 monthly entry price is steep for small teams
  • AI usage beyond included credits is billed on top
  • No annual pricing published on the pricing page

Looker · Key features

  • LookML semantic layer with Git version control for governed metrics
  • In-database querying on BigQuery, Snowflake, Redshift and Databricks
  • Gemini conversational analytics across up to five Explores
  • Explores for self-service drill-down without writing SQL
  • Embedded analytics with signed embedding and APIs for customer apps
  • Scheduled deliveries and alerts to email, Slack and webhooks

Cons

  • No published prices; contracts are typically five figures and up
  • Requires developers who know LookML
  • Visualisation options are weaker than Tableau

Basedash vs Looker: FAQ

Do Basedash and Looker have a free plan?

Basedash has no free plan, a 14-day free trial. Looker has a free plan.

Which is better for small businesses, Basedash or Looker?

Basedash lists small businesses as a core audience, while Looker is aimed more at enterprise and developers.

Not sure yet?