Tableau vs Looker

Quick verdict

Tableau, part of Salesforce, is built around visual exploration. Authors connect Tableau Desktop (Windows or macOS) or the web editor to a database or file, then drag fields onto a canvas to build views and dashboards, adding calculated fields and level of detail (LOD) expressions as needed. Content is published to Tableau Cloud or self-hosted Tableau Server. Licences are role based: Creator, Explorer and Viewer.

Looker is Google Cloud's enterprise BI platform. Developers model data in LookML (views, dimensions, measures and explores) in a browser IDE backed by Git, and business users explore those models; Looker generates SQL for each query and runs it on the connected database. It is sold as Looker (Google Cloud core) in Standard, Enterprise and Embed editions, or as Looker (original), which can be customer-hosted. It is not the same product as Google's free Data Studio (formerly Looker Studio).

Side by side

Key differences

Exploration first versus model first

With Tableau, an analyst can connect to a table and start building charts at once. Business logic lives in calculated fields inside a workbook or in a published data source that others reuse. LOD expressions let you fix the grain of an aggregation regardless of the view; this FIXED example from Tableau's help returns total sales per region:

-- Tableau calculated field (FIXED level of detail expression)
{FIXED [Region] : SUM([Sales])}

With Looker, a developer first writes the model. Business users then pick dimensions and measures in an Explore, and every query uses the same definitions. A LookML measure, in the pattern shown in Looker's reference documentation:

# LookML (view file)
dimension: supplier_name {
  sql: ${TABLE}.supplier_name ;;
}

measure: total_revenue {
  type: sum
  sql: ${sales_price} ;;
  value_format_name: usd
}

In our assessment, Tableau is faster to a first chart and better for open-ended analysis; Looker takes longer to set up but makes it harder for two dashboards to disagree about the same metric.

SQL access for SQL users

Tableau supports custom SQL on most database connections. Tableau documents that the query must be a single SELECT statement, that Tableau wraps it in an outer query to add filters and grouping (which can affect performance), and that parameters can replace only literal values. Data can be queried live or pulled into an extract.

Looker is SQL underneath: every dimension and measure contains SQL in your database's dialect, and Looker supports more than 40 dialects, including BigQuery, Snowflake, Redshift, PostgreSQL, MySQL, SQL Server, Databricks and Oracle. Developer users can also run ad hoc queries in SQL Runner. Because Looker keeps no extracts, query cost and speed depend on the warehouse, which matters on pay-per-query platforms.

Licensing and pricing

Tableau sells Creator, Explorer and Viewer roles in Standard and Enterprise editions on annual contracts. Creator includes Tableau Desktop and Tableau Prep Builder; Explorer authors in the browser on published data; Viewer interacts with dashboards. Tableau's licensing documentation also lists a Display role, usage-based licensing per analytical impression and capacity-based Viewer blocks from July 2026. Tableau+ bundles Tableau Cloud with Tableau Next.

Looker (Google Cloud core) charges a platform fee by edition plus user licences. Standard suits organisations with fewer than 50 users; Enterprise adds private connections, customer-managed encryption keys and VPC Service Controls; Embed adds signed embedding and the highest API limits. Each edition includes 10 Standard and 2 Developer users. Developer users write LookML and use SQL Runner; Viewer users can view, filter, drill, schedule and download, but cannot use Explore or SQL Runner. Google does not publish list prices.

Ecosystems and working together

Tableau sits in the Salesforce ecosystem. Salesforce describes Tableau Next as an agentic analytics platform built on the Salesforce Platform and Data 360, with Tableau Semantics as its semantic layer, available through Tableau+. Looker sits in Google Cloud, alongside BigQuery and Data Studio.

The two are not exclusive. Google documents a generally available Looker BI connector for Tableau Desktop, so Tableau users can build views on governed LookML models. In our view this is a reasonable pattern where data engineering standardises on Looker but analysts prefer Tableau's canvas.

Pricing and licensing

Tableau. Tableau publishes per-role list prices on its pricing page (Creator, Explorer and Viewer, billed annually); we could not load that page to confirm the current figures, so check them there. Creator is the most expensive role and Explorer and Viewer cost less per user, Enterprise edition costs more, every deployment needs at least one Creator, and Tableau Cloud and Server plans require annual contracts. Tableau+ and the usage-based and capacity-based options are quoted by sales. Prices exclude tax; confirm current figures on Tableau's page.

Looker. Google's Looker pricing page, checked 7 October 2026, describes platform pricing by edition plus user pricing by type and asks buyers to contact sales; no list prices are published. Trial instances of Looker (Google Cloud core) last 90 days. Instances created after 1 August 2026 no longer include 50 free Data Studio Pro licences. The warehouse bill for the queries Looker runs is separate.

Pricing checked on the vendors' official pages on 7 October 2026. Prices change; confirm before buying.

Where each one leads

Limitations

When to choose each

When neither is right

• You are a Microsoft organisation with Fabric or Microsoft 365 E5: see Power BI vs Tableau and Power BI vs Looker.
• You want open source, self-hosted dashboards over SQL: see Metabase vs Apache Superset, Power BI vs Metabase and the best open source BI tools.
• You need free ad hoc reports on Google data: Data Studio (formerly Looker Studio) may be enough; see Looker vs Looker Studio.

Final recommendation

Frequently asked questions

Sources

• Tableau pricing
• Tableau help: Understanding license models
• Tableau technical specifications
• Tableau help: Connect to a custom SQL query
• Tableau help: FIXED level of detail expressions
• Tableau Embedding API v3
• Salesforce: Tableau Next
• Google Cloud: Looker pricing
• Looker docs: Looker (Google Cloud core) overview
• Looker docs: Editions and entitlements
• Looker docs: Supported dialects
• Looker docs: Dimension parameter
• Looker docs: Git version control
• Looker docs: BI connectors

Checked October 2026.

How we research comparisons: our editorial method.