Gemini in Looker vs Adept
Detailed side-by-side comparison to help you choose the right tool
Gemini in Looker
Business AI Solutions
Google's AI assistant integrated into Looker that helps users analyze data through natural language queries and generates insights from business intelligence dashboards.
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CustomAdept
🔴DeveloperBusiness AI Solutions
Adept AI licenses its ACT-1 Action Transformer technology to enterprise partners, enabling them to build AI agents that visually control any computer software using natural language commands. Through its partnership model, Adept provides screen-reading AI models, proprietary training datasets, and technical consultation for building custom agentic automation solutions—offering an alternative to traditional RPA platforms for organizations with complex, multi-application workflows.
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Gemini in Looker - Pros & Cons
Pros
- ✓Grounded in Looker's governed semantic layer (LookML), which reduces hallucinations and respects existing access controls and metric definitions
- ✓Six distinct AI assistants cover the full BI workflow from data exploration to slide generation, more comprehensive than most competing BI Copilots
- ✓Tight integration with BigQuery and the broader Google Cloud data stack makes it a natural fit for existing GCP customers
- ✓LookML Code Assistant accelerates developer productivity by generating semantic model code from natural language prompts
- ✓Automatic Slide Generation directly exports dashboard content to Google Slides, useful for executive reporting workflows
- ✓Available across multiple languages including English, Spanish, French, German, Japanese, Korean, and Portuguese for global teams
Cons
- ✗Requires an existing Looker license plus a separate Gemini in Looker add-on, layering enterprise costs on top of Google Cloud spend
- ✗Quality of AI responses depends heavily on the quality of LookML modeling — poorly modeled instances will produce poor results
- ✗Locked to the Looker ecosystem, so teams using Tableau, Power BI, or other BI platforms cannot benefit
- ✗Some features remain in preview or limited availability, with capabilities and regions rolling out gradually
- ✗Public pricing is not transparently listed; customers must contact Google Cloud sales for licensing quotes
Adept - Pros & Cons
Pros
- ✓Works with any desktop or web application without requiring API integrations - ideal for legacy systems and custom enterprise software
- ✓Natural language interface makes automation accessible to non-technical business users without requiring Python, JavaScript, or RPA scripting knowledge
- ✓Advanced reinforcement learning adaptation handles interface changes and unexpected scenarios, reducing the 30-40% maintenance overhead typical of traditional RPA deployments
- ✓Backed by $415M in funding with founding team including Ashish Vaswani (transformer architecture co-inventor) and former Google/OpenAI research leads
- ✓ACT-1 model can execute multi-step workflows spanning 10+ applications in a single natural language command, eliminating manual context switching
- ✓Enterprise-grade partnership model provides deep customization and dedicated technical consultation unavailable from off-the-shelf RPA vendors
Cons
- ✗Partnership-only access model with no self-service signup or public availability—requires direct enterprise sales engagement and significant upfront investment
- ✗No transparent pricing published; licensing fees, professional services, and ongoing consultation costs are negotiated per partnership
- ✗Requires extensive screen access permissions that may conflict with zero-trust security policies and SOC 2/HIPAA compliance frameworks
- ✗Following 2024 strategic shift, key talent moved to Amazon—raising questions about long-term product roadmap continuity for partners
- ✗Visual-only automation cannot handle command-line interfaces, headless servers, or API-only backend systems common in modern DevOps workflows
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