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GoodData.AI

Updated Jul 25, 2026
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Accelerate AI adoption with a governed semantic layer. Deliver agentic analytics, embedded BI, and real-time decisions at enterprise scale. #1 on TrustRadius.

#ai analytics#business intelligence#embedded analytics#data governance#agentic analytics
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Editor's Verdict

Rating: 4.5/5.0Reviewed by RAGWiki
At Contact us, GoodData.AI stands out as a powerful solution in the analytics,business intelligence,ai platform,embedded analytics,data governance landscape. It is especially well-suited for professionals like Data Analyst and Product Manager. However, potential buyers should note that it might not be perfect if you are strictly trying to avoid lack of transparent pricing. Overall, it offers a robust toolset that significantly accelerates workflows.

Key Takeaways

  • AI-powered BI
  • Agentic analytics
  • Governed Semantics
  • Embedded Analytics

In-Depth Review: What is GoodData.AI?

"

GoodData is the trusted analytics platform designed to power AI-enabled, agentic, and embedded decision-making. It provides a governed semantic foundation, open architecture, and API-first design. Recognized as a Gartner Visionary, GoodData helps organizations modernize analytics with AI-powered BI, automated agents, and scalable insights. With over 4.6 million satisfied customers and top ratings on G2, TrustRadius, and Gartner, GoodData enables businesses to turn data into decisions quickly and securely, whether on cloud or on-prem.

Core Features

AI-powered BI

AI-driven clarity, actionable insights, and real-time decisions at enterprise scale.

Agentic analytics

Automated agents and workflows for decision-making.

Governed Semantics

Define business logic once in a governed semantic layer for reliable insights.

Embedded Analytics

Deliver AI-enabled dashboards and agents directly inside your product.

Open Architecture

Modern, open architecture for AI velocity and seamless integration with cloud ecosystems.

Secure by Design

Trusted agents with leading security, deployable on cloud or on prem.

AI Assistant

Built-in data analyst with 20+ analytics skills for natural language insights.

Agent Builder

Build and deploy governed AI agents for custom workflows.

Pricing

Professional

Contact us
  • AI Assistant with 20+ Analytics Skills
  • Dashboard Copilot
  • Summarization Copilot
  • Custom Agents
  • Agent Builder
  • Context Management
  • Analytics Catalog
  • AI Memory
  • AI Knowledge
  • Semantic Quality Agent
  • Anomaly Detection
  • Key Driver Analysis
  • Forecasting
  • Clustering
  • AI Usage Analytics
  • Observability
  • BYOLLM
  • MCP Server with 30+ Tools
  • A2A Protocol
  • IDE Extension
  • React and Python SDK for Gen AI
  • Business Intelligence
  • AI Lake
Most Popular

Enterprise

Custom
  • Everything in Professional
  • Custom agents and Agent Builder
  • Context Management and AI governance
  • SLA support and dedicated customer success

Pros and Cons

Pros

  • AI-Enabled PlatformBuilt for AI, agentic, and embedded decision-making with governed semantic foundation.
  • Strong Embedding CapabilitiesEasily embed AI dashboards and agents into customer products.
  • Enterprise-Grade SecuritySecure by design, deployable on cloud or on-prem with compliance.
  • Analyst RecognizedListed in Gartner Magic Quadrant and high ratings from G2 and TrustRadius.
  • Multi-Tenancy SupportOne platform serving many customers with hierarchy and branding.

Cons

  • Lack of Transparent PricingNo publicly listed prices; requires contacting sales for both plans.
  • No Free TierNo mention of a free plan or trial, which may deter small businesses.
  • Complexity for Small TeamsGeared towards medium to large enterprises; may be overwhelming for startups.
  • Limited Self-Service OptionsPricing page shows 'Contact us' for most features, indicating need for sales interaction.
  • Potential High CostPer-workspace pricing and enterprise custom pricing could be expensive for high volumes.

Use Cases & Recommended Profession

Data Analyst→ View Toolkit

Needs to build governed dashboards and AI insights without coding.

Product Manager→ View Toolkit

Wants to embed analytics and AI agents directly into product to enhance user experience.

Software Engineer→ View Toolkit

Integrates APIs and SDKs to embed analytics and build custom agentic workflows.

BI Developer→ View Toolkit

Designs multi-tenant reporting solutions with semantic layer governance.

E-commerce Manager→ View Toolkit

Requires real-time customer insights and embedded dashboards for operations.

Data Engineer→ View Toolkit

Leverages open architecture and Analytics Lake to unify data sources for AI readiness.

Frequently Asked Questions

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ℹ️ Curation Disclosure: The overview and features of GoodData.AI were synthesized using AI and fact-checked by our curation team to ensure accuracy.

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