Google ADK vs Relevance AI

Comprehensive side-by-side comparison — features, pricing, performance, and more.

Data last refreshed October 2026

Google ADK

Google

Build production agents, not prototypes.

Open Source

75% verification coverage

Relevance AI

OnSearch Pty Ltd

Specialist agents for every task

Paid

80% verification coverage

Trust & Reliability

Google ADK

Customers (per vendor):Revionics

Relevance AI

Customers (per vendor):Canva, Autodesk, Lightspeed Commerce +5

GDPR

SOC 2

Overall Winner: Relevance AI

7.3/10 vs Google ADK at 5.3/10

Leads in:

Customization

Integration

Performance

Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →

AI Comparison Summary

Google ADK

5.3

avg score

Relevance AI

7.3

avg score

Relevance AI leads overall — particularly in Customization and Integration and 2 more.

Based on 6 dimensions

Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →

Overall Winner

Relevance AI

7.3 / 10

Google ADK

Best For

Developers building AI agents

Enterprises deploying AI agents at scale

Teams needing reliable AI agent workflows

Relevance AI

Best For

Enterprise teams looking to scale AI agent deployment

Organizations aiming to automate complex workflows

Sales teams needing to personalize outbound engagement

Customer success teams managing renewals and inbounds

* Verdict is based on our algorithmic scoring of publicly available data. Learn about our methodology

Google ADK is best for

🤖Automation & Agents7.8🎧Customer Support6.0📊Data & Analytics5.0

Relevance AI is best for

🤖Automation & Agents7.5💬Chat & Conversation6.3🎧Customer Support6.0

Filter by your use case:

Limitations

Google ADK

Cons

Requires Python 3.10+ or Java 17+ for certain runtime requirements
Deployment to production requires synchronous definition of McpToolset in agent.py
Does not automatically re-establish active MCP connections upon session restoration

Relevance AI

Cons

Multi-agent systems like the BDR agent are only available via the sales team.
The platform is primarily designed for enterprise teams, suggesting a higher barrier to entry for smaller businesses.
Specific details on data retention periods are not explicitly stated beyond general security measures.
The pricing for enterprise features is custom and requires contacting sales, lacking transparency for initial budgeting.

Weighted Score — Adjust What Matters to You

Pick a profile or drag sliders — scores and radar update instantly on the right.

Quick profiles:

Ease of Use5

Customization5

Support5

Integration5

Compliance & Data Protection5

Performance5

Planning Quality5

Dimension Comparison

Google ADK

5.3

/ 10

Relevance AI

7.3

/ 10

Clear winner

Dimension Breakdown

Ease of Use

How intuitive is onboarding, UI navigation, and day-to-day usage for the target audience?

Google ADK

2.0

Relevance AI

2.0

Customization

Calculated

How much can users tailor workflows, settings, prompts, or outputs to their needs?

Google ADK

8.0

Relevance AI

10.0▲ +2.0

Support

How strong is the documentation, customer support, community, and learning resources?

Google ADK

8.0

Relevance AI

8.0

Integration

Calculated

How well does it connect with other tools, APIs, and workflows?

Google ADK

8.0

Relevance AI

10.0▲ +2.0

Compliance & Data Protection

Calculated

Compliance certifications and data-protection posture, counted from ten verified signals: SOC 2 Type II, GDPR compliance, HIPAA, WCAG AA/AAA, PII redaction, licensed-only training, a published sub-processor list, a downloadable DPA, not training on user data, and a documented deletion path

Google ADK

1.0

Relevance AI

6.0▲ +5.0

Performance

Calculated

Latency + throughput speed

Google ADK

5.0

Relevance AI

8.0▲ +3.0

Planning Quality

Calculated

Multi-step planning depth + replanning capability

Google ADK

—

Relevance AI

—

Calculated = derived from structured signals (integration count, API/open-source config, compliance certs, response-time). AI = LLM-assessed from public website content. Methodology

Task Performance

Google ADK

Task

Relevance AI

8.0

Role Definition

8.0

7.0

Task Decomposition

7.0

9.0

Agent Coordination

8.0

Inter Agent Communication

7.0

9.0

Workflow Orchestration

8.0

Tool Use Delegation

8.0

State Management

7.0

Error Recovery

7.0

8.0

Observability

8.0

7.0

Scalability Throughput

7.0

8.0

Task Delegation

8.0

Parallel Execution

7.0

* Task scores (1–10) are algorithmically generated from publicly available data.

Data is sourced from public information and vendor websites. It may not always be up-to-date — verify pricing and features directly with the vendor before purchasing.Report inaccuracy

Frequently Asked Questions

What are the main differences between Google ADK and Relevance AI?

Google ADK — "Build production agents, not prototypes". Relevance AI — "Specialist agents for every task". The Features section on this page compares them side by side.

Who is Google ADK best for compared with Relevance AI?

Google ADK is best for Developers building AI agents; and for Enterprises deploying AI agents at scale. Relevance AI is best for Enterprise teams looking to scale AI agent deployment; and for Organizations aiming to automate complex workflows.

How does the pricing of Google ADK compare with Relevance AI?

Google ADK is open source, includes a free plan. Relevance AI is paid, includes a free plan, offers a free trial. Always verify current pricing with the vendor.

Does Google ADK or Relevance AI have a free plan?

Google ADK is open source. Relevance AI has a free plan and offers a free trial. Always verify current pricing with the vendor.

Do Google ADK and Relevance AI offer an API?

Google ADK offers a public API. Relevance AI offers a public API.

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