Count vs Defog

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

Data last refreshed October 2026

Count

Count Technologies Ltd

Making AI’s mistakes visible.

Freemium

80% verification coverage

Defog

Defog, Inc.

Never wait for data again

Paid

79% verification coverage

Trust & Reliability

Count

Uptime:99.96%Status page

Customers (per vendor):Accenture, Bumble, Cleo +7

GDPR

SOC 2

HIPAA

Defog

Users:100K-1M

Customers (per vendor):Toyota, Alliance Bernstein, Macmillan +1

Overall Winner: Count

6.6/10 vs Defog at 6.0/10

Leads in:

Integration

Planning Quality

Compliance & Data Protection

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

AI Comparison Summary

Count

6.6

avg score

Defog

6.0

avg score

Count leads overall — particularly in Compliance & Data Protection.

Defog has an edge in Ease of Use.

Based on 7 dimensions

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

Overall Winner

Count

6.6 / 10

Count

Best For

Small teams needing to audit AI outputs for accuracy

Analysts building live reports and dashboards

Teams conducting exploratory data analysis

Researchers verifying facts from sales-call transcripts and surveys

Defog

Best For

Enterprise organizations needing fast data insights

Data analysts looking to explore broad hypotheses and drill down into specifics

Teams requiring privacy-first AI data analysis

Organizations with diverse data sources including databases, SaaS tools, and CSVs

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

Count is best for

🎨Image & Design8.0💻Coding & Dev7.7📊Data & Analytics7.3

Defog is best for

🎨Image & Design7.0💻Coding & Dev6.0📊Data & Analytics6.0

Filter by your use case:

Limitations

Count

Cons

Free tier is limited to 1 project, 3 canvases, and 5 users
Free tier has daily AI credit limits and limited models
Free tier allows only 1 database/MCP connection and 2 automations
No model training on user data, which may limit custom model fine-tuning
Output generated by AI is error-prone and not verified by Count for accuracy
Count AI is not intended to substitute for properly trained and licensed individuals

Defog

Cons

Self-hosted models require an annual commitment
Free API key is limited to 5 tables, 25 columns, and 1000 queries per month
The site is provided on an "as-is" and "as available" basis with limited warranties
Company has no obligation to provide support in connection with the site

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

Count

6.6

/ 10

Your pick

Defog

6.0

/ 10

Dimension Breakdown

Ease of Use

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

Count

6.0

Defog

9.0▲ +3.0

Customization

Calculated

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

Count

7.0

Defog

7.0

Support

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

Count

6.0

Defog

6.0

Integration

Calculated

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

Count

8.0▲ +1.0

Defog

7.0

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

Count

6.0▲ +5.0

Defog

1.0

Performance

Calculated

Latency + throughput speed

Count

5.0

Defog

5.0

Planning Quality

Calculated

Multi-step planning depth + replanning capability

Count

8.0▲ +1.0

Defog

7.0

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

Count

Task

Defog

8.0

Data Visualization

7.0

9.0

Natural Language Queries

9.0

8.0

Dashboard Creation

4.0

6.0

Data Cleaning

4.0

5.0

Predictive Analytics

5.0

8.0

Automated Insights

6.0

9.0

Data Integration

8.0

9.0

Report Generation

6.0

5.0

Anomaly Detection

4.0

10.0

Collaboration Sharing

6.0

* 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 Count and Defog?

Count — "Making AI’s mistakes visible". Defog — "Never wait for data again". The Features section on this page compares them side by side.

Who is Count best for compared with Defog?

Count is best for Small teams needing to audit AI outputs for accuracy; and for Analysts building live reports and dashboards. Defog is best for Enterprise organizations needing fast data insights; and for Data analysts looking to explore broad hypotheses and drill down into specifics.

How does the pricing of Count compare with Defog?

Count is freemium, includes a free plan, paid plans start at $49/month. Defog is paid, paid plans start at $5000/month. Always verify current pricing with the vendor.

Does Count or Defog have a free plan?

Count has a free plan. Defog lists no free plan. Always verify current pricing with the vendor.

Do Count and Defog offer an API?

Count offers API access on its enterprise plans. Defog offers a public API.

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