Count vs Preset

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

Preset

Preset, Inc.

AI-Native BI Built on Apache Superset™

Freemium

80% verification coverage

Trust & Reliability

Count

Uptime:99.96%Status page

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

GDPR

SOC 2

HIPAA

Preset

Uptime:100%Status page

Customers (per vendor):OpenTable, Lufthansa, Red Hat +7

GDPR

SOC 2

HIPAA

Too Close to Call

Preset (6.9) vs Count (6.6) — difference of 0.3 points

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

Preset

6.9

avg score

Both tools score very similarly overall — the best choice depends on your specific priorities.

Based on 7 dimensions

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

Too close to call — it's a tie

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

Preset

Best For

Small teams exploring Superset in the cloud

Organizations needing secure collaboration with unlimited users

Large organizations requiring deployment at scale with AI agent access

Engineering teams replacing in-house agent orchestrators

* 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

Preset is best for

🎨Image & Design9.0✍️Writing & Content7.0💻Coding & Dev7.0

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

Preset

Cons

Conversation data is retained for a maximum of six months
Embedded dashboards require additional viewer licenses
Managed Private Cloud deployment is only available on the Enterprise plan
API access is an add-on feature for Enterprise plans
Dedicated support via Slack is an add-on feature for Enterprise plans

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

Preset

6.9

/ 10

Your pick

Dimension Breakdown

Ease of Use

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

Count

6.0

Preset

7.0▲ +1.0

Customization

Calculated

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

Count

7.0▲ +1.0

Preset

6.0

Support

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

Count

6.0

Preset

6.0

Integration

Calculated

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

Count

8.0

Preset

8.0

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

Preset

8.0▲ +2.0

Performance

Calculated

Latency + throughput speed

Count

5.0

Preset

8.0▲ +3.0

Planning Quality

Calculated

Multi-step planning depth + replanning capability

Count

8.0▲ +3.0

Preset

5.0

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

Preset

8.0

Data Visualization

9.0

Natural Language Queries

8.0

Dashboard Creation

9.0

6.0

Data Cleaning

3.0

5.0

Predictive Analytics

3.0

8.0

Automated Insights

6.0

9.0

Data Integration

9.0

Report Generation

7.0

5.0

Anomaly Detection

5.0

10.0

Collaboration Sharing

8.0

* 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 Preset?

Count — "Making AI’s mistakes visible". Preset — "AI-Native BI Built on Apache Superset™". The Features section on this page compares them side by side.

Who is Count best for compared with Preset?

Count is best for Small teams needing to audit AI outputs for accuracy; and for Analysts building live reports and dashboards. Preset is best for Small teams exploring Superset in the cloud; and for Organizations needing secure collaboration with unlimited users.

How does the pricing of Count compare with Preset?

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

Does Count or Preset have a free plan?

Count has a free plan. Preset has a free plan and offers a free trial. Always verify current pricing with the vendor.

Do Count and Preset offer an API?

Count offers API access on its enterprise plans. Preset offers API access on its enterprise plans.

Explore Alternatives

Count Alternatives

Tools similar to Count

Preset Alternatives

Tools similar to Preset

Compare More AI Tools

Use our comparison tool to compare up to 5 AI tools side-by-side with AI-powered recommendations.