Drata vs Dataland

Side-by-side comparison of AI visibility scores, market position, and capabilities

Drata leads in AI visibility (42 vs 37)
Drata logo

Drata

ChallengerAPI/Integration Platforms

Compliance Automation

$100M ARR Feb 2025 (+61% YoY from $59M 2023); $2B valuation Dec 2022; $420M+ total funding; 7,000 customers (+55% YoY); 23 compliance frameworks; customers: Notion, OpenAI, PagerDuty; GRC market $15B 2025; compliance automation leader

AI VisibilityBeta
Overall Score
C42
Category Rank
#1 of 4
AI Consensus
80%
Trend
stable
Per Platform
ChatGPT
37
Perplexity
42
Gemini
42

About

Drata is a continuous security and compliance automation platform founded in 2020 by Adam Markowitz, Daniel Marashlian, and Waldo Grunewald in San Diego, California, built to automate the evidence collection, control monitoring, and audit preparation workflows that security compliance programs require. The company was founded by executives who had previously built and sold a compliance-adjacent company (Portfolium to Instructure) and experienced firsthand the manual burden of preparing for SOC 2 audits — a process that consumed weeks of engineering and operations time and had to be repeated annually. Drata's founding insight was that the evidence for compliance controls already exists in cloud infrastructure, identity providers, and SaaS tools, and that automating its continuous collection could transform compliance from a periodic scramble into an always-on, auditor-ready state.\n\nDrata's platform automates compliance across 23 frameworks including SOC 2, ISO 27001, HIPAA, PCI DSS, GDPR, CCPA, and FedRAMP, connecting to 200+ integrations across cloud providers, identity systems, endpoint management, ticketing tools, and HR platforms to continuously collect evidence and monitor control status. The platform provides a real-time compliance dashboard, automated risk management, vendor management, employee security training, and access reviews. Drata's in-platform auditor collaboration capability allows audit firms to access evidence directly, replacing email chains and shared drives with a structured audit workflow. The company serves technology companies, healthcare organizations, financial services firms, and any company needing to demonstrate security compliance to enterprise customers.\n\nDrata reached $100 million in annual recurring revenue in February 2025, up 61% year over year, and serves over 7,000 customers — up 55% year over year. The company holds a $2 billion valuation with more than $420 million in total funding from investors including Salesforce Ventures, Iconiq Growth, Alkeon Capital, and GGV Capital. Its rapid ARR growth, exceptional customer expansion rate, and expanding framework coverage position Drata as the market leader in continuous compliance automation as security and regulatory requirements become a prerequisite for enterprise software sales.

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Dataland logo

Dataland

EmergingDeveloper Tools & Platforms

General

NY no-code collaborative database with workflow automation received M&A offer April 2025; YC W20 $1M revenue competing with Airtable and Notion for business operations teams without SQL expertise.

AI VisibilityBeta
Overall Score
D37
Category Rank
#230 of 1158
AI Consensus
46%
Trend
up
Per Platform
ChatGPT
29
Perplexity
47
Gemini
31

About

Dataland is a New York-based no-code collaborative data management platform — backed by Y Combinator (W20) with funding from South Park Commons and Switch Ventures — providing business teams with a spreadsheet-like interface for centralizing, structuring, and automating business data workflows without SQL expertise, generating $1 million in revenue in 2024 with a 5-9 person team. Received an M&A offer in April 2025, positioning as a competitive alternative to Airtable and Notion in the growing no-code database market.

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AI Visibility Head-to-Head

42
Overall Score
37
#1
Category Rank
#230
80
AI Consensus
46
stable
Trend
up
37
ChatGPT
29
42
Perplexity
47
42
Gemini
31
46
Claude
34
44
Grok
48

Capabilities & Ecosystem

Capabilities

Only Drata
Compliance Automation

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