Ambriel vs Dividend Data
Side-by-side comparison to help you choose the right product.
Ambriel
Ambriel integrates real-time AI fraud detection to secure transactions and protect revenue.
Last updated: March 1, 2026
Dividend Data
Get data & 30+ yrs history in Sheets/Excel fast.
Visual Comparison
Ambriel

Dividend Data

Overview
About Ambriel
Ambriel is an advanced, API-first fraud intelligence and risk management platform engineered for the modern digital enterprise. It provides a unified, tech-stack oriented ecosystem that integrates behavioral analytics, device intelligence, sanctions screening, and real-time risk scoring into a single, cohesive layer. Designed specifically for high-velocity sectors like fintech, marketplaces, retail, iGaming, and crypto, Ambriel empowers businesses to proactively detect, score, and mitigate sophisticated fraud threats—including multi-accounting, payment fraud, synthetic identities, and money laundering—without introducing friction for legitimate users. Its core value proposition lies in its ability to protect revenue and build trust by analyzing a multitude of data points from over 200 sources, uncovering hidden risk patterns, and automating the mitigation process. This allows development and compliance teams to focus on core growth initiatives while ensuring robust security and regulatory adherence, all supported by certifications like PCI DSS, ISO 27001, and GDPR readiness.
About Dividend Data
Dividend Data brings 30+ years of stock market data for 80,000+ tickers directly into your Google Sheets and Microsoft Excel spreadsheets — no API keys, no coding, no copying and pasting.
Built for dividend & fundamental investors, it gives you instant access to dividends, yields, payout ratios, growth rates, financial statements, earnings, ratios, price history, and 100+ metrics through simple custom formulas.
Just type a formula. The data appears live.
What makes it different:
• Free tier with 2,500 monthly credits — no trial expiration
• 16 custom functions covering everything dividend investors need
• 30+ years of historical data
• Works in both Google Sheets and Microsoft Excel
• Built by a dividend investor, for dividend investors
Used by fundamental investors who want institutional-grade data without the institutional price tag.