Ambriel vs Dividend Data

Side-by-side comparison to help you choose the right product.

Ambriel is an AI-driven risk engine that detects and prevents real-time fraud to safeguard your revenue and build trust.

Last updated: March 1, 2026

Access 30+ years of dividend data and financial metrics instantly in Google Sheets or Excel with our free add-in for investors.

Last updated: March 11, 2026

Visual Comparison

Ambriel

Ambriel screenshot

Dividend Data

Dividend Data screenshot

Feature Comparison

Ambriel

Advanced Fraud Detection

Ambriel utilizes data from over 200 sources to detect suspicious activities in real-time. Its AI-driven risk scoring system is designed to protect revenue from potential fraud before significant losses occur.

Sanctions & PEP Screening

This feature automates compliance by screening against over 100 global sanctions, Politically Exposed Persons (PEP), and crime lists. This eliminates the need for time-consuming manual checks, enhancing efficiency and compliance.

Continuous Monitoring

Ambriel provides 24/7 tracking of transactions and accounts, enabling businesses to receive alerts on unusual patterns. This proactive monitoring helps prevent costly fraud cases before they escalate.

Seamless Onboarding

With customizable onboarding flows, Ambriel integrates automated checks to ensure that only trusted customers and sellers can access the platform. This reduces the risk of fraudulent sign-ups while maintaining a smooth user experience.

Dividend Data

Free Tier with Generous Credits

Dividend Data offers a free tier that includes 2,500 monthly credits with no expiration for trial usage. This feature allows users to explore the platform and utilize its capabilities without any upfront financial commitment, making it accessible to everyone from beginners to seasoned investors.

Custom Functions for Comprehensive Analysis

The software includes 16 custom functions that cover all essential aspects of dividend investing. These functions simplify the process of retrieving data, allowing users to perform analyses such as calculating forward dividend yields, payout ratios, and other crucial investment metrics effortlessly.

Extensive Historical Data Access

With over 30 years of historical data available, Dividend Data enables users to conduct in-depth analyses and comparisons over time. This extensive dataset empowers investors to make informed decisions based on long-term trends and patterns in stock performance.

Compatibility with Major Spreadsheet Platforms

Dividend Data seamlessly integrates with both Google Sheets and Microsoft Excel, providing users with flexibility and convenience. This compatibility ensures that investors can easily access and analyze their data in the software they are most comfortable using, enhancing their overall experience.

Use Cases

Ambriel

Onboarding & Registration Fraud

Ambriel excels in detecting fake accounts, synthetic identities, and bot-driven signups during the onboarding process. This preemptive action prevents fraudsters from exploiting the platform.

Payment & Transaction Fraud

Real-time transaction monitoring allows Ambriel to identify anomalies, thus preventing chargebacks and blocking fraudulent transfers. This is crucial for maintaining financial integrity.

Bonus & Promotion Abuse

By stopping multi-accounting, referral scams, and the exploitation of promotional incentives, Ambriel ensures fair rewards for all users. This fosters trust and integrity within the platform.

Claims & Payout Fraud

Ambriel flags suspicious claims and payout attempts using automated risk scoring, particularly beneficial for fintech and insurance sectors. This feature streamlines the claims process while mitigating risk.

Dividend Data

Dividend Growth Analysis

Investors can utilize Dividend Data to analyze the growth of dividends over time for specific stocks. By accessing historical data, users can identify trends and make informed predictions about future dividend payments, aiding in portfolio management decisions.

Portfolio Tracking and Management

Dividend Data allows users to track their dividend income and overall portfolio performance automatically. By linking their portfolios to the platform, investors can view aggregate statistics, which helps in assessing the health and performance of their investments.

Real-Time Stock Analysis

With just a few keystrokes, users can retrieve real-time stock data, allowing for quick decision-making during trading hours. This feature is crucial for active investors looking to capitalize on market movements as they happen.

Financial Ratios Evaluation

The platform provides access to key financial ratios, which are essential for evaluating a company's financial health. Investors can analyze metrics such as Price-to-Earnings (PE) ratios and earnings per share (EPS), facilitating a deeper understanding of potential investment opportunities.

Overview

About Ambriel

Ambriel is a cutting-edge fraud intelligence and risk management platform specifically designed for the digital economy. It caters to a diverse range of industries, including fintech companies, online marketplaces, retailers, and iGaming platforms. The primary objective of Ambriel is to help these businesses operate securely, comply with regulatory standards, and safeguard their user base while ensuring a seamless experience for legitimate customers. Its main value proposition is the proactive detection, scoring, and prevention of sophisticated fraud, which can severely impact revenue and harm reputations. By integrating behavioral analytics, device fingerprinting, global sanctions screening, and real-time risk scoring, Ambriel creates a robust ecosystem that analyzes numerous signals—from transaction details to user behavior patterns and device attributes—to uncover hidden risk patterns. This all-encompassing approach is critical, as industry reports indicate a continuous rise in fraud attempts against digital businesses, emphasizing the necessity for layered and intelligent defense systems.

About Dividend Data

Dividend Data is an innovative tool designed specifically for dividend and fundamental investors, providing unprecedented access to over 30 years of stock market data for more than 80,000 tickers. This powerful software integrates directly into Google Sheets and Microsoft Excel, eliminating the need for API keys, coding, or tedious manual data entry. Users can gain instant insights into critical metrics such as dividends, yields, payout ratios, growth rates, financial statements, earnings, ratios, and price history through simple custom formulas. The platform is built by a dividend investor for dividend investors, ensuring that it meets the specific needs of its users. With a free tier that offers 2,500 monthly credits and no trial expiration, Dividend Data is ideal for both novice and experienced investors seeking institutional-grade data without incurring high costs.

Frequently Asked Questions

Ambriel FAQ

What types of businesses can benefit from Ambriel?

Ambriel is tailored for fintech companies, online marketplaces, retailers, iGaming platforms, and any digital service providers looking to enhance fraud prevention and risk management.

How does Ambriel ensure compliance with regulations?

Ambriel automates the screening process against global sanctions and PEP lists, ensuring that businesses remain compliant without the burden of manual checks.

Can Ambriel adapt to different industries?

Yes, Ambriel is designed to be versatile, offering solutions that cater to various sectors, including financial services, retail, e-commerce, iGaming, insurance, and more.

How quickly can businesses see results with Ambriel?

Many users report significant improvements in fraud detection and prevention within weeks of implementing Ambriel, making it a valuable asset for organizations aiming to enhance security swiftly.

Dividend Data FAQ

How does Dividend Data integrate with Google Sheets and Excel?

Dividend Data integrates seamlessly with both Google Sheets and Microsoft Excel through add-ons, allowing users to access stock market data directly within their spreadsheets. This eliminates the need for separate applications or manual data entry.

Is there a cost associated with using Dividend Data?

Yes, Dividend Data offers a free tier with 2,500 monthly credits, allowing users to explore its features without any upfront cost. Additional usage may require a subscription plan, depending on the user's needs.

What types of data can I access with Dividend Data?

Users can access a wide range of data, including dividends, yields, payout ratios, growth rates, financial statements, earnings, ratios, price history, and over 100 other metrics essential for dividend and fundamental investing.

Can I use Dividend Data for automated portfolio tracking?

Yes, Dividend Data includes features for automated portfolio tracking, enabling users to link their investment portfolios to the platform. This allows for real-time updates and performance statistics, streamlining the investment management process.

Alternatives

Ambriel Alternatives

Ambriel is an AI-powered risk engine specifically designed for the digital economy, providing advanced fraud detection and prevention solutions. As a comprehensive platform, it caters to fintech companies, online marketplaces, retailers, and iGaming platforms by integrating behavioral analytics, device fingerprinting, and real-time risk scoring to protect revenue and maintain compliance. Users often seek alternatives to Ambriel due to various reasons, including pricing constraints, specific feature requirements, or the need for compatibility with existing platforms. When choosing an alternative, it’s essential to consider factors such as the robustness of the risk scoring engine, the comprehensiveness of compliance automation, scalability, and user-friendliness to ensure that the chosen solution meets the organization's unique needs.

Dividend Data Alternatives

Dividend Data is a comprehensive tool designed for dividend and fundamental investors, offering over 30 years of stock market data for more than 80,000 tickers. It allows users to easily access essential financial metrics and historical data directly within Google Sheets and Microsoft Excel, streamlining the investment analysis process. Given the diverse needs of investors, users often seek alternatives to Dividend Data due to factors such as pricing structures, specific feature sets, or compatibility with preferred platforms. When searching for an alternative, it is crucial to consider the features offered, including the depth of data available, the ease of integration with existing tools, and the overall cost-effectiveness. Additionally, the user experience and support services should also be evaluated to ensure that the chosen solution aligns with investment strategies and data needs.

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