Ambriel vs Dividend Data

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

Ambriel detects and prevents fraud in real-time, ensuring revenue protection and customer trust across multiple.

Last updated: March 1, 2026

Get instant stock data like dividends and financials directly in your Google Sheets or Excel spreadsheets.

Last updated: March 11, 2026

Visual Comparison

Ambriel

Ambriel screenshot

Dividend Data

Dividend Data screenshot

Feature Comparison

Ambriel

Advanced Fraud Detection

Ambriel utilizes AI-driven risk scoring derived from over 200 data sources to identify suspicious activities in real-time. This feature helps businesses protect their revenue by addressing potential fraud incidents before they escalate.

Sanctions & PEP Screening

This feature automates the screening process against more than 100 global sanctions, PEP, and crime lists, eliminating the need for manual checks. This ensures that businesses remain compliant with regulatory requirements while streamlining their operations.

Continuous Monitoring

Ambriel offers 24/7 monitoring of transactions and accounts, providing alerts on unusual patterns before they can lead to costly fraud cases. This continuous oversight helps businesses maintain a secure environment for their users.

Seamless Onboarding

With customizable onboarding flows, Ambriel automates checks to ensure that only verified and trusted customers and sellers are onboarded. This feature enhances the user experience while maintaining stringent security protocols.

Dividend Data

Comprehensive Spreadsheet Functions

Dividend Data provides 16 custom functions that cover every essential data point for fundamental analysis. Simply type formulas like =DIVIDENDDATA_DIVIDENDS("TICKER") to pull forward dividends, yields, and ex-dates, or use =DIVIDENDDATA_RATIOS() and =DIVIDENDDATA_METRICS() for valuation multiples and financial statement items. This turns your spreadsheet into a dynamic, auto-updating research dashboard, replacing hours of manual data collection with instant, reliable results.

Extensive Historical Data Library

Access over 30 years of historical market and financial data for a universe of 80,000+ global tickers. This deep history is crucial for conducting robust long-term analysis, calculating consistent dividend growth rates, assessing company performance through multiple market cycles, and building reliable financial models. The data is standardized and clean, ready for immediate use in your analysis.

Dual-Platform Compatibility

The tool works seamlessly in both Google Sheets and Microsoft Excel environments. Whether you collaborate in the cloud with Google Workspace or prefer the advanced capabilities of desktop Excel, you get the same consistent formulas and data quality. This flexibility ensures teams and individual investors can use their preferred platform without sacrificing functionality or data access.

AI-Powered Research Assistant

Available in the Pro Terminal, the AI Analyst acts as a dedicated research assistant. You can chat with it to screen for stocks based on custom criteria, get explanations of financial metrics, summarize company performance, and generate investment theses. This feature accelerates the initial research phase by providing instant, data-backed insights and answers to complex analytical questions.

Use Cases

Ambriel

Onboarding & Registration Fraud

Ambriel effectively detects fake accounts, synthetic identities, and bot-driven signups during the onboarding process. This proactive identification prevents potential exploitation of platforms before it occurs.

Payment & Transaction Fraud

By monitoring real-time transactions, Ambriel can spot anomalies and prevent chargebacks. This use case is crucial for businesses to block fraudulent transfers and protect their financial interests.

Bonus & Promotion Abuse

Ambriel helps businesses combat multi-accounting and referral scams that exploit promotional incentives. By ensuring fair access to rewards, this use case safeguards the integrity of incentive programs.

Account Takeover Protection

This feature identifies unusual login behaviors, device changes, and credential stuffing attempts, enhancing customer security. It ensures that genuine users can access their accounts without fear of unauthorized access.

Dividend Data

Building a Dividend Growth Screener

Create a dynamic stock screener directly in your spreadsheet to identify companies that meet specific dividend investment criteria. Use functions to pull dividend yield, payout ratio, and 5-year dividend growth rate for thousands of stocks simultaneously. Filter and sort to find companies with a yield above 3%, a payout ratio below 60%, and consistent annual growth, all with data that updates automatically.

Automating Portfolio Tracking and Reporting

Manually updating a portfolio spreadsheet with current prices, dividend payments, and yield-on-cost is time-consuming. With Dividend Data, link your holdings using the ticker symbols. Formulas will automatically pull the latest price, dividend announcements, and ex-dates, giving you a real-time view of your portfolio's income, valuation, and performance without any manual input.

Conducting Deep Fundamental Valuation Analysis

Perform thorough company analysis by building a integrated model that pulls live data. Use functions to import years of income statement, balance sheet, and cash flow data directly into your discounted cash flow (DCF) or ratio analysis model. This allows you to test valuation scenarios with current and historical data, ensuring your analysis is based on the most accurate and recent figures available.

Preparing Investment Committee Reports

Quickly generate professional, data-rich reports for presentations or investment reviews. Instead of manually compiling charts and tables from multiple sources, use your spreadsheet with live Dividend Data links to create executive summaries showing key metrics, dividend histories, and peer comparisons. The data refreshes automatically, ensuring every report is based on the latest market information.

Overview

About Ambriel

Ambriel is an advanced fraud intelligence and risk management platform specifically designed to bolster security for digital businesses across various sectors, including fintech, marketplaces, retail, and iGaming. Its primary goal is to empower organizations by enhancing security measures, ensuring compliance with regulatory standards, and fostering user trust. Ambriel integrates a comprehensive suite of features such as behavioral analytics, device intelligence, sanctions screening, and real-time risk scoring into a cohesive ecosystem. This unique combination enables businesses to proactively identify, assess, and mitigate fraudulent activities, thereby protecting revenue and reputation. By analyzing user behaviors, transactions, devices, and network signals, Ambriel uncovers hidden risk patterns and automates mitigation strategies. It effectively detects a wide array of suspicious activities, including multi-accounting, bonus abuse, referral fraud, synthetic identity creation, payment fraud, and money laundering in real-time, ensuring that organizations can act swiftly to prevent potential threats.

About Dividend Data

Dividend Data is a powerful financial data platform designed to eliminate the tedious manual work of stock research. It brings institutional-grade market data directly into the tools investors already use: Google Sheets and Microsoft Excel. The core product is a spreadsheet add-in that provides instant access to over 30 years of historical data for more than 80,000 tickers through simple, custom formulas. Built specifically for dividend and fundamental investors, it delivers critical metrics like dividend amounts, yields, payout ratios, growth rates, full financial statements, earnings, valuation ratios, and price history without requiring API keys, coding, or copying and pasting from unreliable sources. Its generous free tier offers 2,500 monthly credits with no trial expiration, making professional data accessible to everyone. The platform also includes a web-based Terminal for advanced visualizations, AI-powered research, and portfolio tracking. Ultimately, Dividend Data solves the problem of costly, complex data feeds by giving self-directed investors the comprehensive, accurate, and live data they need to make informed decisions, all within their familiar spreadsheet workflow.

Frequently Asked Questions

Ambriel FAQ

What industries can benefit from using Ambriel?

Ambriel is designed for a wide range of industries, including fintech, marketplaces, retail, iGaming, insurance, and crypto, making it suitable for any digital business seeking to enhance security and compliance.

How does Ambriel automate risk scoring?

Ambriel’s risk scoring leverages data from over 200 sources, analyzing various signals and patterns in real-time. This automation allows for rapid identification of suspicious activities without manual intervention.

Can Ambriel help with compliance regulations?

Yes, Ambriel includes features such as automated sanctions and PEP screening, ensuring that businesses stay compliant with global regulations without the burden of manual checks.

How does Ambriel enhance user experience while preventing fraud?

Ambriel's seamless onboarding and continuous monitoring capabilities allow genuine users to access services without friction, while effectively detecting and preventing fraudulent activities in the background.

Dividend Data FAQ

How does the free tier work?

The free tier provides 2,500 credits per month, which do not expire and renew each month. No credit card is required to start. Each data point retrieved by a formula (e.g., one cell with a price or a dividend yield) typically costs one credit. This allows for substantial usage for individual investors tracking a portfolio or analyzing a handful of stocks regularly.

What data can I access with the spreadsheet add-in?

You can access over 100 key metrics including dividend data (amount, yield, date, growth), real-time quotes, valuation ratios (P/E, P/B), profitability metrics, and full financial statement items (revenue, EPS, cash flow). The add-in also provides 30+ years of historical data for most of these metrics, enabling deep historical trend analysis.

Do I need to know how to code or use APIs?

Absolutely not. Dividend Data is designed for investors, not programmers. There is no need for API keys, scripting, or any coding knowledge. You simply install the add-in for Google Sheets or Excel and start using the plain-English custom formulas directly in your spreadsheet cells to pull data instantly.

Is my data secure and private?

Yes. Your spreadsheet data and queries remain private. Dividend Data operates as a read-only add-in; it does not collect, store, or have access to the contents of your spreadsheets or your portfolio holdings. It only receives the ticker symbols and metric names you explicitly request in your formulas to return the corresponding public market data.

Alternatives

Ambriel Alternatives

Ambriel is an advanced fraud intelligence and risk management platform designed to protect digital businesses from fraudulent activities in real-time. It caters to various industries, including fintech, retail, and iGaming, offering features that enhance security and build customer trust. Users often seek alternatives to Ambriel for reasons such as pricing concerns, specific feature requirements, or compatibility with their existing platforms. When considering alternatives, it's essential to evaluate aspects like ease of integration, scalability, the comprehensiveness of fraud detection capabilities, and the level of customer support provided.

Dividend Data Alternatives

Dividend Data is a specialized tool for fundamental and dividend investors, providing deep historical market data directly within spreadsheet platforms like Google Sheets and Excel. It falls into the category of financial data and analysis tools designed for individual investors and analysts. Users often explore alternatives for various reasons, such as budget constraints, the need for different data points, specific platform compatibility, or seeking a different pricing model like a one-time purchase versus a subscription. When evaluating other options, it's crucial to consider your core needs. Key factors include the depth and historical range of the financial data offered, the ease of integration with your existing workflow (especially within spreadsheets), the total cost relative to your usage, and whether the tool's features are built with a genuine understanding of fundamental and dividend investing strategies. The right solution should save you time and provide reliable data without unnecessary complexity.

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