Top 20 Data Providers and Integrators to Know in 2025

Picture this: it’s 2025, and your sales team is chasing leads, your operations crew is wrangling data from a dozen SaaS tools, and your IT folks are quietly plotting world domination (or at least, a more efficient data pipeline). Meanwhile, the world of data is exploding—literally. The global alternative data market is on track to hit this year, and companies are spending over on third-party datasets—each. If you’re not tapping into new data sources or connecting your systems with AI-powered integrations, you’re basically bringing a butter knife to a data bazooka fight.

As someone who’s spent my career building SaaS and automation tools (and yes, wrangling more than my fair share of messy spreadsheets), I’ve seen firsthand how the right data provider or integration platform can make or break a business strategy. In this guide, I’ll walk you through the top 20 data providers and integrators you need to know in 2025—covering everything from alternative data sources (think web, social, geospatial, and more) to next-gen integration platforms with AI agents and Model Context Protocol (MCP) support. Whether you’re in sales, marketing, investment, or IT, this list is your shortcut to building a future-proof, data-driven business.

Why Businesses Need a List of Alternative Data Providers and Integration Platforms

Let’s clear up a common confusion: alternative data providers and data integration platforms are not the same beast.

• Alternative data providers are your go-to for unique, external datasets that you just can’t get from your internal systems or standard market feeds. We’re talking B2B contact lists, consumer transactions, social sentiment, satellite imagery, and more. These are the folks who help you find the “unknown unknowns”—the insights that give you an edge in sales, marketing, investment, and risk.
• Data integration providers (often called iPaaS—Integration Platform as a Service) are the glue that holds your data ecosystem together. They connect your CRM, ERP, databases, APIs, and SaaS tools, letting you automate workflows and move data wherever it needs to go.

Why does having a curated list matter? Because the market is crowded, and the stakes are high. Sales and marketing teams need compliant, up-to-date leads. Investors want early signals from alternative data. IT needs secure, scalable integrations that don’t require a PhD in Python. And now, with the rise of AI agents and MCP support, the bar for what’s “good enough” keeps getting higher.

• AI agents are autonomous software bots powered by large language models. They can read, decide, and act across your tech stack—if your platforms support them.
• Model Context Protocol (MCP) is the new open standard (think “USB-C for AI”) that lets AI agents securely connect to tools and data sources without custom integrations. If you want your AI to do more than just chat, you want MCP support.

In short: the right combination of data sources and integration tools—especially those with AI and MCP capabilities—can supercharge your business, while the wrong ones can leave you stuck in the slow lane.

How We Evaluated the Top Data Providers and Integrators

I know, you want the list. But before we dive in, here’s how I picked the winners (and why you can trust this isn’t just a random assortment of shiny logos):

I also leaned on my own experience (and a healthy dose of caffeine-fueled research) to spot tools with unique strengths—especially those that are ahead of the curve on AI and agentic automation.

The Ultimate List of Alternative Data Providers and Integration Platforms for 2025

This list is a blend: you’ll find data sources, integration services, and platforms that combine both—plus a few that are pushing the boundaries with AI agents and MCP. For each, I’ll give you the highlights, best use cases, and what makes them stand out.

1. Thunderbit: AI-Powered Web Scraping and Integration

Let’s start with a little shameless plug—because, well, I’m genuinely proud of what we’re building at .

What makes Thunderbit different? Our AI Web Scraper doesn’t just “grab data”—it reads the whole page, converts it into Markdown, and then lets the AI model semantically understand the structure, context, and relationships. It’s like having a digital assistant who actually “gets” the page before copying the table for you. This approach is a huge leap forward, especially when you’re dealing with dynamic websites, nested comments, or constantly changing layouts.

• AI Agent Features: Click “AI Suggest Fields” and Thunderbit will recommend the best columns to extract—no coding or manual mapping required.
• Subpage Scraping: Need to scrape a list of products and then dive into each product page for more details? Thunderbit’s AI agent can handle that, enriching your table with just a couple of clicks.
• Export Options: Push data directly to Excel, Google Sheets, Airtable, or Notion. Download as CSV or JSON. (And yes, exports are free.)
• Best For: Sales, ecommerce, marketing, real estate—anyone who needs structured data from the wild web, especially from tricky sources like Facebook Marketplace or long-form comment threads.
• Unique Strength: Our semantic understanding means Thunderbit is robust even when page structures change or get messy. It’s like the Swiss Army knife of web data extraction.

Want to see it in action? Grab the and check out our .

2. Cognism: B2B Data for Sales and Compliance

is a powerhouse for B2B contact data, especially if you’re prospecting in Europe or need to stay on the right side of GDPR and CCPA. Their “Diamond Data” verification process combines human and AI checks to keep emails and phone numbers fresh and accurate.

• AI Features: The Sales Companion module acts as an AI assistant, recommending leads, surfacing intent signals, and generating company summaries.
• Integrations: Connects with major CRMs via API and CSV enrichment.
• Best For: Sales and marketing teams that need compliant, up-to-date international leads.
• Unique Strength: Compliance and data quality—Cognism checks do-not-call lists and includes consent status, so you can prospect with confidence.

3. ZoomInfo: Comprehensive Business Intelligence

is the go-to for real-time B2B intelligence. Their platform aggregates company and contact info, but the real magic is in their “buyer intent” signals and automation features.

• AI Features: ZoomInfo Copilot uses generative AI to craft personalized outreach based on real-time signals (like recent funding or job changes).
• Integrations: Deep connections with Salesforce, HubSpot, and marketing automation platforms.
• Best For: Large sales and marketing teams needing comprehensive, constantly updated intelligence.
• Unique Strength: Real-time intent data and workflow automation—helping you reach prospects at the perfect moment.

4. Eagle Alpha: Alternative Data Aggregation at Scale

If you want a buffet of alternative datasets, is your one-stop shop. They aggregate over 2,000 data products from hundreds of vendors, standardizing and validating everything so you don’t have to.

• Best For: Buy-side investors, hedge funds, and corporates who want to trial, purchase, and manage multiple alt data sources in one place.
• Unique Strength: Data standardization, compliance checks, and research services—making it easy to onboard new datasets without legal headaches.

5. RiskSeal: Alternative Data for Credit and Risk

is built for the fintech era, where traditional credit scores just don’t cut it. They analyze digital footprints across 200+ platforms (social, ecommerce, email, etc.) to build a holistic risk profile.

• AI Features: Real-time identity verification, behavioral analysis, and KYC tools.
• Best For: Banks, BNPL providers, and fintechs serving “credit-invisible” customers.
• Unique Strength: Combines hundreds of data points into a unified digital credit score—helping lenders approve more customers while reducing defaults.

6. Brandwatch: Social and Consumer Data Insights

is the gold standard for social listening and consumer sentiment analysis. Their AI engine (Iris) can detect themes, analyze images, and even summarize trends using generative AI.

• AI Features: Automatic theme detection, image recognition, GPT-powered insights.
• Integrations: APIs for CRM, Slack, and more.
• Best For: Marketing, PR, and brand teams tracking trends, crises, or campaign impact.
• Unique Strength: Real-time dashboards and predictive analytics for spotting trends before they go viral.

7. Thinknum: Web Data for Market Intelligence

tracks public web data for over 450,000 companies—job postings, product prices, app ratings, and more. Their no-code dashboard makes it easy to build queries and visualizations.

• Best For: Financial analysts, equity researchers, and strategy teams looking for early signals.
• Unique Strength: Historical archives and alerting features—great for quantifying corporate strategies from the outside.

8. Orbital Insight: Geospatial Alternative Data

Insight turns satellite imagery and geolocation data into actionable business insights. Need to monitor supply chains, track retail traffic, or assess crop health? This is your tool.

• AI Features: Multi-source data fusion, AI-powered geospatial analysis.
• Best For: Supply chain managers, commodities traders, and government agencies.
• Unique Strength: Real-world, near-real-time measures of activity—think “eyes in the sky” for your business.

9. Dataminr: Real-Time Event Detection

’s AI scans over a million public data sources (social, news, sensors, etc.) in 100+ languages to spot emerging events before anyone else.

• AI Features: Multi-modal fusion (text, image, video, audio), ReGen™ AI for real-time summaries.
• Best For: Risk management, security, and newsrooms needing instant alerts.
• Unique Strength: Speed—delivers actionable intelligence minutes or hours ahead of traditional sources.

10. Quiver Quantitative: Alternative Data for Investors

democratizes alternative datasets for retail investors—think congressional stock trades, government contracts, social sentiment, and more.

• AI Features: Smart Score rankings, AI-powered insights, copy trading.

• Best For: DIY investors and traders looking for unconventional data-driven edges.

• Unique Strength: Freemium model and unique datasets that were once only available to hedge funds.

11. FuseBase: Agent-Native Data Integration with MCP Support

is one of the first platforms to fully support Model Context Protocol (MCP), making it a true “agent-native” integration solution.

• AI Agent Features: Deploy AI agents that can discover and connect to SaaS tools and databases—no hardcoding required.
• MCP Support: Yes, natively. Agents can flexibly call functions across connected apps.
• Best For: IT teams and professional services firms building AI-driven workflows.
• Unique Strength: Combines integration, automation, and collaboration—plus open standards for future-proofing.

12. SnapLogic: AI-Driven Integration and Automation

is a leader in iPaaS, now supercharged with SnapGPT and AgentCreator for AI-driven automation.

• AI Features: Natural language pipeline creation, autonomous agents, MCP support.
• Best For: Enterprises needing unified integration with an eye on the “agentic enterprise” future.
• Unique Strength: 500+ connectors, low-code UI, and open standards for AI agent connectivity.

13. Jitterbit: Low-Code Integration and API Management

Harmony combines iPaaS, API management, and low-code app development. Their AI Assistants make integration accessible for non-technical users.

• AI Features: AI assistants for app building, connector creation, and chatbot support.
• Best For: Mid-to-large IT teams needing rapid, flexible integration.
• Unique Strength: Strong API management and democratized automation—recognized in Gartner’s Magic Quadrant.

14. K2view: Data Fabric and Integration for Enterprises

’s data fabric organizes data into micro-databases per business entity, enabling real-time, unified access across systems.

• AI Features: AI Data Fusion for feeding enterprise data into LLMs.
• Best For: Large enterprises with siloed data and strict governance needs.
• Unique Strength: “Data product” paradigm and patented encryption for privacy and compliance.

15. Informatica: AI Data Infrastructure and Governance

’s Intelligent Data Management Cloud (IDMC) is the backbone for enterprise data integration, now powered by the CLAIRE® AI engine.

• AI Features: CLAIRE Copilot, GPT-powered assistants, automated data mapping.
• Best For: Enterprises with complex data landscapes needing end-to-end management.
• Unique Strength: Deep governance, quality, and cataloging—plus integration with Salesforce and major cloud providers.

16. Preqin: Alternative Data for Private Markets

is the Bloomberg of private equity, venture capital, and real assets—offering fund performance, manager profiles, deals, and analytics.

• Best For: Investment professionals in private markets, fund managers, and consultants.
• Unique Strength: Comprehensive data and analytics, now part of BlackRock’s ecosystem.

17. Yodlee: Financial Data Aggregation

connects to over 15,000 financial institutions, providing normalized, enriched transaction data for fintechs, banks, and credit bureaus.

• AI Features: Data cleansing, enrichment, and categorization.
• Best For: Fintech apps, lenders, and anyone needing reliable financial account data.
• Unique Strength: Global coverage and compliance, powering everything from budgeting apps to credit risk models.

18. Earnest Research: Consumer and Transaction Data

Analytics delivers near-real-time consumer transaction data, cleaned and validated by machine learning and analyst review.

• AI Features: Earnest AI for data normalization and signal extraction.
• Best For: Retail, CPG, and investment research teams benchmarking performance.
• Unique Strength: Analyst-backed insights and curated dashboards for actionable trends.

19. Second Measure: Real-Time Consumer Analytics

Now part of Bloomberg, offers self-service analytics on billions of anonymized card transactions.

• Best For: Investors and corporate strategy teams wanting intuitive, visual exploration of consumer spend.
• Unique Strength: Real-time updates, custom cohort analysis, and Bloomberg Terminal integration.

20. Verisk: Risk and Compliance Data Solutions

is the backbone for risk, insurance, and compliance data—offering everything from property risk to marketing identity graphs.

• AI Features: Embedded data services, fraud detection, and regulatory compliance tools.
• Best For: Insurance, banking, and any business needing risk assessment or compliance data.
• Unique Strength: Deep industry data, delivered via APIs and integrated into enterprise workflows.

Side-by-Side Comparison Table: Data Providers and Integrators

Here’s a quick-glance table to help you compare the top 20 solutions:

How to Choose the Right Data Provider or Integration Platform for Your Business

Feeling a little overwhelmed? Here’s a simple framework I use when advising teams:

1. Identify Your Gaps: Do you need new data (alt data provider) or better connectivity (integration platform)? Or both?
2. Match to Use Case: Sales leads? Market intelligence? Workflow automation? Risk and compliance? Start with your business goal.
3. Prioritize AI & MCP: If you want to future-proof, lean toward platforms with AI agent features and MCP support (like SnapLogic or FuseBase).
4. Check Integrations: Will it play nicely with your existing stack? Look for native connectors or robust APIs.
5. Assess Governance: If you’re in a regulated industry, prioritize compliance, audit trails, and security features.
6. Consider Pricing: Does the pricing model fit your usage? Credits, subscriptions, usage-based—pick what scales with your needs.
7. Ask the Hard Questions: What’s the vendor’s AI roadmap? Do they support MCP or plan to? Can you trial the platform on your real data?

And don’t forget: sometimes the best answer is “both.” You might use Thunderbit to extract web data, then push it into your CRM via SnapLogic or FuseBase.

Key Takeaways: Building a Data-Driven Business in 2025

• Leverage Both Data and Connectivity: The winning teams in 2025 are blending high-quality alternative data with modern integration and AI platforms. It’s not either/or—it’s both.
• AI Agents and MCP Are the Future: As AI agents become the norm, platforms that support open standards like MCP will give you more flexibility, security, and automation.
• Governance Matters: With great data comes great responsibility. Prioritize compliance, privacy, and security—especially as AI gets access to more of your systems.
• Experiment and Iterate: The landscape is evolving fast. Try pilots, test data quality, and stay curious—new providers and features are launching all the time.
• Business Goals First: Don’t chase shiny objects. Tie every tool and dataset back to a clear business outcome—whether it’s more sales, faster insights, or lower risk.

Ready to build your data-driven foundation for 2025? Start with this list, match the right tools to your needs, and don’t be afraid to get a little nerdy along the way. (Trust me, your future self—and your bottom line—will thank you.)

Want more deep dives on data scraping, integration, and AI automation? Check out the , including guides like and .

And if you have questions, or want to geek out about the future of data, you know where to find me. (Hint: probably somewhere between a spreadsheet and a Chrome extension.)

— Shuai Guan, Co-founder & CEO,

FAQs

1. What is the difference between alternative data providers and data integration platforms?

Alternative data providers supply unique, external datasets that aren’t available from internal systems or standard market feeds—such as B2B contact lists, consumer transactions, social sentiment, and satellite imagery. Data integration platforms (often called iPaaS) connect various business systems (like CRMs, ERPs, databases, and SaaS tools), enabling automated workflows and seamless data movement across your tech stack.

2. Why is AI agent and MCP support important when choosing a data provider or integration platform?

AI agent support allows platforms to leverage autonomous software bots powered by large language models, which can automate tasks, analyze data, and interact with your systems. MCP (Model Context Protocol) is an open standard that enables AI agents to securely connect with tools and data sources without custom integrations, making your data ecosystem more flexible, secure, and future-proof.

3. What are some key criteria to consider when evaluating data providers and integrators?

Important criteria include the type of data or service offered, AI agent and MCP support, best-fit business scenarios, enterprise readiness (such as security, compliance, and scalability), and the pricing model. It’s also crucial to check for integration capabilities with your existing stack and to assess the vendor’s roadmap for AI and open standards.

4. How can businesses decide which data provider or integration platform is right for them?

Start by identifying whether you need new data sources, better system connectivity, or both. Match solutions to your specific business goals (like sales, market intelligence, workflow automation, or risk management). Prioritize platforms with AI and MCP support for future-proofing, ensure compatibility with your current tools, check for strong governance features, and choose a pricing model that fits your needs.

5. What are the key trends shaping the data provider and integration landscape in 2025?

The main trends include the rise of AI agents and open standards like MCP, the blending of high-quality alternative data with advanced integration platforms, increased emphasis on governance and compliance, and the need for flexible, scalable solutions that align with clear business outcomes. Experimentation and staying updated with new providers and features are also essential as the landscape evolves rapidly.

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