Data is the new oil-but unlocking its true value requires the right tools. In today’s digitally driven world, businesses generate enormous volumes of data, yet many struggle to convert it into actionable revenue. That’s where data monetization platforms come into play. These solutions help organisations analyse, package, and sell or utilise their data effectively-be it through direct sales, enhanced decision-making, or personalised customer experiences.
Whether you’re a startup or an enterprise, choosing the right platform can turn untapped data into profit-driving insights. With powerful analytics, security, and integration capabilities, the best platforms enable smarter, faster, and more lucrative data strategies.
In this blog, we will take a look at 10 Best Data Monetization Platforms.
What is a data monetization platform?
A data monetization platform is a technology solution—and often a powerful monetization tool—that enables organisations to generate revenue from their data assets by facilitating the exchange, licensing, or sale of data. These platforms provide tools for organising, packaging, pricing, and distributing data to external parties, such as partners, customers, or data marketplaces.
Key features often include data privacy controls, regulatory compliance (e.g., GDPR), usage tracking, identity resolution, and secure access management. Businesses can monetise raw or processed data, analytics, or insights through subscriptions, pay-per-use, or direct sales models.
Whether deployed in the cloud or on-premises, data monetization platforms help transform dormant data into valuable business assets while maintaining control, security, and compliance across the entire data lifecycle.
How does data monetization work?
- Data Collection: Organisations gather structured or unstructured data from internal systems, users, or IoT devices.
- Data Preparation: Collected data is cleaned, anonymized, and organised for usability and compliance.
- Packaging: Data is segmented, labeled, and formatted into products such as datasets, APIs, or insights.
- Platform Integration: The data is uploaded to a data monetization platform for licensing, sharing, or selling.
- Access Control: Permissions, usage limits, and pricing models (e.g., subscription, pay-per-use) are defined.
- Data Distribution: Buyers access the data through secure portals, APIs, or marketplaces.
- Usage Tracking: Activity is monitored to track performance and ensure contract adherence.
- Revenue Generation: Payments are processed and data providers earn income from the transactions.
List of Best 10 Data Monetization Platforms
1. Dawex
Dawex is a global leader in data exchange and monetization, empowering organisations to buy, sell, and share data securely. It offers a robust platform that supports both public marketplaces and private data hubs, giving users complete control over their data transactions.
Dawex ensures compliance with international data regulations, including GDPR, and provides built-in contract management, pricing tools, and user access controls.
With its API integrations and scalable architecture, Dawex serves enterprises, governments, and industry consortia. Its mission is to create trusted data ecosystems that fuel innovation while maintaining strict governance over sensitive and proprietary data assets.
Key Features:
- Customisable data marketplace setup
- Public and private data exchange models
- Contract and pricing automation
- Regulatory compliance tools
- API integration for automation
- GDPR and global regulation adherence
- Real-time access controls
- User identity and access management
- Audit trails and usage analytics
- Scalable for governments and enterprises
Pros:
- Enables both open and private exchanges
- Strong compliance and governance controls
- Flexible pricing and licensing model
- Multi-sector compatibility
Cons:
- Complex onboarding for small businesses
- Limited analytics tools compared to competitors
2. Narrative I/O
Narrative I/O is a self-service data commerce platform designed to simplify how organisations buy and sell data. It provides a transparent, automated environment where businesses can package, price, and distribute their data products with ease.
With powerful data onboarding, enrichment, and delivery tools, Narrative minimises friction in the data acquisition process. The platform features a no-code interface, detailed usage analytics, and a built-in payment system.
Narrative is ideal for marketers, data providers, and advertisers who want to manage their data exchange transactions without brokers, thereby reducing cost and increasing revenue from first-party and third-party data assets.
Key Features:
- Self-service data buying/selling interface
- Transparent pricing and payment system
- Direct-to-buyer data licensing
- No-code tools for data packaging
- API and automation support
- Usage analytics dashboard
- Enrichment and onboarding tools
- Dynamic contract management
- Identity-free data collaboration
- Cloud-native infrastructure
Pros:
- User-friendly for non-technical users
- No broker required for transactions
- Fast data onboarding and delivery
- Strong customisation features
Cons:
- Limited support for real-time data streaming
- Smaller marketplace network than others
3. Snowflake Data Marketplace
Snowflake Data Marketplace allows Snowflake users to securely share and monetize live, query-ready data without moving or copying it. Embedded directly in the Snowflake ecosystem, the marketplace enables seamless access to hundreds of data providers across industries such as healthcare, finance, and retail.
With no ETL required, users can collaborate using governed, real-time datasets that integrate with Snowflake’s analytics tools. It supports private data exchanges and monetization via subscription models.
Ideal for data-driven enterprises, Snowflake’s marketplace promotes a data-as-a-service approach, ensuring performance, scalability, and compliance for businesses seeking to generate value from their data assets.
Key Features:
- Native integration with Snowflake platform
- Live, query-ready data sharing
- No-ETL data access
- Subscription-based monetization
- Private and public data listings
- Full compliance with data security standards
- Usage metering and tracking
- Scalable for cross-region deployment
- Built-in analytics capabilities
- Highly secure architecture
Pros:
- Seamless integration for Snowflake users
- Real-time data access without duplication
- Advanced security and access control
- Reliable performance at scale
Cons:
- Requires Snowflake environment
- Monetization limited to Snowflake users
4. Lotame Panorama
Lotame Panorama is a next-generation data platform that enables marketers and publishers to collect, enrich, and monetize audience data. It provides robust identity resolution, cross-device targeting, and data enrichment features.
The platform connects brands to valuable consumer insights while enabling publishers to package and sell first-party segments. Lotame ensures data privacy through compliance frameworks and ethical sourcing standards. Its Panorama ID helps unify fragmented data, boosting accuracy in personalised advertising.
Lotame is ideal for companies aiming to activate data in the advertising ecosystem, turning audience intelligence into scalable revenue streams while maintaining transparency and data governance.
Key Features:
- Identity resolution via Panorama ID
- Audience segmentation tools
- Cross-device tracking and enrichment
- Consent and privacy management
- Behavioral analytics and trends
- Real-time audience insights
- Integration with ad tech platforms
- Publisher monetization suite
- Data privacy compliance tools
- Cloud-based scalability
Pros:
- Tailored for digital advertising and publishing
- Strong cross-device audience targeting
- Built-in data enrichment capabilities
- Scalable for enterprise media operations
Cons:
- Focused mainly on ad tech use cases
- Limited utility outside marketing sector
5. LiveRamp Data Marketplace
LiveRamp Data Marketplace is a secure and privacy-compliant platform that enables data providers to monetize their assets by connecting with marketers, publishers, and brands. It offers seamless integration into LiveRamp’s identity resolution and data onboarding ecosystem. The platform supports deterministic data matching, enrichment, and activation across channels, empowering buyers to find precise, actionable datasets.
As a leader in ethical data usage, LiveRamp functions as both a data monetization solution and a robust privacy management software, ensuring full regulatory compliance with frameworks like CCPA and GDPR. Ideal for data owners looking to scale reach and revenue, LiveRamp’s marketplace helps transform raw data into valuable insights while protecting consumer privacy and enabling transparent collaboration.
Key Features:
- Deterministic identity resolution
- Safe Haven for privacy-first sharing
- Data onboarding and enrichment
- Multichannel data activation
- Consent and policy management
- Trusted data provider ecosystem
- Encrypted data matching
- Real-time data usage tracking
- Cross-platform integrations
- Global compliance and support
Pros:
- Deep ecosystem in advertising and marketing
- Privacy-first with global compliance
- Highly scalable identity resolution
- Streamlined buyer-seller interactions
Cons:
- Limited to advertisers and martech platforms
- High cost for small data providers
6. AWS Data Exchange
Amazon’s data monetization service, AWS Data Exchange, provides a curated marketplace where customers can locate, subscribe to, and utilize third-party data within the AWS ecosystem. It supports a wide range of industries-finance, healthcare, geospatial, and more-enabling providers to distribute datasets seamlessly.
Sellers can publish updates automatically, control access, and track usage metrics. Integration with services like S3, Redshift, and SageMaker streamlines analytics and machine learning workflows.
AWS ensures compliance, scalability, and global distribution, making it an ideal choice for enterprises looking to monetize data through a secure, cloud-native environment without the need for custom delivery infrastructure.
Key Features:
- Direct publishing to AWS Marketplace
- Secure access to third-party datasets
- Automatic data updates
- Deep integration with AWS analytics tools
- Subscription and license control
- API access for delivery automation
- Usage metrics and logs
- Multi-region cloud scalability
- Seamless S3 and Redshift support
- Built-in compliance capabilities
Pros:
- Ideal for AWS-native enterprises
- Strong analytics and ML tool integration
- Scalable to enterprise-level deployments
- Trusted cloud security standards
Cons:
- Limited discoverability without AWS usage
- No native support for real-time streaming
7. Databricks Marketplace
Databricks Marketplace is a data monetization and collaboration platform built on the Databricks Lakehouse. It enables providers to package datasets, machine learning models, and notebooks for secure sharing or selling.
Using Delta Sharing, it supports open, real-time data exchange without data replication. Businesses can monetize high-quality data products with detailed usage governance and permissioning. The marketplace integrates with Apache Spark, MLflow, and other Databricks tools, allowing seamless analytical and AI-driven insights.
Designed for data scientists, engineers, and business teams, Databricks Marketplace enhances collaboration and revenue generation from proprietary data, while ensuring security and operational efficiency at scale.
Key Features:
- Built on Databricks Lakehouse platform
- Delta Sharing for real-time data access
- AI/ML model distribution capabilities
- Notebooks and code monetization
- Fine-grained permission control
- Unified data governance
- Apache Spark and MLflow integration
- Secure and compliant architecture
- Open ecosystem compatibility
- Cross-cloud scalability
Pros:
- Supports full analytics and ML monetization
- Ideal for technical and AI-driven data use
- Delta Sharing ensures data freshness
- No duplication or data movement needed
Cons:
- Requires Databricks environment
- Learning curve for non-technical users
8. Infosum
Infosum is a data collaboration platform and data integration tool that prioritizes privacy and enables safe data monetization without disclosing raw data. Its decentralized infrastructure allows companies to collaborate on customer insights using identity-free technology, while keeping data securely in its original location.
Infosum’s privacy-preserving framework supports use cases in advertising, financial services, and telecom, allowing data owners to unlock value from their assets while maintaining full control.
With zero data movement, Infosum reduces compliance risks and accelerates go-to-market strategies. It’s ideal for companies prioritising data security, privacy, and regulatory compliance while seeking innovative ways to derive insights and generate revenue from their data.
Key Features:
- Decentralised data collaboration
- No raw data movement
- Zero-party and first-party data matching
- Differential privacy techniques
- Consent and policy frameworks
- Identity-free data integration
- API and partner integrations
- Use-case specific data overlays
- Secure multiparty computation
- Cloud-native or hybrid deployment
Pros:
- Privacy-first, no data transfer needed
- Reduces regulatory and compliance risks
- Ideal for financial and telecom sectors
- Strong for secure B2B collaboration
Cons:
- Limited to federated data use cases
- High setup complexity for beginners
9. BlueSky Data
BlueSky Data is a data monetization platform tailored for businesses seeking to license and sell proprietary data products. It provides a complete toolkit for cataloging, pricing, licensing, and delivering data to customers or partners.
BlueSky supports both recurring and one-time data transactions, and includes compliance tools to handle contracts, anonymization, and access control. The platform is designed for ease of use, allowing non-technical users to manage data offerings and revenue streams effectively.
BlueSky is ideal for startups and enterprises looking to commercialise data as a product while maintaining transparency, compliance, and operational control across the data value chain.
Key Features:
- No-code platform for data product creation
- Licensing and access control tools
- Flexible pricing and subscription models
- Customer portal for data delivery
- Metadata tagging and search
- Legal compliance and anonymization
- Simple UI for non-technical teams
- Custom SLA and user agreements
- Secure cloud delivery infrastructure
- Audit and usage tracking
Pros:
- Easy to use for SMBs and non-technical teams
- Quick go-to-market for data monetization
- Includes licensing and legal compliance tools
- Great for building standalone data products
Cons:
- Lacks deep analytics integration
- Less suited for real-time or high-frequency data
10. Airbyte
Airbyte, initially an open-source ELT platform, has expanded to offer capabilities for data sharing and monetization. Through its connectors and integration framework, companies can package and distribute data pipelines to clients or partners.
It allows businesses to monetize internal data assets by securely sharing curated data streams in near real-time. Airbyte’s cloud offering includes governance tools and analytics to track usage and performance.
Designed for data engineers and SaaS providers, Airbyte enables the creation of monetizable data services with minimal overhead. Its open architecture and active community make it a flexible and scalable option for modern data monetization.
Key Features:
- ELT data pipeline platform with monetization add-ons
- 350+ pre built connectors
- Real-time data syncs
- API-based data sharing
- Usage tracking and observability
- Open-source and cloud versions
- Modular pipeline monetization
- Built-in transformation support
- Secure data delivery options
- Flexible deployment on-prem or cloud
Pros:
- Ideal for tech-savvy teams and SaaS platforms
- Open-source flexibility and extensibility
- Monetize data pipelines directly
- Large and active connector ecosystem
Cons:
- Requires technical expertise
- Not focused on non-technical users
Ending Thoughts
Data monetization platforms are transforming how businesses leverage their data by turning it into a strategic revenue-generating asset. These platforms offer a secure, scalable, and compliant environment for organisations to share, sell, or license data to trusted partners or customers. With rising demand for data-driven decision-making across industries, companies can unlock new income streams while maintaining control, privacy, and regulatory adherence.
As technology advances and data regulations tighten, choosing the right platform becomes crucial to maximising value and minimizing risk. In a digital economy where data is a key asset, effective monetization strategies not only enhance profitability but also strengthen business competitiveness and innovation. Ultimately, data monetization is a powerful way to transform unused information into tangible business growth.
FAQs
1. Who can benefit from using a data monetization platform?
Companies in sectors like finance, retail, healthcare, and tech can benefit by leveraging data for decision-making, customer targeting, or external monetization.
2. Are data monetization platforms secure?
Yes, most platforms prioritise data privacy and security with encryption, user access control, and compliance with data protection regulations.
3. Do these platforms require coding knowledge?
Many platforms offer user-friendly, no-code or low-code interfaces, though advanced features may need technical expertise.
4. How do I choose the right platform for my business?
Consider factors like integration capability, data volume handling, compliance features, pricing, and support for your industry’s specific needs.
