In the modern data ecosystem, data interoperability—the ability to seamlessly integrate and collaborate across different platforms and tools—is crucial. Businesses use a wide variety of platforms, from cloud providers to customer data platforms (CDPs), data clean rooms, and ETL/Reverse ETL tools. However, managing these platforms and ensuring they can work together seamlessly is often a major challenge.
Rosetta Stone plays a critical role in enabling data interoperability. By offering a unified layer of AI-based schema harmonization, Rosetta Stone ensures that data can move freely between systems, regardless of their structure or platform. Whether data is coming from Snowflake, AWS, or a customer data platform, Rosetta Stone automates the harmonization process, allowing businesses to quickly unlock real-time collaboration and insights.
Complementary, Not Competitive: Supporting ETL/Reverse ETL Vendors, CDPs, and Data Clean Rooms
One of the key advantages of Rosetta Stone is that it’s not designed to replace existing ETL or Reverse ETL vendors, CDPs, or data clean rooms. Instead, Rosetta Stone complements these platforms by simplifying the process of preparing data for use in them. Here’s how:
- ETL and Reverse ETL Vendors: Rosetta Stone fits seamlessly into existing ETL and Reverse ETL workflows, automating the transformation step by harmonizing schemas before or after data is moved through an ETL pipeline. This ensures that data is standardized, making it easier to load into destination platforms or activate through reverse ETL processes.
- CDPs: Customer Data Platforms (CDPs) often struggle with integrating data from multiple sources due to inconsistencies in schemas. By using Rosetta Stone’s AI-based harmonization, CDPs can ensure that customer data is unified and consistent, improving match rates and making customer profiles more accurate and actionable.
- Data Clean Rooms: Data clean rooms rely on precise data matching and privacy-safe environments. Rosetta Stone ensures that all data entering a clean room is harmonized and standardized, increasing match rates and facilitating smoother collaboration across data providers.
In short, Rosetta Stone enhances the capabilities of existing platforms by ensuring data interoperability, enabling them to deliver faster, more accurate insights without the complexity of manual schema alignment.