Fivetran, a leader in global data integration, announces its new support for Delta Lake on Amazon Simple Storage Service (Amazon S3), expanding its capabilities in data lake destinations. This development is crucial for the numerous data lakes running on Amazon S3, an AWS service renowned for its scalability, security, and performance. Fivetran’s integration with Amazon S3 allows customers to efficiently access and manage their Delta Lake tables, simplifying data management and enhancing the ability to integrate data for building large language models (LLMs).
Data Lakes and Generative AI: Fivetran’s enhancement recognizes the suitability of data lakes for handling massive volumes of unstructured and semi-structured data, thanks to their flexibility and scalability. This integration transforms data lakes from traditionally ungoverned data repositories into organized, user-friendly data stores. Organizations can now rapidly access and leverage data for various applications, including predictive analytics, generative AI applications, and machine learning models.
Recent Developments: Earlier in April, Fivetran announced its support for Amazon S3 with Apache Iceberg, another high-performance data format. This feature, also unveiled at AWS re:Invent 2023, further underscores Fivetran’s commitment to simplifying data management and supporting generative AI projects.
Fraser Harris, VP of Product at Fivetran, expresses enthusiasm about enabling customers to utilize Delta Lake on Amazon S3. “Data lakes are foundational for machine learning, AI, and generative AI projects. This enhancement is a significant step in simplifying data management for such initiatives,” says Harris.
Fivetran’s Offering: Fivetran brings to the table data governance capabilities, industry-leading security, cost efficiency, and user-friendliness. The platform’s no-code approach allows enterprises to easily move data from various sources to any destination. Fivetran supports nearly any data source, from on-premises databases to SaaS apps, with 99.9% uptime. Use cases vary from migrating data workloads to replicating databases in the cloud, all facilitated by change data capture to ensure continuous data synchronization.
Fivetran’s platform automatically converts customer data to Delta Lake format, maintaining data quality by anonymizing PII, cleansing, and normalizing data. With over 400 pre-built connectors and the ability to create custom connectors, Fivetran ensures comprehensive source compatibility, allowing customers to unify their data in the lake, regardless of its original location.