Optimize your data pipelines with Apache Iceberg

The data landscape is rapidly evolving with the adoption of data lakes and lakehouses for managing and analyzing large volumes of data. Factors contributing to this trend include flexibility, low-cost object storage, support for multiple data types, modern table formats like Apache Iceberg, and improved performance at scale. As a result, data lakes are becoming the foundation for next-generation data architectures. Apache Iceberg is emerging as an industry standard for data lakehouse adoption due to its powerful open table format that enables data warehouse-like logic in the data lake. This format supports update, delete, and merge features, along with schema evolution, partition evolution, and time travel functionality. The integration of Starburst and Fivetran with Apache Iceberg creates an end-to-end solution for data analytics, offering a comprehensive approach to data management within data lakes. Data lakes promote openness and interoperability by allowing the separation of storage and compute resources, leading to more efficient data processing and significant cost savings. Adopting Apache Iceberg enhances this optionality, enabling multiple engines to interact with the same tables and standardizing methods for storing all data types. This innovation supports schema-on-read flexibility, which is crucial in today's data-driven world where data volume, velocity, and variety are ever-increasing. However, without proper management, data lakes can easily turn into data swamps, leading to inaccessible, poor quality data and impaired data visibility. To avoid this scenario, organizations should standardize their data lakes with Apache Iceberg, which eliminates the need for table format migration and supports multiple engines interacting with the same tables. Fivetran and Starburst provide complementary solutions that work together to address many of the challenges associated with data lakes. Fivetran specializes in data ingestion, making it easy to consolidate data from various sources into a query-ready Iceberg table format. Starburst excels in providing fast, petabyte-scale analytics perfect for performing interactive analytics or data transformations within the lake. Together, they enable a comprehensive solution for data management within your data lakehouse.