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lakeFS transforms object storage buckets into data lake repositories that expose a Git-like interface. By design, it works with data of any size. The open source lakeFS project supports AWS S3, Azure Blob Storage and Google Cloud Storage (GCS) as its underlying storage service. It is API compatible with S3 and integrates seamlessly with popular data frameworks such as Spark, Hive, dbt, Trino, and many others.
Split provides organizations with advanced capabilities for managing feature flags, maximizing their impact through experiments and data-driven insights to enhance product development and delivery.
Split's use case revolves around enabling teams to experiment with feature rollout safely and effectively. By offering a controlled release environment, Split aids in identifying what resonates with users and making data-driven decisions. Developers and product managers benefit from Split's ability to mitigate risks associated with feature deployments. Integrating with tools used in development workflows, Split ensures seamless implementation and utilization.
What are the valuable features Split offers?In e-commerce, Split optimizes user experience through experimentation to enhance conversion rates. Finance sectors utilize it to test security features without compromising user data. By implementing Split, industries tailor deployment strategies to specific operational demands, ensuring scalable results.
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