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Based on our record, Delta Lake seems to be more popular. It has been mentiond 35 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Delta Lake: Delta Lake is an open-source storage layer that provides ACID transactions, scalable metadata management, and data versioning on top of existing data lakes. It aims to bring reliability and performance optimizations to big data workloads while ensuring data integrity and consistency. - Source: dev.to / 6 months ago
When it comes to stream processing systems, Iceberg support varies across vendors. Databricks, which oversees Spark Streaming, focuses on Delta Lake. Apache Flink, heavily influenced by Alibabaโs contributions, promotes Paimon, an alternative to Iceberg. RisingWave, on the other hand, fully embraces Iceberg. Rather than focusing solely on one table format, RisingWave aims to support various catalog services,... - Source: dev.to / 8 months ago
Delta Lake is a storage layer framework that provides reliability to data lakes. It addresses the challenges of managing large-scale data in lakehouse architectures, where data is stored in an open format and used for various purposes, like machine learning (ML). Data engineers can build real-time pipelines or ML applications using Delta Lake because it supports both batch and streaming data processing. It also... - Source: dev.to / about 1 year ago
There is a neat example, of how a third party project belonging to the Linux Foundation, is implementing UserDefinedLogicalNodeCore: MetricObserver in delta-rs. The developer had to use only #[derive(Debug, Hash, Eq, PartialEq)] to get dyn_eq and dyn_hash implemented. - Source: dev.to / about 1 year ago
Delta is pretty great, let's you do upserts into tables in DataBricks much easier than without it. I think the website is here: https://delta.io. - Source: Hacker News / over 1 year ago
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