What is Apache Submarine?
Apache Submarine is a distributed data processing and analytics platform that allows businesses to unify streaming and batch data processing. With Apache Submarine, companies can build machine learning models on live data streams in real-time and scale data processing operations as needed. Apache Submarine allows developers to work on real-time and batch pipelines, offering a unified data processing and analytics platform.
How Apache Submarine Works
Apache Submarine works by unifying data processing and analytics on both batch and real-time data streams. The platform is built on Apache Hadoop and Apache Spark, and it uses Apache Hadoop YARN for resource management. Apache Submarine uses a distributed programming model that allows developers to work on real-time and batch pipelines using the same API.
Why Apache Submarine is Important
Apache Submarine is important for businesses that need to unify their batch and real-time data processing operations. The platform allows companies to build machine learning models on live data streams, enabling faster insights that drive better business decisions.
Apache Submarine also allows businesses to scale their data processing operations as needed. With Apache Submarine, companies can process data and analytics workloads efficiently on large clusters of machines, making it a powerful platform for big data analytics. Apache Submarine is designed to be modular and flexible, making it an ideal platform for enterprises that need to process and analyze large datasets.
The Most Important Apache Submarine Use Cases
Apache Submarine has several important use cases, including:
- Real-time Analytics: Apache Submarine can be used to build machine learning models on live data streams, enabling real-time analytics and faster insights.
- Batch Processing: Apache Submarine can handle large-scale batch processing of data, allowing businesses to process and analyze large datasets.
- Analytics at Scale: Apache Submarine can process data and analytics workloads efficiently on large clusters of machines, making it an ideal platform for big data analytics.
Other Technologies or Terms Closely Related to Apache Submarine
Other technologies closely related to Apache Submarine include:
- Apache Hadoop: Apache Submarine is built on Apache Hadoop, an open-source framework for distributed storage and processing of large datasets.
- Apache Spark: Apache Submarine also uses Apache Spark, an open-source data processing engine that can process large amounts of data quickly.
- Apache Hadoop YARN: Apache Submarine uses Apache Hadoop YARN for resource management, allowing businesses to manage and allocate resources more efficiently.
Why Dremio Users Would Be Interested in Apache Submarine
Apache Submarine is a powerful tool for unifying data processing and analytics operations. Apache Submarine is built on Apache Hadoop and Apache Spark, making it a good complement to Dremio's data lakehouse engine.
Apache Submarine is designed to be modular and flexible, making it easy to integrate with other data platforms, including Dremio. With Apache Submarine, Dremio users can build machine learning models on live data streams in real-time and process data and analytics workloads efficiently on large clusters of machines.
