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The Auron accelerator for big data engine (e.g., Spark, Flink) leverages native vectorized execution to accelerate query processing. It combines the power of the Apache DataFusion library and the scale of the distributed computing framework. Auron takes a fully optimized physical plan from distributed computing framework, mapping it into DataFusion's execution plan, and performs native plan comput
Website | API Docs | Chat DataFusion is an extensible query engine written in Rust that uses Apache Arrow as its in-memory format. This crate provides libraries and binaries for developers building fast and feature rich database and analytic systems, customized to particular workloads. See use cases for examples. The following related subprojects target end users: DataFusion Python offers a Python
SkyWalking is an open-source APM system that provides monitoring, tracing and diagnosing capabilities for distributed systems in Cloud Native architectures. Distributed Tracing End-to-end distributed tracing. Service topology analysis, service-centric observability and APIs dashboards. Agents for your stack Java, .Net Core, PHP, NodeJS, Golang, LUA, Rust, C++, Client JavaScript and Python agents w
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Apache Arrow is a universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics. It contains a set of technologies that enable data systems to efficiently store, process, and move data. Major components of the project include: The Arrow Columnar In-Memory Format: a standard and efficient in-memory representation of various datatypes, plain or nested The Arr
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