The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
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Jan 4, 2026
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The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
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ClickHouse® is a real-time analytics database management system
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Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
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All-in-one IoT Platform - Device management, data collection, processing and visualization.
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An open source cybersecurity protocol for syncing decentralized graph data.
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The Data Engineering Cookbook
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
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PredictionIO, a machine learning server for developers and ML engineers.
A distributed, fast open-source graph database featuring horizontal scalability and high availability
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Open-Source Web UI for Apache Kafka Management
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The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.
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CMAK is a tool for managing Apache Kafka clusters
Cloud-native OSS search engine for observability
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The most widely used Python to C compiler
Apache DataFusion SQL Query Engine
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
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