The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

ClickHouse® is a real-time analytics database management system

Apache Spark - A unified analytics engine for large-scale data processing

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.

Apache Flink

Open-source IoT Platform - Device management, data collection, processing and visualization.

An open source cybersecurity protocol for syncing decentralized graph data.

大数据入门指南 ⭐

The official home of the Presto distributed SQL query engine for big data

The Data Engineering Cookbook

Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

PredictionIO, a machine learning server for developers and ML engineers.

A distributed, fast open-source graph database featuring horizontal scalability and high availability

Open-Source Web UI for Apache Kafka Management

CMAK is a tool for managing Apache Kafka clusters

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.

Cloud-native search engine for observability. An open-source alternative to Datadog, Elasticsearch, Loki, and Tempo.

The most widely used Python to C compiler

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.

An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs