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

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

ClickHouse® is a real-time analytics DBMS

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

An open source cybersecurity protocol for syncing decentralized graph data.

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

大数据入门指南 ⭐

The Data Engineering Cookbook

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

CMAK is a tool for managing Apache Kafka clusters

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

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

Open-Source Web UI for Apache Kafka Management

The most widely used Python to C compiler

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.

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.

Apache Beam is a unified programming model for Batch and Streaming data processing.

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