Open source. Open possibilities.

Source code for the Apache Doris official website (doris.apache.org), built with Docusaurus 3. Hosts multilingual documentation, blog posts, and community guides for Apache Doris, a real-time MPP analytical database.

Apache Spark is a unified analytics engine designed for large-scale data processing, offering high-level APIs and an optimized engine for general computation graphs.

Apache Flink is an open-source stream processing framework providing powerful capabilities for both data streaming and batch processing.

Apache Beam is a unified programming model for defining both batch and streaming data-parallel processing pipelines.

Delta Lake is an open-source storage framework enabling Lakehouse architecture. It integrates with compute engines like Spark, PrestoDB, Flink, Trino, and Hive, offering ACID transactions, time travel, and schema evolution for reliable data management.

Arkime is a large-scale, open-source network analysis and packet capture system for storing and indexing network traffic in PCAP format.

Trino is a fast distributed SQL query engine designed for big data analytics, formerly known as PrestoSQL.

CatBoost is Yandex's open-source gradient boosting library for classification, regression and ranking, with native categorical feature support, CPU/GPU training, distributed training via Apache Spark, and APIs for Python, R, Java and C++.

Curated reading list on building scalable, reliable, high-performance large-scale systems, with design principles, case studies from tech giants, and interview resources.

Apache DataFusion is an extensible query engine written in Rust that uses Apache Arrow as its in-memory format, providing SQL and DataFrame APIs for building fast analytic systems.

ClickHouse is an open-source, column-oriented database management system designed for real-time analytical data reporting.

Cython is an optimizing Python compiler that translates Python code into C/C++ to create efficient extensions.