Find open-source projects related to data engineering in this community-curated list.
Awesome Big Data
Explore a curated collection of big data frameworks, resources, and related projects.

About Awesome Big Data
Awesome Big Data is a GitHub repository that holds a curated list of big data frameworks, resources, and related projects. Each entry is a link with a short description, grouped by topic such as databases, distributed programming, data ingestion, and data visualization. The repository is open source and says that contributions are welcome.
The list does not run or analyze data itself. The homepage excerpt shows only one-line descriptions, without comparisons, ratings, or details on how current each entry is. Some sections, such as the reading lists, are dated from 2001 to 2016.
Key features
- Groups frameworks and projects into topic categories, such as RDBMS and Frameworks
- Covers database data models, including document, key-value, graph, and columnar databases
- Lists stream processing, time-series, vector database, and lakehouse table format projects
- Includes sections on data ingestion, data quality, scheduling, benchmarking, and security
- Provides curated reading lists of papers, books, and videos, arranged by year range
- Links to other awesome lists for related subjects
- Organizes a wide range of big data topics into clearly labeled categories
- Includes reading material such as papers, books, and videos alongside tools
- Open source, with a public repository that accepts contributions
- It is a list of links, not a software tool, so it does not process data
- Entries are described briefly, and the excerpt does not include comparisons or evaluations
- Some reading sections are dated from 2001 to 2016
Awesome Big Data at a glance
- Category
- Development › Web Directories & Curated Lists
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Awesome Big Data FAQ
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