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Awesome List
A curated list of awesome big data frameworks, ressources and other awesomeness.
GitHub stars and default-branch commits for oxnr/awesome-bigdata.
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An Open Source Machine Learning Framework for Everyone
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
A library for efficient similarity search and clustering of dense vectors.
LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
YugabyteDB - the cloud native distributed SQL database for mission-critical applications.
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
Get your data in RAM. Get compute close to data. Enjoy the performance.
DEPRECATED: Data collection and processing made easy.
Beringei is a high performance, in-memory storage engine for time series data.
GridDB is a next-generation open source database that makes time series IoT and big data fast,and easy.
Microsoft Graph Engine
An Internet-Scale Database.
Bloomberg's distributed RDBMS
Bistro is a flexible distributed scheduler, a high-performance framework supporting multiple paradigms while retaining ease of configuration, management, and monitoring.
Time-series database
Build platforms that flexibly mix SQL, batch, and stream processing paradigms
InfiniDB Data Warehouse
Wide NoSQL benchmark for RocksDB, LevelDB, Redis, WiredTiger and MongoDB extending the Yahoo Cloud Serving Benchmark