Data processing
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- System for fast, large-scale, serverless data processing using Go.
- Language and runtime for distributed, incremental data processing in the cloud.
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- Implementation of differential dataflow using timely dataflow on Rust. () ()
- Data processing and visualization environment built on a principle that people need an immediate connection to what they are building.
- Event Sourcing and Stream Processing Pipelines at Grab.
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- High-Performance Serverless event and data processing platform.
- Unified analytics engine for large-scale data processing. () () ()
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- Event replay platform. Version control for data passing through your messaging systems. ()
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- Multi-Model Abstract Data Type. Distributed virtual machine capable of integrating a diverse collection of data processing technologies. ()
- Open source layer that delivers resilience and manageability to object-storage based data lakes. ()
- High performance, composable and extendable data-processing pipeline for the big data era.
- Fast, scalable distributed memory data parallel library for processing structured data. ()
- GPU Graph Analytics.
- Secure Apache Spark SQL.
- Unified programming model for Batch and Streaming. ()
- Simple, extensible ETL built for data teams.
- Unified Data Analytics. () ()
- Simple Data Processing Method to Improve Robustness and Uncertainty.
- Framework for building end-to-end functional data pipelines from modular components.
- Way to specify data processing workflows with a human-readable and writeable syntax.
- Open source serverless data solutions. Future of data pipelines. ()