EuclidesDB vs PipelineDB: What are the differences?
EuclidesDB: Machine learning feature database tight coupled with PyTorch. It is a multi-model machine learning feature database that is tight coupled with PyTorch and provides a backend for including and querying data on the model feature space; PipelineDB: The Streaming SQL Database. PipelineDB is an open-source relational database that runs SQL queries continuously on streams, incrementally storing results in tables.
EuclidesDB and PipelineDB can be primarily classified as "Databases" tools.
Some of the features offered by EuclidesDB are:
- Written in C++ for performance
- Uses protobuf for data serialization
- Uses gRPC for communication
On the other hand, PipelineDB provides the following key features:
- No Application Code
- Runs on PostgreSQL
- Eliminate ETL