PATHWAY

PATHWAY

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Analyse de données Analyse prédictive Analytics Big Data Business Intelligence IA IA générative IOT Open Source Large Language Models (LLM)
Numéro de stand
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Pathway (https://pathway.com/) is the fastest data processing engine supporting unified workflows for batch, streaming data, and LLM applicationsUnique capabilities of the Pathway data processing engine:Fastest data processing engine on the market – unified batch and streaming. Capable of processing millions of data points per second, it largely surpasses current reference technologies such as Spark (in both batch and streaming), Kafka Streams, and Flink. Benchmarking of WordCount and PageRank against the above also found that Pathway supports more advanced operations and is up to x90 faster thanks to its maximised throughput and lower latency. The benchmarks were stress tested by the developer community, and are publicly available (https://github.com/pathwaycom/pathway-benchmarks) so the tests can be replicated. A detailed description of the benchmarks is available in the HAL preprint (https://hal.science/hal-04159614).Facilitates real-time systems – Pathway allows the seamless transition between existing systems, from batch to real-time and LLM architectures (https://github.com/pathwaycom/llm-app), thanks to real-time machine learning integrating fully into the Enterprise context.Ease of development – Batch and streaming workflows can be designed with the same code logic in Python, which is then transposed into Rust. This democratises the ability for developers to design streaming workflows, which have typically required a specialist skillset, and enables what have typically been disparate teams within an organisation to come together. Thanks to this, Pathway becomes the lingua franca of all data pipelines – stream, batch and generative AI.The solution is perpetually deployed with enterprise clients such as La Poste and DB Schenker.

https://pathway.com/


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Analyse de données Analyse prédictive Analytics Big Data Business Intelligence IA IA générative IOT Open Source Large Language Models (LLM)

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26/09/2023 | 13:00 - 13:30 | Salle 2