Pathway
4.64
0
Pathway enables real-time data product development, handling data updates seamlessly and supporting various deployment options.
What is Pathway?
Pathway is a software framework developed to address the industry challenge of lacking software infrastructure capable of automated reasoning on data streams in real-time. It enables the creation of real-time data products by allowing software engineers to focus on code logic without worrying about changing data inputs. Pathway's reactive design ensures that data updates are managed seamlessly, resulting in data products that are easy to develop, maintain, and run efficiently on top of its engine. It streamlines the ML/AI project lifecycle from prototype to production, supporting various deployment options and providing high-speed updates from live data sources like cloud folders, databases, APIs, and more. Pathway's features include streamlined cloud-native development, fast and synchronized data processing, deployment flexibility, customizable code templates, and interaction with external APIs and models like LLMs.
Who created Pathway?
Pathway was created by a team of individuals with backgrounds from the best AI labs, including ex-Googlers, top competitive programmers, and experts in Distributed Systems, Machine Learning, and Complexity Science. The founder, Zuzanna, completed her PhD in forecasting maritime trade and identified a need for applying Machine Learning to data streams in logistics. She was joined by Jan, who had experience at Google Brain, along with Adrian and Claire. Together, they developed Pathway to address the industry's lack of software infrastructure for real-time data processing.
Who is Pathway for?
- Software engineers
- Python Developers
How to use Pathway?
To use Pathway effectively, follow these steps:
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Setting Up Data Ingestion: Easily connect and sync data from over 300 sources for vector search, real-time features, and anomaly alerts. Pathway automatically synchronizes data for accurate AI insights from connected documents and tables.
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App Templates Setup Guide: Pathway offers app templates and a setup guide to create real-time data fetching applications without the need for complex databases or stacks.
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Streamlined Development: Built with Rust for Python developers, Pathway streamlines the ML/AI project lifecycle from prototype to production. It supports deployments across different environments like local, notebook, and scaled containers.
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Connect Live Data Sources: Access live data from sources like SharePoint, Google Drive, S3, Delta Tables, Kafka, databases, and over 300 APIs such as Salesforce and Hubspot. Pathway's high-speed engine provides real-time updates, scalability, and cost-efficient computing.
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Deployment Flexibility: Own your deployment using Docker or Kubernetes, on-premises or cloud, avoiding multiple databases and compute engines. Simplify your setup and gain full control over your data pathways.
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Customization and Integration: Choose from ready-to-use Pathway templates tailored for different industries and data types. Customize using Pathway's library, connectors, and integrations for safe interaction with LLMs and external APIs.
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Reactive Design: Pathway allows Python developers to easily build real-time data products at scale, focusing on code logic without worrying about data updates. The framework manages data processing seamlessly for up-to-date BI dashboards.
By following these steps, users can leverage Pathway's capabilities efficiently in developing real-time data applications for a variety of use cases.
Pathway FAQs
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What is Pathway for Enterprise?
- Pathway for Enterprise is a framework for Python developers to easily build real-time data products at scale.
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Who created Pathway?
- Pathway is created by people who worked in the best AI labs in the world, including ex-Googlers, top competitive programmers, and experts in Distributed Systems, Machine Learning, and Complexity Science.
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What problem does Pathway aim to solve?
- Pathway aims to address the lack of software infrastructure capable of doing automated reasoning on top of data streams in real-time.
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How does Pathway help software engineers?
- Pathway helps software engineers focus on developing excellent code logic without having to worry about how data changes over time, by making the data processing framework take care of all data updates.
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What data sources can Pathway connect to?
- Pathway can connect to live data sources like SharePoint, Google Drive, S3 and Delta Tables, cloud folders, Kafka, databases, and 300+ APIs such as Salesforce and Hubspot.
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How scalable is Pathway?
- Pathway's high-speed Rust engine delivers real-time updates and is scalable to hundreds of CPU cores, with cost-efficient incremental computing, persistence, and caching.
Get started with Pathway
Pathway reviews
Amina Khan
January 16, 2025
What do you like most about using Pathway?
I love how Pathway simplifies the development process for real-time data products. The seamless handling of data updates allows our team to focus on the logic rather than worrying about the data flow.
What do you dislike most about using Pathway?
The initial learning curve can be a bit steep, especially in understanding the reactive design. However, once you get the hang of it, it becomes intuitive.
What problems does Pathway help you solve, and how does this benefit you?
Pathway helps us manage continuous data streams in real-time, which is crucial for our applications. This results in faster product iterations and the ability to respond quickly to market changes.
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Jorge Martinez
February 4, 2025
What do you like most about using Pathway?
The deployment flexibility is fantastic. We can deploy our solutions across various platforms without major changes, which is a huge advantage.
What do you dislike most about using Pathway?
Sometimes the documentation can be a bit lacking in examples, which makes it hard to implement some advanced features at first.
What problems does Pathway help you solve, and how does this benefit you?
Pathway allows us to quickly integrate data from multiple sources, making our data products more robust and responsive. This has improved our operational efficiency significantly.
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Sofia Nguyen
January 23, 2025
What do you like most about using Pathway?
The speed of data processing is impressive. We have managed to reduce latency in our applications, which enhances the user experience.
What do you dislike most about using Pathway?
At times, I find the user interface a bit overwhelming with so many options available. A more streamlined approach would be beneficial.
What problems does Pathway help you solve, and how does this benefit you?
Pathway helps us tackle the challenge of real-time data updates, enabling timely decision-making. This has been crucial for our analytics projects.
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