Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
The Custom Function component allows you to write Python functions to manipulate and transform documents within your pipeline. This flexibility enables you to perform a wide range of tasks, from simple data cleaning to merge documents. Whether you're filtering documents, enriching data, or transforming formats, the Custom Function component empowers you to customize your pipeline to meet your specific needs.
Scrape Live Financial Markets Data. From AI-powered algo trading to in-depth market analysis. Gather live data for real-time decision Making.
How Datastreamer works
Quickly apply Cloud Run Functions to The Social Proxy Financial Market Datasets with a Datstreamer Pipeline.
To support enterprise-scale data integration, pipelines must ingest web data from varied origins, including trusted partners, internal databases, and external web-based assets.
Transform your web data at scale with Datastreamer. Whether you're enriching, storing, joining, or filtering, you'll find hundreds of ready-made operations to help you move fast.
Datastreamer transforms how you use web data. Grow your Pipelines without disruption and finally streamline the operational side of your workflow.
Add Datastreamer components to your data stack and explore its full capabilities
