Datastreamer has launched version 6.5, a release that significantly expands what the platform can do. The update triples the functionality of the Datastreamer API by introducing two new processes for data ingestion and management, giving teams more ways to bring in and work with data across multiple sourcing methods.

Three ways to ingest data

Datastreamer 6.5 brings together three complementary approaches to sourcing data, all managed inside a single platform.

The original Datastreamer API

The platform continues to provide access to billions of data points from millions of sources. Teams can apply custom filtering and aggregation tailored to their specific needs, so the data that arrives is already shaped for the use case at hand.

Expanded data partners

Version 6.5 adds databases and archives managed by Datastreamer, including partnerships with Twingly, Opoint, and Vital4. Through these partners, teams gain access to blogs, forums, databases, archives, records, news, and more, with millions of data points per second.

Custom data sources

Teams can now integrate their own APIs using private data funneling. This allows data from multiple sources to be managed within a single platform, without requiring additional tools to stitch everything together.

New classification features

The release adds new classifiers that run on a query-by-query basis, which helps keep costs under control by applying processing only where it is needed.

  • Redaction Classifier: built in partnership with Private AI to detect and anonymize personal information as data moves through the platform.
  • Sentiment Classifier: Datastreamer's existing classifier for scoring the sentiment of incoming content, now complemented by the new redaction capability.

What changes for your team

By combining these sourcing methods and classifiers into one platform, Datastreamer 6.5 reduces implementation timelines from months to minutes and removes the need for extensive internal engineering resources. The result is a turnkey approach for organizations working with large-scale social and web data.