Datastreamer | The AI Interface for Social Data (original) (raw)

Datastreamer supports social platforms, review sites, forums, other SI platforms, SERP data, trend tools, or any other inputs. Datastreamer handles structured and unstructured inputs.

With over 38,000 ready-to-use capabilities, and many market-leading customers; Datastreamer offers a comprehensive toolkit..

Yes. Datastreamer has a full registry of over 100+ ready-to-use NLP models, LLM integrations, and python components. You can also plug in your own logic and systems.

Datastreamer's Unify is able to abstract each source into a common schema, so your downstream systems don’t have to handle structural drift, missing fields, or format mismatches.

While compliance requirements can be quite broad and use-case specific, Datastreamer has a wealth of data processing, PII detection, redaction, hashing, and other capabilities that you can use in your pipelines.

With managed infrastructure, pre-built components, self-healing workflow creation, and connector toolkits; Pipelines can go to production instantly.

This provides faster time to market, no ongoing maintenance, and lower risk surface for managing content ingestion, drift, and data normalization.

Datastreamer's team is fully integrated into the onboarding and support process with our customers.

We focus on strategic alignment at an executive level and are often involved in roadmap and feature-design discussions with our customer's product and engineering teams.

It’s fully managed. There is no infrastructure to deploy or maintain. Your pipelines and Datastreamer's Orchestrator work together to handle scaling, updates, and availability so your team can stay focused on building your product.

Yes, we partner with many providers for ETL, database, and similar offerings.

ElasticSearch, Google Cloud, Fivetran, and more are listed partners of Datastreamer.