Datastreamer

Datastreamer is turnkey data platform to source, unify, and enrich unstructured data with less work than building data pipelines in-house.

Traditional ETL processes and pipelines might not meet the needs of organizations who want to implement unstructured and semi-structured sources such as external social media, blogs, news, forums, and dark web data into their products. This leaves data teams to build pipelines internally which comes with time-draining technical complexities and prohibitive costs. Datastreamer aims to solve the gap between data suppliers and data consumers by transforming unstructured web data into an enriched, structured format that accelerates analytics.

Customers use Datastreamer to save hours of work for analysts in Threat Intelligence, Media Monitoring, and KYC/AML.

Scale with Less Operating Costs
The vendor states that a Datastreamer customer saves 3-6 months of time and $750k/year compared to building data pipelines in house. The solution helps to accelerate the user's roadmap by eliminating the most time-consuming aspects of data ingestion, and minimize data ingestion costs by plugging into a managed infrastructure that is optimized to handle massive volumes of text data.

Source & Unify Data
Billions of data points can be accessed with Datastreamer's pre-integrated data partners or the user's own data sources can be connected. Datastreamer unifies source data into a common schema that can be used from multiple sources simultaneously.

Enhanced Data with AI Models & Operations
Built-in AI models enrich data, such as sentiment analysis and PII redaction. Previously unstructured data can be searched or queried, and real-time streams can be monitored.