Enterprise Knowledge Search · Real-time Analytics
Delivering multi-petabyte financial data to clients across regions and clouds through FTP and ETL pipelines was too slow, siloed, and expensive for RavenPack's growing analytics and AI business.
Reported impact
RavenPack launched new data products, cut global egress cost 14x, and gave investment professionals near-real-time access to financial intelligence through both direct sharing and agentic research workflows.
RavenPack standardized data delivery on Snowflake so client sharing, internal analytics, and AI products all run from one financial repository. Premium market, news, jobs, and alternative datasets are centralized in Snowflake on AWS, replacing fragmented regional pipelines and manual FTP delivery. Snowflake then feeds both direct client sharing and Bigdata.com, RavenPack’s financial research platform, where AI agents pull curated datasets to answer market questions. The same architecture also supports Annotations training datasets for customers building their own large language models. Because RavenPack already runs heavily on AWS, Bigdata.com agents can use AWS Bedrock for reasoning while pulling trusted data from Snowflake, and zero-ETL sharing keeps access fast for clients. Egress Cost Optimizer routes data across 15 regions without dataset duplication, giving RavenPack near-real-time distribution, simpler integration, and a lower-cost path from raw data to AI-ready insight.
Multi-petabyte financial and alternative datasets land in Snowflake on AWS, where RavenPack publishes them directly to clients and to Bigdata.com. Bigdata.com agents use AWS Bedrock and Snowflake data together, while Snowflake sharing and Egress Cost Optimizer distribute the same source data across 15 regions at lower cost.
Already, that helps us reduce our costs 14-fold.
As soon as new data is processed, RavenPack's clients can access it instantly
Bigdata.com financial research agents are largely powered by AWS Bedrock, but can easily draw data from Snowflake
RavenPack relies on Snowflake to power a centralized data repository that drives both internal and external data sharing
with Snowflake zero-ETL data sharing, RavenPack can create more efficient data sharing pipelines
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