Join us at the Gartner Data & Analytics Summit for insights from Fidelity Investments' journey in building an event streaming platform, highlighting strategies and lessons learned to empower organizations to stay ahead in the evolving data landscape. Booth 830 #GartnerDA

How does Drata process millions of events per day across thousands of isolated vector databases? By leveraging Decodable for real-time data ingestion and @Vellum_AI to rapidly experiment and validate AI features. Join our tech talk to learn more 👉 dcdbl.co/43gfMyc

Join us at the Gartner Data & Analytics Summit for insights from Fidelity Investments' journey in building an event streaming platform, highlighting strategies and lessons learned to empower organizations to stay ahead in the evolving data landscape. Booth 830 #GartnerDA

Medidata leverages Decodable to continuously cleanse, transform, and format the data in Iceberg to provide gold-level data sets in real-time at scale. Watch the on-demand tech talk for the full story 👉 dcdbl.co/4aFd3Qm

Explore your options for running a successful data infrastructure technology stack at scale in production, powered by the core open-source software projects Apache Flink and Debezium. 👉 dcdbl.co/43b27Ze

Not every workload demands constant processing. Our new Scale to Zero feature introduces intelligent job lifecycle management with automatic pausing and resuming to optimize costs while maintaining the responsiveness of your data pipelines. Learn more 👉 dcdbl.co/41CEBlx

How does Drata process millions of events per day across thousands of isolated vector databases? By leveraging Decodable for real-time data ingestion and @Vellum_AI to rapidly experiment and validate AI features. Join our tech talk to learn more 👉 dcdbl.co/43gfMyc

Together Decodable and @Vellum_AI enable you to build high-performance AI systems powered by real-time data streaming. 🎯 Vellum enables rapid development and deployment of AI solutions 🎯 Decodable ingests and processes real-time data to provide vector databases with the

Decodable simplifies the process of providing agentic AI with real-time data to keep vector databases updated, augment user prompts to LLMs with real-time context, and ensure AI outputs remain current and accurate. 👉 dcdbl.co/4hjUbIA

Discover how Medidata reduced latency, enabling their data consumers to access critical insights in minutes. Watch the on-demand tech talk for the full story 👉 dcdbl.co/4aFd3Qm

2025's biggest disruptor? Streaming > AI. Eric Kavanagh on #DMRadio says streaming is more mature, with clearer use cases—and it could outpace AI in impact. Watch the tech talk to find out why 🎥 dcdbl.co/4fKL82q

Medidata moved thousands of siloed batch pipelines to a centralized, scalable platform powered by Flink. Watch the on-demand tech talk for the full story 👉 dcdbl.co/4aFd3Qm

True success with agentic AI depends on much more than just plugging in a language model. It requires a comprehensive approach that ensures AI decisions are informed, relevant, and actually helpful for your customers. Eric Sammer explains the risks of agentic AI making things worse

Discover how Drata went from prototype to a production AI application in just two months with the help of Vellum and Decodable. Watch the on-demand tech talk for the full story 👉 dcdbl.co/43gfMyc

It's time to transform how you handle real-time data. Join us for a virtual hands-on lab and we'll teach you how to: 💡 Stream Postgres changes to OpenSearch. 💡 Denormalize data for faster insights. 💡 Perform real-time joins with streaming SQL. Sign up here:

Join Kevin , Anita, and Sharon to learn how Drata is delivering real-time context with streaming data to enhance AI accuracy with the help of Vellum and Decodable. Watch the on-demand tech talk for the full story 👉 dcdbl.co/43gfMyc

Get a deep dive into how integrating real-time data can elevate agentic AI systems to new levels of autonomy, intelligence, and efficiency. Learn how to harness real-time data, drive autonomous decision-making, and overcome common AI challenges. 👉 dcdbl.co/42dep10

Discover how Drata went from prototype to a production AI application in just two months with the help of Vellum and Decodable. Watch the on-demand tech talk for the full story 👉 dcdbl.co/43gfMyc

AI models need more than raw data, they need real-time context. Decodable provides stateful stream processing to power LLMs and other AI systems so they can detect patterns across streams, maintain state across events, and respond to real-time business signals with precision.

Always nice and a real pleasure to bump into fellow #Decoders ... Met with Decodable's Sharon Xie shortly before the #speakers reception right here at #Current25 in London 🇬🇧 tonight...