Learn how Striim and causaLens combine real-time, trusted data with causal reasoning to build safe, strategic, and scalable digital workers that drive measurable business outcomes.| Striim
In a world run on AI and instant analytics, stale data is a major business risk. If you’re here, it’s likely because your teams are struggling with delayed reports, unreliable integrations, or systems that simply don’t speak the same language. This guide breaks down how to address these challenges with a robust data synchronization strategy. […]| Striim
Modern governance tools deliver measurable business outcomes. When you embed governance into your data strategy, you can: Unlock hidden revenue opportunities with unified data from a single source of truth. Boost efficiency by giving stakeholders real-time insights without hours of data preparation. Reduce risks by supporting cloud migrations and hybrid architectures without disruption. Most importantly, […]| Striim
Intelligent systems demand real-time inputs. Whether it’s agentic AI, capable of handling complex, multi-step processes, or smaller scale generative AI use cases, stale information puts AI on the back foot. Perhaps Sridhar Ramaswamy, CEO of Snowflake and Google veteran, put it best: “Everybody knows there’s no AI without data, without the right data, without high […]| Striim
Find the best Change Data Capture (CDC) tool for your organization. Our guide compares top solutions like Striim, Confluent, and Fivetran on features, pricing, and use cases for powerful, real-time analytics.| Striim
Agentic intelligence has the potential to transform every industry. But only when connected to relevant context. The major LLMs many of us are familiar with: ChatGPT, Claude, Perplexity, and Gemini, are only so useful in the enterprise context. In order to handle complex tasks within a large organization, AI systems need more than individual prompts. […]| Striim
AI systems need fresh, high-quality context right now, not batches of data delivered hours later. Delayed data is “a silent killer” for AI initiatives. In a recent Forbes article, CEO and Cofounder of Raven DB, Oren Eini described feeding AI models delayed data as “playing broken telephone with your most important business decisions.” The answer […]| Striim
Your complete guide to cloud data management. Learn to build a future-proof, real-time data architecture, from core components and security to emerging trends.| Striim
A comprehensive list of Striim's supported sources and targets. A broad range of out-of-the-box solutions for real-time data movement and processing.| Striim
Discover what a data pipeline is and seven must-have features of successful modern data pipelines.| Striim
Explore the essential features of smart data pipelines and discover the nine key capabilities successful pipelines must have.| Striim
Learn how Striim's real-time AI-powered search system provides instant, accurate results and smooth data synchronization across multiple databases.| Striim
Discover why real-time data processing is essential for modern businesses, enhancing decision-making, operational efficiency, and customer experience.| Striim
Unlock real-time data from your Oracle databases. This guide explores Oracle CDC methods, benefits, and challenges to help you overcome batch data limitations.| Striim
Reinventing data governance for the AI era: Learn how Striim's smart tools protect sensitive data and support compliance.| Striim
Your complete guide to data governance strategy. Learn to build a modern framework for real-time execution, from core components and compliance to AI-ready pipelines.| Striim
It started with a tweet. In the afternoon of November 30, 2022, with just a few modest words, Sam Altman unleashed ChatGPT upon the world. Within hours, it was an internet sensation. Five days later, the platform reached 1 million users. ChatGPT’s seminal moment wasn’t a singular case. Looking back, we know ChatGPT and its […]| Striim
Streaming data integration and operational intelligence. Check out how the streaming BI world is changing!| Striim
https://www.youtube.com/watch?v=Ft0qY55Rsqw Joe Reis joins us to reflect on life after Fundamentals of Data Engineering, what makes data content worth consuming, and why good taste matters as much as technical skill. We talk about burnout in big tech, the myth of AI replacing everyone, and how Discord communities, DJ sets, and a sense of humor are […]| Striim
Modern, reliable data integration across your private and public cloud. All in real-time with change data capture and data streams.| Striim
Discover how real-time data is fueling the successful utilization of artificial intelligence, and dive into use cases that demonstrate its value.| Striim
Striim Cloud for Application Integration: Stream real-time CRM, ERP, Billing, and Payment data from cloud apps to data warehouses in minutes with zero coding.| Striim
A guide on when real-time data pipelines are the most reliable way to keep production databases and warehouses in sync. Photo by American Public Power Association on Unsplash Co-written with John Kutay of Striim Data warehouses emerged after analytics teams slowed down the production database one too many times. Analytical workloads aren’t meant for transactional databases, which […]| Striim
