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
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
If your data infrastructure isn’t ready for AI, neither is your organization. In fact, a recent report outlined that 95% of enterprise AI pilot projects are failing to deliver meaningful results. The issue is not the AI models. It comes down to “flawed enterprise integration”, in other words: the inability for enterprises to connect AI […]| Striim
For the modern enterprise, data is everywhere — scattered across disconnected systems, inconsistent formats, and siloed teams. This fragmentation creates duplication, delays, and blind spots that make it harder than ever to turn data into insight. The answer is data integration. It’s not just an IT task – it’s a competitive and revenue enabler that […]| Striim
The race is on. Enterprises and companies of all sizes are running full speed towards the transformative benefits of AI. According to McKinsey, AI received $124.3 billion in equity investment last year alone, and 92% of executives are planning to invest more over the next three years. To get AI-ready, companies need a trusted, real-time […]| 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
Artificial Intelligence (AI) has shifted from hype to mandate. In 2023, enterprises were experimenting with pilots. By 2024, AI spending had surged sixfold to $13.8 billion. In 2025, AI is no longer optional—it’s a board-level directive. Yet despite the urgency, 74% of companies still struggle to achieve and scale value from AI. Most face the […]| 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