Rivery

Rivery is thrilled to announce that it is joining forces with Boomi, a leader in intelligent integration and automation! This strategic acquisition marks a new chapter for us, offering incredible opportunities to leverage our advanced Change Data Capture (CDC) technology and unique low-code Extract, Load, and Transform (ELT) capabilities on a much larger platform. As we integrate into Boomi, we are excited to collaborate with a talented team dedicated to delivering world-class solutions to customers globally. Together, we will empower organizations to harness the power of their data and accelerate their digital transformation journey. Thank you to our loyal customers and partners for your support! We can’t wait to see what we will achieve together with you and Boomi in this new adventure!

We are honored to be recognized as a Database Trends and Applications trend setting product in Data and Information Management for 2025! Check out our listing and the full list of vendors below ⬇️ https://lnkd.in/e2fQSBnZ

In the latest episode of NextGenLakehouse, Data & AI Architect Youssef Mrini sat down with our VP of Solutions Engineering Taylor McGrath to discuss how Rivery and Databricks are simplifying ELT. https://lnkd.in/erV47vkW

🚨 Only TWO DAYS until our next masterclass Join Rivery and Snowflake for an exclusive webinar and learn how to harness AI for your business—no Python required! 📅 When: Thursday, December 12th, at 11:00 AM EST What you’ll gain: ✅ A clear roadmap for getting started with AI ✅ Top GenAI use cases that will dominate 2024 ✅ Live demos on building GenAI workflows with just SQL With Rivery and Snowflake Cortex AI, anyone—from data analysts to engineers—can: 🚀 Automate manual processes 🚀 Enhance pipeline accuracy 🚀 Use AI to identify at-risk customers Your Guides: 🗣️ Antoine Lentschener – Sales Engineer, Snowflake 🗣️ Merveen Pandoo – Solutions Engineer, Rivery Take the first step to democratizing AI in your organization. Secure Your Spot Now ➡️ https://hubs.li/Q02-8cp10

🔗 The Secret to GenAI Success? Reliable Data Pipelines. GenAI applications are only as good as the data powering them. Poor-quality pipelines can lead to hallucinations, inaccurate results, and a loss of trust. Our CEO, Itamar Ben Hemo, explains: building pipelines for GenAI isn’t just about handling structured data anymore—it’s about transforming unstructured inputs, integrating with vector databases, and orchestrating workflows for AI-driven insights. Itamar shares his thoughts below in an interview with BetaNews, Inc. ⬇️ https://lnkd.in/eS2TuE2v

At Rivery, we’re not just building technology—we’re building a community of partners and innovators to help businesses unlock the full potential of their data. Today, we’re excited to announce new integrations with Amazon Web Services (AWS) Q and Snowflake, alongside ongoing investments in our partner ecosystem. Here’s what’s new: 👉 Amazon Q Integration: Create personalized GenAI assistants using Retrieval Augmented Generation (RAG) workflows. Leverage secure, real-time enterprise data to power AI applications with fewer hallucinations. 👉 Snowflake as a Data Source: Simplify cross-platform data management, syncing and migrating Snowflake data to any destination. Activate Snowflake data for operational systems, AI applications, and beyond. 🎙️ As our VP of Global Sales & Partnerships, Scott Hanrahan, puts it: "Our proactive strategy to grow Rivery’s partner program is key to scaling success for our customers. By working with resellers, systems integrators, and consultants, we’re creating opportunities to deliver transformative data solutions across industries." Our partnerships with AWS and Snowflake reflect our commitment to providing the best tools and expertise for data-driven businesses. 💡 Together with our partners, we’re helping companies modernize their data stacks, streamline processes, and build powerful GenAI solutions. https://lnkd.in/esRMvczJ

🚨 Join us Tomorrow! 🚨 📅 Thursday, December 5th 🕚 Time: 11:00 AM EST Data Engineers: Struggling to prove the ROI of your work while hitting cost reduction KPIs? We’ve got you covered! Join our webinar to learn how companies like Artlist achieved 4X faster data delivery and cut their Snowflake costs in just 30 days. We’ll cover: 🚀 Building efficient data architectures ⚡ Accelerating data delivery 🔍 Uncovering optimization opportunities 🔗 Using lineage to showcase the impact of your data pipelines Speakers: 🔹 Hannan Kravitz, Data Engineering Lead, Artlist 🔹 Ariel Pohoryles, Head of Product Marketing, Rivery 🔹Guy Biecher, Co-Founder & CTO, Seemore Data 👉 Register now: https://hubs.ly/Q02ZC1Jf0

🌟 Unleashing GenAI for Your Data Workflows Curious about GenAI but unsure how to use it in real-world data analytics? We’ve got you covered! Join Rivery & Snowflake for an exclusive webinar where we’ll show you how to make AI work for your business—no Python required! 📅 When: Thursday, December 12th, at 11:00 AM EST What you’ll gain: ✅ A clear roadmap for getting started with AI ✅ Top GenAI use cases that will dominate 2024 ✅ Live demos on building GenAI workflows with just SQL With Rivery & Snowflake Cortex AI, anyone—from data analysts to engineers—can: 🚀 Automate manual processes 🚀 Enhance pipeline accuracy 🚀 Use AI to identify at-risk customers Your Guides: Antoine Lentschener – Sales Engineer, Snowflake Merveen Pandoo – Solutions Engineer, Rivery Take the first step in democratizing AI across your organization. Secure Your Spot Now ➡️ https://hubs.li/Q02-8cp10

**🌟 Webinar Alert: Optimizing Data ROI 🌟** **Data Engineers: Struggling to hit your cost reduction KPIs? Join us for a game-changing webinar!** **📅 Date:** Thursday, December 5th   **🕚 Time:** 11:00 AM EST Data Engineers knows all about the power of measuring performance but often face challenges in proving the value of their own work. While demonstrating Data ROI can be tough, showcasing data delivery efficiency and cost reduction doesn’t have to be. Many data engineering teams are now embracing modern data management approaches, using cloud data warehouses like Snowflake and consumption-based data models. Delivery speed is increasing, but so are complexity and costs. How can you achieve your data management cost reduction goals? **Join our masterclass to learn how leading companies like Artlist managed to deliver data 4X faster and reduce their Snowflake costs within 30 days.** Discover: 🚀 **The key ingredients of an efficient data architecture**   ⚡ **How to accelerate data delivery**   🔍 **How to identify data optimization opportunities**   🔗 **How lineage from data pipelines to the BI layer reveals the impact of your data work** **Meet the Speakers:** **🔹 Hannan Kravitz:** Data Engineering Team Leader, Artlist   **🔹 Ariel Pohoryles:** Head of Product Marketing, Rivery   **🔹 Guy Biecher:** Co-Founder & CTO, Seemore Data 👉 Save your seat: https://hubs.ly/Q02ZC1Jf0 #DataEngineering #Webinar #DataROI #Snowflake #DataManagement

Continuing Our Series on 2025’s Hottest Data Engineering Trends Next Up → Data Pipelines for AI Applications Data pipelines are the backbone of AI systems, enabling real-time interactions and advanced analytics by feeding AI models with the necessary data. For AI to truly deliver value, businesses need robust, reliable pipelines to process and integrate unstructured data into AI workflows seamlessly. 📊 Why It Matters Building code to extract and transform data from various sources often takes weeks, slowing innovation. AI can automate much of this work, accelerating progress and efficiency. "AI will empower data engineers to focus on higher-value tasks. It’ll make their life easier in areas that they don’t want to invest. Maintaining pipelines for rapidly changing APIs isn’t exactly thrilling work. AI takes over the drudgery, letting engineers focus on innovation." 🎙️ Tune In Catch Rivery’s CEO, Itamar Ben Hemo, on the latest Grit Daily News podcast, discussing the critical role data pipelines play in driving AI applications. https://lnkd.in/ezujTYTb