CrateDB

FMCG Manufacturing Leaders and Operations Teams: Do you really see what’s happening on your shopfloor in real time? 🏭📈 In FMCG manufacturing, even small inefficiencies add up fast. Unplanned downtime, quality deviations, workflow bottlenecks, or incomplete traceability can directly impact margins, compliance, and brand trust. The challenge is not the lack of data, but the lack of real-time visibility across systems. CrateDB is built to power real-time analytics for FMCG manufacturing operations. Here’s where it makes a difference: ✅ Shopfloor optimization in real time ✅ Continuous quality control ✅ Compliance and end-to-end traceability ✅ Built for industrial data at scale By unifying shopfloor, quality, and compliance data into a single real-time analytics database, CrateDB helps FMCG manufacturers increase throughput, reduce waste, ensure compliance, and run more resilient operations. Want to see how real-time analytics transforms FMCG manufacturing? ⚙️ Explore how CrateDB supports shopfloor optimization, quality control, and traceability in FMCG: https://lnkd.in/e_pJ38uc #FMCG #RealTimeAnalytics #SmartManufacturing #CrateDB

SaaS Founders and Engineering Leads: Is "database sprawl" slowing your growth? 🚀 Building a modern SaaS platform shouldn't mean managing a complex "Frankenstein" stack of specialized databases. As your data grows, so does the "complexity tax", unless you have the right architecture. CrateDB is designed to help SaaS companies consolidate their data stack and scale effortlessly. Here’s how: ✅ One database, All data types: Stop juggling different systems for structured records, JSON documents, time-series, geospatial data and vector embeddings. CrateDB handles them all in a single, unified environment. ✅ Scale without the headache: With its shared-nothing architecture, you can scale horizontally as your user base grows: no manual re-sharding or downtime required. ✅ SQL familiarity: Your team already knows how to use it. Leverage standard SQL to query massive datasets at sub-second speeds, reducing the need for specialized training or expensive hires. ✅ Agility by design: Support for dynamic schemas means you can evolve your product and add features on the fly without the friction of traditional database migrations. By simplifying your infrastructure, CrateDB helps you reduce operational costs and maintain high-performance SLAs, so you can focus on building a better product for your customers. Ready to optimize your SaaS data layer? 🛠️ Check out how CrateDB powers scalable real-time analytics backends for SaaS companies: https://lnkd.in/eHCYqz8b #SaaS #Database #DataEngineering #CrateDB #Scalability #SQL #TechStack

Live Webinar: "From Sensors to Dashboards: Building Real-Time Analytics Pipelines That Actually Work". The promise of real-time data is everywhere, but for most engineering teams, the reality is a nightmare of stale data, system bottlenecks, and lagging dashboards that are useless for operational decisions. If your team is spending more time tuning infrastructure and reprocessing data than delivering new value, you are not alone. In this session, Gregor Bauer (VP Customer Engineering) and Stephane Castellani (SVP Marketing) will break down why a modern real-time pipeline shouldn't be bolted together—it should be an integrated system designed for speed. What you will learn ➡️ You will learn the three principles for building real-time analytics that work: 1️⃣ Real-Time is a System Property: It must be designed from the start, not added as an afterthought 2️⃣ Architecture Matters More Than Tools: An integrated architecture is the foundation of success 3️⃣ Simplicity Enables Speed: Reducing complexity is the fastest path to delivering value We’ll showcase how industry leaders are using CrateDB to collapse complex architectures into simplified, high-performance engines. Don’t miss this blueprint for a simpler, faster architecture.

Weekly Digest – January 8–16 ➡️ Event | CrateDB European City Tour Coming to Madrid ➡️ How-to Guide | Load data from an AMQP queue into CrateDB

Data is no longer something businesses analyze after the fact. It is streaming in continuously. From applications, sensors, user interactions, transactions, and logs. And teams are expected to act on it instantly. That reality breaks many traditional data architectures. ✅ Transactional databases are not designed for large-scale aggregations. ✅ Batch pipelines introduce latency. ✅ Separate systems for analytics, search, and AI add complexity and slow teams down. Modern teams need analytics databases built for today’s reality: ⚡ Real-time ingestion and querying 📈 Massive scalability without constant tuning 🔍 Fast aggregations, search, and time-series analysis 🧠 A foundation that can also feed AI models 🧩 Flexibility to handle structured and semi-structured data with SQL 👉 Read the full article here: https://lnkd.in/ezwDMp_n #RealTimeAnalytics #DataArchitecture #Databases #StreamingData #AnalyticsEngineering #AIData #CrateDB

Your data is moving faster than your decisions ⚡️ Streams never pause 🌊 Signals keep firing 📡 And the demand is always the same: answers now ⏱️ Analytics 📊 Search 🔍 Operational decisions 🧠 Even AI driven insights 🤖 So the real question is not whether you have data. It is whether your systems can keep up. In this video, we dive into CrateDB, the database built for this exact reality 🚀 One that turns high-velocity streaming data into instant, actionable insight ⚙️ If your data moves in real time, your analytics stack should too. Watch the video 🎥 And tell us what "real time" really means in your world 💬 💡 Video created with the help of NotebookLM #RealTimeAnalytics #StreamingData #DataEngineering #Databases #AI #ModernDataStack

There is no better way to kick off the year than with a simple infographic... Happy New Year, everyone! #RealTimeAnalytics #RealTimeAI #DistributedArchitecture #ModernDatabase

Weekly Digest – January 1–8 ➡️ Product | CrateDB Cloud ➡️ How-to Guide | Load data from InfluxDB into CrateDB  ➡️ Blog | Distributed Search Engine: Powering Search at Scale in Modern Data Platforms ➡️ Blog | IoT Analytics: Turning Real Time Device Data into Actionable Insights

2025 is coming to a close, and 2026 is just ahead. This moment offers a chance to reflect on an outstanding year and to prepare for the opportunities ahead. We want to thank our customers, partners, providers, investors, and team members for making this year a success. Real time insights are becoming the new standard in modern data architectures, and we are proud to help make this transformation a reality at CrateDB. The entire CrateDB team wishes you a wonderful holiday season and a Happy New Year. We look forward to achieving even greater things together in 2026.

Weekly Digest – December 11–18 ➡️ Product | CrateDB's infrastructure ➡️ How-to guide | Store Prometheus long-term metrics into CrateDB ➡️ Blog | Real-Time Data Processing: What It Is, Why It Matters, and How Modern Systems Make It Possible ➡️ Blog | What Is an Edge Database? Why It Matters for Real Time AI and IoT ➡️ Blog | My AI Predictions for 2026: From Hype Cycle Reset to Structural Transformation Predictions