Exasol Agent Skills is available today, and it does something pretty incredible: it teaches your AI coding assistant (Claude and Codex) how to actually work with Exasol. 💡 The big picture: this is how you build end-to-end data and AI applications with Exasol without leaving your IDE. Your agent can load data, query data, build and deploy UDFs, manage BucketFS - the full data engineering workflow, not just SELECT statements. Skills include: ✅ Exasol Database — queries, data loading, cloud sources, and all the Exasol SQL quirks your agent didn't know about ✅ UDFs — building User Defined Functions in Python, Java, Lua, or R, plus packaging them into Script Language Containers ✅ BucketFS — managing files in Exasol's distributed file system ✅ A /exasol slash command in Claude Code for running SQL or describing tasks in plain English Check out the repo to learn more (and even build your own!): 👉 check link Take a look at how easy it is to get started and build your Exasol project - all with natural language!
🎬 How time flies! It’s already been one week since hashtag#ExasolXperience And the conversations are still buzzing. Over two days in Berlin, we explored what’s really shaping the future of data, analytics, and AI: 🤖 AI moving from ambition to production 🔐 Data sovereignty as a strategic priority ⚡ Performance at scale still matters 🧠 Agentic AI and what comes next 🏗️ Evolving data architectures But beyond the sessions, it was the community that stood out: the conversations, the debates, and the shared experiences. Take a look at some of the highlights 👇 If you joined us — what’s stayed with you most? hashtag#ExasolXperience hashtag#AI hashtag#Analytics hashtag#DataStrategy hashtag#Community
💡 Not all databases are built the same. From relational to graph, key-value, and analytical systems, each database type is optimized for specific workloads, query patterns, and scalability needs. Choosing the right one isn’t about popularity, it’s about fit for purpose: 🔹 Relational → Structured data, strong consistency, complex queries 🔹 Document → Flexible schemas, JSON-like structures 🔹 Key–Value → Ultra-fast lookups and caching 🔹 Graph → Relationship-heavy data and network analysis 🔹 Analytical (OLAP) → High-performance queries at scale And here’s the twist: A single database can be relational by model, columnar by storage, and analytical by workload. Sound familiar? 🙃 👉 Dive deeper into how database types are classified, when to use each, and what makes one better suited than another for your data strategy in our article below:
🚀 Big News in Analytics! 🚀 Imagine: all the power of enterprise analytics, now in your hands: meet Exasol Personal, a powerful, enterprise-grade analytics engine now available FREE for personal use, with no limits on memory, storage, or compute. You can spin up your own distributed cluster in minutes, run SQL intermixed with code in Python, R, Java, and Lua, and tackle big data and AI workloads at any scale. Key highlights: ✔️ All enterprise features, now free for individual users ✔️ No scale restrictions: handle massive datasets and complex ML workloads ✔️ Federate queries across multiple data sources with Virtual Schemas Curious to learn more or try it yourself? Dive into the full announcement by our CPO, Alexander Stigsen, and join the analytics revolution on this link.
🇮🇳 We’re live in India! We’re excited to announce the launch of our Exasol India Careers Page on LinkedIn 🎉 Build your future at Exasol’s Tech Hub in India, operated by adesso, and be part of a team working on cutting-edge data technology. 📍 Chennai, India 💡 Exciting roles 🤝 Strong collaboration 🚀 Real impact 👉 Check out all open positions at our Chennai office and join us on this journey: Apply now and grow with Exasol! #Exasol #CareersInIndia #TechJobs #ChennaiJobs #EmployerBranding #NowHiring
