Your AI stack is missing a critical layer. Forrester's new report calls Multimodel Data Platforms “The Missing Layer in Your AI Stack,” and we’re proud to be recognized in their Q4 2025 Landscape. MMDPs form the cognitive core for agentic AI, unifying the 'brain' and 'memory' to eliminate data silos and power accurate, context-aware outcomes. 🚀 🔗 Read the full news release: bwnews.pr/4qubg7L 📘 Access the Forrester report: bit.ly/4qVOYvE

🎄🥑 Happy Holidays from all of us at Arango! As the year winds down, we want to say thank you to our customers, partners, and community for an incredible year of collaboration and innovation. Wishing you a joyful holiday season and a healthy, successful New Year. We’re excited for what’s ahead in 2026! ✨

That’s the moment ArangoDB Enterprise Edition is built for. 🚀 Teams that started on Community Edition are now hitting real-world limits: • Slower queries as data explodes • Compliance blockers (SSO, audit logs, encryption) • End-of-life risk on unsupported versions • License constraints for commercial use In our latest blog, Ravi Marwaha, Chief Product & Technology Officer at Arango, breaks down why the move to Enterprise isn’t just a feature upgrade — it’s an architectural shift: ✅ Intelligent Sharding & SmartGraphs for 10× data with sub-second latency ✅ Enterprise-grade security & compliance (SOC 2, SSO, encryption, audit logging) ✅ Always-on availability with Active Failover & Hot Backups ✅ A multi-model foundation that’s ready for GenAI and Arango AI Services If you’re running ArangoDB Community Edition in production today, this is your roadmap to scale, security, and future-ready workloads — without starting over. 📘 Read the full blog: From Prototype to Production: Why It’s Time to Move to ArangoDB Enterprise Edition 👉 okt.to/Bs8Jdq

AI doesn’t fail because of the model. It fails because of the data underneath it. And most enterprises are learning this the hard way. The moment AI moves from a prototype to a real product, everything that was “good enough” in the data layer starts to crack: • Too many systems to integrate • Too many pipelines to maintain • Too many versions of the truth • Too much latency between where data lives and where AI needs it So instead of asking, “How do we add more AI?” Leaders are now asking: 🟢 “How do we fix the foundation AI depends on?” Forrester’s latest report hits this head-on: Multimodel Data Platform: The Missing Layer in Your AI Stack It lays out why modern AI requires graph, vector, document, and transactional context in one place — and why the “polyglot database era” is falling apart under real-world scale and complexity. It also highlights a clear market shift: ✅ Enterprises like NVIDIA, Siemens, Synopsys ✅ AI-native builders like Articul8 …are modernizing the data layer before scaling AI — not scrambling to fix it once models are already in production. If you’re a CTO, CPO, or engineering leader responsible for delivering AI that’s accurate, explainable, and production-grade, this report is a must-read. 🔗 okt.to/WR2umA Comment if you want a quick summary — happy to DM it.

AI doesn’t fail because of the model. It fails because of the data underneath it. Most enterprises are learning this the hard way. The moment AI moves from a prototype to a real product, everything that was “good enough” in the data layer starts to break: • Too many systems to integrate • Too many pipelines to maintain • Too many versions of the truth • Too much latency between where data lives and where AI needs it So instead of asking “How do we add more AI?” Leaders are starting to ask: 🟢 “How do we fix the foundation AI depends on?” Forrester just published a new report that hits this head-on: Multimodel Data Platform: The Missing Layer in Your AI Stack. It explains why AI now requires graph vector document transactional context in one place — and why the “polyglot database era” is collapsing under its own weight. It also breaks down the shift we’re seeing across the market: ✅ Enterprises like NVIDIA, Siemens, Synopsys ✅ AI-native builders like Articul8 …are modernizing their data layer before scaling AI — not after it’s already in production. If you’re a CTO, CPO, or engineering leader responsible for delivering AI that’s accurate, explainable, and production-grade, this report is worth your time. 🔗 okt.to/XH9qkG Comment if you want the summary version and I’ll DM it. Huge thanks to the authors of this Forrester report — Indranil Bandyopadhyay Oliwia Berdak Noel Y. Aaron Katz, Charlie Dai Nicola (Ostermann) Shorten Francis Harris — for the thoughtful research and clarity in framing this shift.

🚀 Arango Is Growing — And We’re Hiring AI ❤️ Context. But today’s fragmented data infrastructure loses it. That’s why so many organizations are stuck in the AI Failure Zone — where powerful models operate without business understanding. At Arango, we’re changing this with a Contextual AI Data Infrastructure powered by a unified System of Context. We capture relationships, semantics, lineage, provenance, and operational signals — with governance, security, and compliance built in. This gives enterprises the foundation to run AI that is accurate, explainable, scalable, and economically efficient. To support this momentum, we’re expanding our GTM and technical organizations and looking for talented people who want to help shape the future of enterprise AI. We’re hiring across our GTM organization: Marketing • Sales • Partnerships • Federal GTM And across the company in: Engineering • Professional Services • Sales Engineering • EMEA Sales • Internships Whether you’re passionate about building AI-powered products, driving world-class GTM programs, or helping customers succeed, there’s a place for you here. 🔎 Explore all open roles: okt.to/B8HCal If you know someone who would be a great fit, please share or tag them below. Arango | AI Data Platform Help us build Contextual AI — AI that understands your business. #AIcareers #ContextualAI #TechJobs #MarketingJobs #SalesJobs #EngineeringJobs #Partnerships #FederalGTM #ArangoAI #Hiring

Leaders don’t need more video — they need faster insight. 🎥 See how #NVIDIA uses Arango to power Video Search & Summarization (VSS) with contextual AI — connecting frames, metadata & events so teams can find what matters instantly. 👉 Watch the demo okt.to/F5WTzH #ContextualAI #GraphRAG #ArangoDB #VideoSearch #AIDataPlatform

We’re thrilled to unveil the new Arango brand and the Arango AI Data Platform, the trusted data foundation for Contextual AI 🚀 🌐 arango.ai 📰 Launch announcement → okt.to/PRt28l #Arango #AIDataPlatform #ContextualAI #RebrandLaunch

Your system works — but can it scale, stay secure, and keep up? ArangoDB Enterprise Edition is built for that moment. 🔗 okt.to/Oq1BVC #Scalability #DataSecurity #ArangoDB #GenAI

Arango is bringing The GenAI Edge You’ve Been Missing to #NVIDIAGTC DC! 📍 Booth I-2 | Oct 27–29, 2025 ✅ GPU graph analytics ✅ NVIDIA VSS Arango ✅ GraphRAG Q&A ✅ Enterprise IAM For more details, click here - okt.to/8SLZfO #GenAI #AIatScale #ArangoDB

🚀 VSS 2.4 is here! GraphRAG ArangoDB brings powerful, explainable video analytics to long-form, multi-stream footage. 🔎 Hybrid search 🧠 Knowledge graphs 🎥 Vision audio fusion 👉 Read more: okt.to/o1pgUG #NVIDIA #GraphRAG #VideoAI #GenerativeAI

🚀 VSS 2.4 is here! GraphRAG ArangoDB brings powerful, explainable video analytics to long-form, multi-stream footage. 🔎 Hybrid search 🧠 Knowledge graphs 🎥 Vision audio fusion 👉 Read more: okt.to/YGBOMt #NVIDIA #GraphRAG #VideoAI #GenerativeAI

🔗 Arango is solving the GenAI data infrastructure nightmare holding back ROI & business value. ✨ Thrilled to welcome Jakki Geiger as our new CMO. 🎊 ⚡ Together, we’re moving into the next phase of trusted, scalable & cost-efficient GenAI apps. #Leadership #CMO #GenAI #AI

🚨95% of GenAI projects fail.  Why? Data silos, fragile integrations & infra that can’t scale. 👉Here’s how @arangodb is fixing that with ONE unified GenAI data platform - okt.to/t70MKv #GenAI #EnterpriseAI #LLM