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DataStax
IT System Data Services
Santa Clara, California 91,016 followers
DataStax helps developers and companies build a bold new world through GenAI.
About us
Providing an AI Platform as a Service that makes it possible for developers to build GenAI applications that match the scale of their ambition.
- Website
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https://dtsx.io/3zfCdCN
External link for DataStax
- Industry
- IT System Data Services
- Company size
- 501-1,000 employees
- Headquarters
- Santa Clara, California
- Type
- Privately Held
- Founded
- 2010
- Specialties
- NoSQL, Cassandra, Apache Cassandra, database, multi-cloud, cloud, modern applications, distributed database, real-time, developers, Cloud Native, Kubernetes, real time data, open stack, AI, serverless, multi-cloud, machine learning, realtimeAI, Vector Database, Vector Search, Generative AI, GenAI, RAG, serverless, and DBaaS
Locations
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Primary
2755 Augustine Dr
8th Floor
Santa Clara, California 95054, US
Employees at DataStax
Updates
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Prompting, context, agents, interfaces — the way humans and machines interact is being rewritten. Ed Anuff and Anant Jhingran talk with Kate Blair of IBM Research about what’s broken in today’s AI experiences, why collaboration is missing, and how the next generation of agentic interfaces could redefine the boundary between people and AI.
Human–AI Interaction: Where Do Humans End and Machines Begin?
www.linkedin.com
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Build AI Apps Faster with Langflow 🚀 AI is transforming everything: industries, projects, and our daily lives. The question is: how will you put it to work? Join us live as Kiyu Gabriel walks through how Langflow makes it easy to design, connect, and launch AI apps - no advanced coding required. You’ll see how to combine LLMs, RAG, APIs, and custom logic into real solutions that make an impact right away. What you’ll learn: 👉 How to rapidly prototype and iterate AI workflows 👉 Ways to integrate data, APIs, and custom logic into your apps 👉 Best practices for moving from proof of concept to production
Build AI-Powered Apps Faster with Langflow
www.linkedin.com
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🤔 Want to learn how to escape Materialized View hell? Materialized Views might’ve seemed like a shortcut, but for many Cassandra users, they’ve become a never-ending ops nightmare. If that sounds familiar, this session is for you! Join Aaron Ploetz as he breaks down: 👉 The real issues with Materialized Views in Apache Cassandra® 👉 How to remodel your tables to avoid them entirely 👉 Practical ways to safely remove existing MVs
How to Escape Materialized View Hell
www.linkedin.com
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DataStax reposted this
Shorthills AI teams up with #AWS & DataStax to revolutionize enterprise search with 70% faster results! 🔍 https://go.aws/41IWNdP Shorthills AI developed a domain-specific optimized chatbot with a RAG framework & knowledge graph to deliver AI-powered insights. This secure, scalable, & compliant solution powered by #AmazonBedrock & Astra DB reduces TCO by 50%. ⚡️ Transform your unstructured data into actionable insights today! 💡
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AI customer service doesn't have to suck. Check out the operational data layer that helps companies get AI-powered service right: https://dtsx.io/3UyfmNL
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MCP ➕ Langflow ➕ IBM tools Join Charna Parkey, Ph.D., to learn how to streamline agent development. We’ll show you how to build, test, and deploy MCP servers in Langflow, and integrate IBM’s AI tools—without heavy infrastructure. You'll take away: 👉 How to use Langflow to visually compose, test, and deploy MCP servers 👉 Ways to integrate IBM-provided AI tools 👉 How to secure your MCP flows using OAuth 2.0, API keys, etc. 👉 Why the open MCP stack is a game changer for developers
MCP for Developers: Visual AI with MCP, Langflow & IBM Tools
www.linkedin.com
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➡️ POC to working app in under two months ➡️ Reduced investor onboarding friction ➡️ Boost in analyst productivity Discover how Bay Point Advisors built an intelligent investor portal with DataStax and Microsoft Azure. https://dtsx.io/3UwGvRv 🗣️ Rick Atkinson, CTO, Bay Point Advisors
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DataStax reposted this
100k stars on GitHub (breath...)! 🌟 Langflow began as a small experiment and has grown into something far bigger than we ever imagined — thanks to the thousands who’ve written code, fixed bugs, shared feedback, and trusted it for their projects. Hitting 100k stars is a proud milestone, but our mission to democratize AI goes on — and we still treat every day like it’s day one. Thank you for being part of this journey.
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