Registration for Subsurface 2025 is officially open! 🎉 Ready to dive deep into the future of data and AI? Join us for an event you won’t want to miss. 👉 Secure your spot now: https://lnkd.in/e8edfbUA Let’s make waves together! 🌊
Dremio
Software Development
Santa Clara, California 73,904 followers
The Intelligent Lakehouse Platform - Reinventing the data warehouse for the AI Era
About us
Dremio is the intelligent lakehouse platform trusted by thousands of global enterprises, including Shell, TD Bank, Michelin, and Farmer’s Insurance. AI and analytics initiatives face significant delays due to the time-intensive process of dataset creation. Data engineering teams are overburdened, disconnected data sources require complex ETL processes, and prolonged iteration cycles with business stakeholders slow progress. Dremio eliminates these bottlenecks by unifying data sources without ETL, simplifying the creation of high-quality, governed datasets, and delivering autonomous performance optimization to accelerate AI. From the original co-creators of Apache Polaris and Apache Arrow, Dremio is the only lakehouse built natively on Apache Iceberg, Polaris, and Arrow - providing flexibility, preventing lock-in, and enabling community-driven innovation.
- Website
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https://www.dremio.com
External link for Dremio
- Industry
- Software Development
- Company size
- 201-500 employees
- Headquarters
- Santa Clara, California
- Type
- Privately Held
- Founded
- 2015
- Specialties
- Data Analytics, Big Data, Self-Service Data, SQL, NoSQL, BI, Data Science, Machine Learning, Tensor Flow, Python, Pandas, R, Apache Arrow, Hadoop, MongoDB, Elasticsearch, S3, MapR, Hadoop, Jupyter, Java, open source, Data Lake, Cloud, Business Analytics, Apache Iceberg, AI, Data Lakehouse, and Data Engineering
Locations
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Primary
3970 Freedom Circle
Santa Clara, California 95054, US
Employees at Dremio
Updates
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In a recent CDInsights - Cloud Data Insights News & Analysis article, our Head of Developer Relations, Alex Merced, shares why there’s no one-size-fits-all approach to implementing a semantic layer. The best path forward depends on your datastack, team structure, use cases, and existing tools. As Alex puts it: “What matters most is taking that first step toward making your data definitions explicit, discoverable, and trustworthy — because that’s what truly accelerates AI readiness.” Read the full piece here: https://lnkd.in/ev-Z5A5i
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Agentic AI—autonomous systems that think, decide, and act—requires seamless access to real-time data. Enter Apache Iceberg, designed for large-scale analytics, and Dremio, the key to unlocking its full potential. 🔍 Key Insights: - Seamless Integration: Dremio bridges Iceberg and Agentic AI, enabling high-performance data access. - Autonomous Optimization: Dremio automatically optimizes Iceberg tables, boosting query performance. - Unified Data Access: Dremio provides a unified view of data, empowering AI agents to make informed decisions. Ready to harness the full potential of Agentic AI? Explore how Dremio and Apache Iceberg can accelerate your AI journey. 🔗 Read the full blog here: https://lnkd.in/gdGRdyDA
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Save the Date 🗓️ Join us for the Subsurface World Tour 2025, where data pioneers, industry leaders, and cutting-edge innovations come together to showcase the future of the open data lakehouse ecosystem. With real-world use cases, technical depth, and practical insights, you won't want to miss it! https://lnkd.in/ev2k9dWW
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📸✨ July was full of fun and innovation with #TeamGnarly! From exciting meetings to our unforgettable Love Island/Lakehouse Island dress-up days, it was a month to remember. Swipe through to see all the highlights! Gemma Brown Mona Herbach Hannah Schloesser Hugo Oudet Kimberly Incorvia Calvin Wong Claire Vaughan Samantha C. Liam Ford Ben Turvey Ethan Bryant Brian Doherty Danny Miller Taylor Engstrom William Martin, PhD Alex Merced Elise W. Kelly Carlsted, CMP Read Maloney JB Onofré Wolfgang Disselhoff
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In this TechIntelPro interview, Dremio CTO Rahim Bhojani shares how open standards like Apache Iceberg, Polaris, and Arrow power smarter, faster analytics—without the heavy ETL. He also dives into MCP (Model Context Protocol) and how it enables agentic AI for real-world enterprise use cases. 📖 Read the full Q&A: https://lnkd.in/dX7FMWam
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Check out Dremio in this Startup Spotlight from Cisco Investments!
🔎 Explore the July Startup Snapshot to learn how Cisco Investments' portfolio companies are advancing the technologies shaping tomorrow’s enterprise. ▪️Aisera ▪️Aliro ▪️Aviz Networks ▪️Dremio ▪️Expel ▪️Fiddler AI ▪️Harness ▪️Island ▪️Mistral AI ▪️Mitiga ▪️Scale AI ▪️Securiti ▪️SGNL ▪️Theta Lake ▪️TrustCloud 🔗 https://hubs.ly/Q03zm4qQ0 #CiscoInvests
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🚀 New on the Blog: 5 Ways Dremio Makes Apache Iceberg Lakehouses Easy 🧊 From instant Parquet-to-Iceberg table conversion to Git-style catalog versioning, Dremio simplifies every step of your Iceberg journey. Learn how: ✅ Dataset promotion ✅ Accelerated queries with Reflections ✅ Full Iceberg table support ✅ Git-style branching with Nessie ✅ Built-in OPTIMIZE, VACUUM & scheduling Whether you're managing petabytes or just getting started, Dremio makes Iceberg lakehouses fast, flexible, and intuitive. 🔗 Read the full blog: https://lnkd.in/gmFj-gu9
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🔍 Who Gains Most from MCP? Learn Why Analytics and AI Teams Should Care. Are you still relying on custom APIs or UI workarounds to expose data to LLM-powered agents? Discover how Dremio’s Model Context Protocol (MCP) server empowers seamless, secure access for data platforms—making SQL-based data available to AI agents via tools like RunSqlQuery, GetSchemaOfTable, and RunSemanticSearch Whether you're a data analyst, developer, or security/IT professional, MCP enables: 🔧 Natural language access to enterprise data ⚙️ Interoperability across agents and analytics platforms 🔐 Enterprise-grade security with zero custom integration Best of all? It’s open-standard and compatible with LLMs from Claude to GPT—all built on Dremio’s powerful autonomous lakehouse engine. 🔗 https://lnkd.in/ekqD6W6x
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☀️ Just for fun: where’s your data stack headed this summer? At Dremio, we’re partial to the open lakehouse—no lock-in, no pipelines, just Autonomous Performance and AI-ready data on Iceberg 🧊 Vote below and let us know where your dream stack would chill ⬇️
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