Singdata Lakehouse
Your Ultimate Data x AI Infrastructure Unify, Optimize, and Innovate with a unified data platform to unlock the full potential of your data
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Overview
Start with our 14-day free trial including basic features and community support. For new users, our $1 first-month tier unlocks full features plus $20 in usage credits. After initial prepaid credits, seamlessly transition to Pay-As-You-Go billing based on actual consumption. Detailed pricing and enterprise options available at https://www.singdata.com/documents/pricing Singdata Lakehouse is a next-generation data platform designed for the AI era. Built on a unified lakehouse architecture, it offers an open, fully managed foundation for all your data storage, analytics, and AI workloads. With Singdata's incremental compute engine and native support for data lake standards, your organization can achieve real-time insights and agile machine learning capabilities faster than ever. By eliminating traditional data silos and integrating batch, streaming, and interactive workloads, Singdata Lakehouse simplifies your modern data stack. Its open architecture ensures maximum flexibility and compatibility, while unified governance and security controls empower you to innovate confidently across all data and AI use cases. Start prepaid, scale with Pay-As-You-Go. Our hybrid model offers low-barrier entry through prepaid tiers that automatically transition to usage-based billing. Pay only for what you consume with no minimums and cancel anytime. Contact service@singdata.com for enterprise contracts and volume discounts.
Highlights
Simple: Singdata delivers a fully managed lakehouse that integrates data storage, analytics, and AI workflows on a unified platform powered by Amazon S3 and industry-leading open formats.
Open & Flexible: Built on open-source technologies and open standards, Singdata empowers you to avoid vendor lock-in and seamlessly integrate with your existing data ecosystem.
AI-Ready: Singdata provides an AI-optimized data foundation with real-time incremental compute capabilities, enabling faster model iteration, smarter analytics, and scalable experimentation.