Starburst vs The Modern Data Company

<p>Starburst is an Open Lakehouse Data Platform designed to unify and govern data access across cloud, on-prem, and hybrid environments. It empowers data teams to discover, trust, and act on data by providing fast query performance and built-in governance, supporting AI, applications, and analytics seamlessly. You can accelerate your AI initiatives and analytics workloads with broad compatibility across data sources and cloud platforms, all without moving your data. The platform includes fully managed cloud options with Starburst Galaxy and self-managed enterprise deployments, offering flexibility to suit your architecture needs.</p> <p>With Starburst, you get conversational queries, AI search capabilities, and context-rich responses that enhance workflow efficiency and decision-making. Its support for open lakehouse technologies like Apache Iceberg, Delta Lake, and Apache Hudi allows you to seamlessly handle streaming and real-time data at scale. The product offers increased query speed, cost savings, and extensive data connectivity while maintaining rigorous security, governance, and lineage. Starburst fits organizations looking to modernize their data infrastructure and accelerate AI deployment while optimizing cost and performance.</p>

<p>The Modern Data Company provides DataOS, a powerful platform designed to upgrade your data stack by delivering AI-ready data products that come with built-in context, governance, and activation features. It helps your teams launch new data use cases faster by creating reusable data products that adapt to changing needs without rework or delays. You gain control with embedded policies, ownership, and traceability, ensuring your data environment stays compliant and manageable without slowing down your workflow.</p> <p>With DataOS, you eliminate hidden costs caused by data complexity by improving delivery speed, adding usage observability, and making ROI traceable to maximize the value of every data investment. This platform seamlessly integrates into your existing infrastructure without requiring a full rip and replace approach. It is recognized by industry experts and included in Gartner’s Magic Quadrant for Data Integration, making it trusted by thousands of data professionals aiming for efficient and governed AI-driven data operations.</p>