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MR901/databrick_evaluation_advantages.csv

Created August 18, 2025 05:36
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databrick_evaluation_advantages.csv
SNo Advantages Why it matters
1 Unified Data & AI Platform Combines analytics, engineering, and ML into one consistent interface across multiple clouds.
2 Optimized Spark Runtime High-performance distributed compute engine with better throughput than open-source Spark.
3 Delta Lake & Time Travel Brings reliability, ACID compliance, and versioning to the data lake.
4 MLflow Native Integration Seamlessly track experiments, versions, and manage model registry.
5 Collaboration Features Built-in sharing and permissions help team collaboration.
6 Security & Governance RBAC, Unity Catalog, and audit logging enable enterprise-grade governance.
7 Multi-cloud & Interoperability Works across GCP, AWS, Azure with a consistent experience.
8 AutoML (Basic) Allows non-experts to get started quickly with modeling.
9 Scalability for Large Workloads Scales easily for petabyte-scale processing and large model training.
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