OSD Milan
Milan empowers businesses to quickly derive valuable insights, reduce costs, embrace cutting-edge technology, and leverage the transformative power of generative AI.
Data Ingestion
Our platform effortlessly ingests data from a variety of sources, including flat files, traditional databases, cloud-based databases, and APIs, ensuring smooth and seamless intake.
Visualization
Leverage powerful visualization tools to create dynamic reports, dashboards, and interactive visuals, helping you make data-driven decisions with ease.
Scalability & Elasticity
Our platform is built to adapt to your workload, scaling up or down to meet your needs while maintaining optimal performance and efficient resource usage.
Data Transformation
We turn raw data into actionable insights through robust modeling, applying business logic, and designing schemas. This process ensures high-quality, consistent data ready for analysis.
Real-Time CDC Replication
For immediate updates and continuous processing, our platform supports Change Data Capture (CDC), enabling real-time replication and analysis of your data.
Gen AI & ML Integration
Harness the power of generative AI and machine learning with integrated tools for advanced analytics, predictive modeling, and deeper data insights.
Performance Optimization
We ensure fast, efficient query processing and system performance through built-in optimization features that keep your data operations running smoothly.
Workflow Orchestration
Easily manage and automate workflows with features like job dependencies, task scheduling, and comprehensive logging, ensuring seamless data processing.
Data Observability
Our platform provides complete data observability, offering tools to monitor quality, trace lineage, detect anomalies, and maintain governance across your data pipelines.
Medallion Architecture
The platform is supported by a resilient and scalable Medallion Architecture, providing a robust foundation for all your data operations.
Security
We prioritize your data's security with advanced access controls, data masking, and full compliance with industry regulations.
Detailed Comparison
- Developed by: Databricks
- Strong integration with: Databricks platform
- Focuses on: Simplifying data lake management with a familiar SQL interface
- Popular for: Large-scale data warehousing and analytics
- Developed by: Netflix.
- Community-driven: Developed and maintained by a large community
- Focuses on: Flexibility and extensibility
- Popular for: Data lakes that require customization and integration with various tools
- Developed by: Uber
- Designed for: Real-time applications and streaming data
- Focuses on: High performance and low latency
- Popular for: Real-time analytics and operational data stores
Common Features
Ensure data consistency and integrity.
Enable reverting to previous states of data for auditing or recovery.
Efficiently handle updates and deletions.
Allow changes to data structures without affecting existing data.
Support both batch and streaming data ingestion.
Provide features for managing data governance and security.
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