Real-time Streaming

Sialdang represents a comprehensive solution for Small and Medium Business (SMBs) looking to harness the power of the Modern Data Stack (MDS) in conjunction with the robustness of public cloud platforms. By integrating industry-standard dbt models for data transformation within a modern data lakehouse architecture, it ensures high-quality data processing with features like data quality checks, lineage tracking, and automatic documentation.  The use of debezium for stream ingestion further enhances its efficiency.

 The system's reliance on Apache Iceberg on Amazon S3 for data storage capitalizes  on its proven durability, scalability, and reliability, offering cost-effective solutions for data replication and lifecycle management. This ensures that data is not only secure but also globally available and easily restorable. DuckDB's role in providing the performance and functionality of a data warehouse enables Sialdang to handle numerous concurrent queries, thanks to its loadable extension that implements support for the Apache Iceberg format.

Completing the data management cycle, Sialdang employs Superset for data visualization, transforming complex datasets into actionable insights. Its enterprise-grade RBAC and advanced embedding capabilities allow companies to access a potent analytics platform at minimal cost. These suite of tools positions Sialdang as a formidable ally for SMBs aiming to leverage data-driven strategies for growth and competitiveness in the market.