2 repository-uri
Engines that persist transformed data using the open-source Iceberg table format.
Distinct from Table Data Processing: Distinct from Table Data Processing: focuses on the specific Iceberg storage format rather than general table operations.
Explore 2 awesome GitHub repositories matching data & databases · Iceberg Table Materializers. Refine with filters or upvote what's useful.
dbt-core is a command-line framework for transforming data within a warehouse using modular SQL and version control. It functions as a data transformation engine that enables users to define data structures and business logic through declarative configuration files, which the system then compiles into executable code. By managing complex data dependencies through a directed acyclic graph, it ensures that transformation tasks execute in the correct order while maintaining a manifest-driven state to track lineage and execution history. The project distinguishes itself through an adapter-based d
Transforms and stores data using the open-source table format to ensure portability and interoperability across different data engines and infrastructure.
RisingWave is a cloud-native streaming database and real-time analytics engine that uses standard SQL to process continuous data streams. It functions as a streaming data lakehouse, combining the capabilities of a streaming SQL database with a platform that integrates streaming ingestion with open table formats. The system is distinguished by its use of the PostgreSQL wire protocol, allowing it to integrate with existing SQL tools and drivers. It employs a decoupled compute and storage architecture, persisting streaming state and materialized views in cloud object storage to enable independen
Persists transformed streaming data using the open-source Iceberg table format for cross-environment data sharing.