10 packages tagged with “columnar”
This is the Parquet connector for ETLBox. It lets you handle Parquet files, offering an efficient way to process columnar data. ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/
This is the Snowflake connector for ETLBox. It supports cloud-based data warehousing and analytics, letting you process large datasets in Snowflake. ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/
Bidirectional interoperability layer between DuckDB and .NET.
Seamless integration between Entity Framework Core and DuckDB, providing significant performance improvements for analytical queries with a simple, developer-friendly API.
High-performance columnar DataFrame library for .NET
Report Manager Solution for Molecule Software Applications
Parquet source and sink nodes for NPipeline using Parquet.Net - read and write Parquet files with configurable options
🌰 Data Lake persistence for AcornDB - Apache Parquet and TieredTrunk with full IRoot pipeline support. Enables compression, encryption, policy enforcement on columnar storage with hot/cold tiering capabilities.
A high-performance C# implementation of the FSST (Fast Static Symbol Table) compression algorithm for .NET 10. FSST is specifically designed for string/text compression with random access support, making it ideal for database systems, columnar data formats (Parquet, ORC), JSON/XML processing, log aggregation, and streaming scenarios. Features zero-allocation compression/decompression, SIMD optimizations, and a familiar stream-based API.