Found 57 packages
Fully managed Apache Parquet implementation.
ParquetSharp is a .NET library for reading and writing Parquet files. It's implemented in C# as a PInvoke wrapper around apache-parquet-cpp to provide high performance and compatibility.
Parquet extension to Cinchoo ETL framework
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/
ParquetSharp.DataFrame is a .NET library for reading and writing Apache Parquet files into/from .NET DataFrames, using ParquetSharp.
Fully managed Apache Parquet implementation.
Enables you to use standard drivers to connect to Parquet objects. Specify your Parquet file location to access the data.
Provides reading and writing Parquet file
ML.NET components for Apache Parquet support.
Pansynchro connector to read from Parquet files.
Provides Parquet support to the DataPipe platform. Reference this package if you need to read or write Parquet file from a data pipe script
Enables you to use standard drivers to connect to Parquet objects. Specify your Parquet file location to access the data.
We present an open-source library, that will help transform AVRO, with nested data, to multiple PARQUET files where each of the nested data elements will be represented as an extension table (separate file)
Contains an implementation of the IReadable and IWritable interfaces to access parquet files. Depends on the assemblies TeleScope.Persistence.Abstractions and Parquet.Net.
Rust/C FFI wrapper for the Arrow-Parquet rust library
A tiny library to simplify working with Parquet Files with Azure Blob Storage using Parquet .Net (parquet-dotnet). Providing easy helpers to load data into class models from Parquet files. This is useful for E-L-T processes whereby you need to load the data into Memory, Sql Server (e.g. Azure SQL), etc. or any other location where there is no built-in support for easily working with Parquet file data.
ParquetSharp.Dataset is a .NET library for reading datasets consisting of multiple Parquet files.
A .NET standard library for GeoParquet format support (read/write geospatial vector data in Parquet format)
Fully managed Apache Parquet implementation.
A high-performance ADO.NET provider for Parquet files enabling seamless integration with .NET applications. Implements standard DbConnection/DbCommand/DbDataReader patterns for working with Parquet data through familiar ADO.NET abstractions. Features include SQL query support with filtering and projection, parallel reading of row groups, virtual column support, batch processing capabilities, and full async/await compatibility. Ideal for data analytics, ETL operations, and big data processing within the .NET ecosystem.