26 packages returned for Tags:"parquet"

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

ParquetSharp.DataFrame is a .NET library for reading and writing Apache Parquet files into/from .NET DataFrames, using ParquetSharp.

Yaml extension to Cinchoo ETL framework

Provides reading and writing Parquet file

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.

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... More information

Reader/Writer for GeoParquet files

Enables you to use standard drivers to connect to Parquet objects. Specify your Parquet file location to access the data.

Pansynchro connector to read from Parquet files.

Contains an implementation of the IReadable and IWritable interfaces to access parquet files. Depends on the assemblies TeleScope.Persistence.Abstractions and Parquet.Net.

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)

A native .NET library for Delta Lake

SQLite extension to Cinchoo ETL framework

SqlServer extension to Cinchoo ETL framework

An efficient row-oriented dataframe builder and Parquet writer for .NET

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... More information