parquet_fdw VS postgres_vectorization_test

Compare parquet_fdw vs postgres_vectorization_test and see what are their differences.

parquet_fdw

Parquet foreign data wrapper for PostgreSQL (by adjust)

postgres_vectorization_test

Vectorized executor to speed up PostgreSQL (by citusdata)
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parquet_fdw postgres_vectorization_test
2 2
316 329
7.0% 0.0%
2.7 10.0
7 days ago about 9 years ago
C++ C
PostgreSQL License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

parquet_fdw

Posts with mentions or reviews of parquet_fdw. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-03.

postgres_vectorization_test

Posts with mentions or reviews of postgres_vectorization_test. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-03.

What are some alternatives?

When comparing parquet_fdw and postgres_vectorization_test you can also consider the following projects:

odbc2parquet - A command line tool to query an ODBC data source and write the result into a parquet file.

geoparquet - Specification for storing geospatial vector data (point, line, polygon) in Parquet

duckdb_fdw - DuckDB Foreign Data Wrapper for PostgreSQL

cstore_fdw - Columnar storage extension for Postgres built as a foreign data wrapper. Check out https://github.com/citusdata/citus for a modernized columnar storage implementation built as a table access method.

delta - An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs