Software Alternatives & Reviews

Apache Arrow VS Vertica

Compare Apache Arrow VS Vertica and see what are their differences

Apache Arrow logo Apache Arrow

Apache Arrow is a cross-language development platform for in-memory data.

Vertica logo Vertica

Vertica is a grid-based, column-oriented database designed to manage large, fast-growing volumes of...
  • Apache Arrow Landing page
    Landing page //
    2021-10-03
  • Vertica Landing page
    Landing page //
    2023-09-19

Apache Arrow videos

Wes McKinney - Apache Arrow: Leveling Up the Data Science Stack

More videos:

  • Review - "Apache Arrow and the Future of Data Frames" with Wes McKinney
  • Review - Apache Arrow Flight: Accelerating Columnar Dataset Transport (Wes McKinney, Ursa Labs)

Vertica videos

A $100 mouse you hold like THIS?? - Logitech MX Vertical Review

More videos:

  • Review - Public preview of Tower C at M Vertica by Mah Sing
  • Demo - Vertica Demo: Introduction to Vertica In-database Machine Learning

Category Popularity

0-100% (relative to Apache Arrow and Vertica)
Databases
52 52%
48% 48
NoSQL Databases
56 56%
44% 44
Big Data
41 41%
59% 59
Relational Databases
46 46%
54% 54

User comments

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Social recommendations and mentions

Based on our record, Apache Arrow seems to be more popular. It has been mentiond 33 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Apache Arrow mentions (33)

  • How moving from Pandas to Polars made me write better code without writing better code
    In comes Polars: a brand new dataframe library, or how the author Ritchie Vink describes it... a query engine with a dataframe frontend. Polars is built on top of the Arrow memory format and is written in Rust, which is a modern performant and memory-safe systems programming language similar to C/C++. - Source: dev.to / 2 months ago
  • Time Series Analysis with Polars
    One is related to the heritage of being built around the NumPy library, which is great for processing numerical data, but becomes an issue as soon as the data is anything else. Pandas 2.0 has started to bring in Arrow, but it's not yet the standard (you have to opt-in and according to the developers it's going to stay that way for the foreseeable future). Also, pandas's Arrow-based features are not yet entirely on... - Source: dev.to / 5 months ago
  • TXR Lisp
    IMO a good first step would be to use the txr FFI to write a library for Apache arrow: https://arrow.apache.org/. - Source: Hacker News / 5 months ago
  • A Polars exploration into Kedro
    Polars is an open-source library for Python, Rust, and NodeJS that provides in-memory dataframes, out-of-core processing capabilities, and more. It is based on the Rust implementation of the Apache Arrow columnar data format (you can read more about Arrow on my earlier blog post “Demystifying Apache Arrow”), and it is optimised to be blazing fast. - Source: dev.to / 12 months ago
  • Demystifying Apache Arrow
    Apache Arrow (Arrow for short) is an open source project that defines itself as "a language-independent columnar memory format" (more on that later). It is part of the Apache Software Foundation, and as such is governed by a community of several stakeholders. It has implementations in several languages (C++ and also Rust, Julia, Go, and even JavaScript) and bindings for Python, R and others that wrap the C++... - Source: dev.to / 12 months ago
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Vertica mentions (0)

We have not tracked any mentions of Vertica yet. Tracking of Vertica recommendations started around Mar 2021.

What are some alternatives?

When comparing Apache Arrow and Vertica, you can also consider the following products

Delta Lake - Application and Data, Data Stores, and Big Data Tools

Amazon Redshift - Learn about Amazon Redshift cloud data warehouse.

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Microsoft SQL Server - Microsoft Azure is an open, flexible, enterprise-grade cloud computing platform. Move faster, do more, and save money with IaaS + PaaS. Try for FREE.

Apache Parquet - Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem.

LibreOffice - Base - Base, database, database frontend, LibreOffice, ODF, Open Standards, SQL, ODBC