Apache Arrow Pros and Cons

A data model supporting complex types that handle both flat datatypes and JSON models.

It handles large data sets very efficiently.

Create an algorithm on multiple data sets simultaneously to do the analytics work.

Its the language-independent and work completely on data. Review collected by and hosted on G2.com.

It requires a high learning curve to work on the Apache Arrow.

Documentation can be much clearer. Review collected by and hosted on G2.com.

UI is very good as compared to other

performance is good if good hardware is provided Review collected by and hosted on G2.com.

hangs so much

some features are very complex to understand Review collected by and hosted on G2.com.

open source and in-memory data representation that enables analytical systems and data sources to exchange and process data in real-time, simplifying and accelerating data access, without having to copy all dat Review collected by and hosted on G2.com.

THE RESULT SET IN APACHE ARROW FORMAT IS NOT SUPPORTED FOR THE PLATFORM." ERROR OCCURS WHEN USING PYTHON CONNECTOR WITH SNOWFLAKE Review collected by and hosted on G2.com.

It is easy to install and there are lot of FAQs online with the resources available to study and understand the tech stack Review collected by and hosted on G2.com.

It does not have industry standardization which means, most companies use their own data analytic tools or tools from a Cloud Provider. Review collected by and hosted on G2.com.

I liked the variety of libraries for different languages Review collected by and hosted on G2.com.

I didn't have any dislikes, I haven't explored a lot Review collected by and hosted on G2.com.

Many good things like its memory layout for random access,its efficient and fast interchange between systems.

Overall a great experience using it. Review collected by and hosted on G2.com.

Nothing as such, its a helping tool to be used. Review collected by and hosted on G2.com.

It is independent of language and works on memory format either flat or hierarchical data. Designed in a such a way that it puts less overhead on hardware. Review collected by and hosted on G2.com.

It is not that easy to implement and needs pretty technical knowledge. Review collected by and hosted on G2.com.