Apache ORC Reviews & Product Details

It's an very simple and tiny tool with built in very efficient and powerfull indexing by this we can easily jump to the desired location in any columns and it have bloom filters and it's very usefull, it has maps, hive etc formats which it supports very efficiently and it has columnar storage for Hardoop workloads. Review collected by and hosted on G2.com.

It's stability needs improvement as it's not that much stable and its user interface is also not that much user friendly .At first even though you are a experienced professional you will get confused while using this tool and after sometime when you got adjusted to this tool means then it will be easy for you to use. Review collected by and hosted on G2.com.

It's faster response time, parallel processing of the row collections and storing data in columnar format is what works best for me Review collected by and hosted on G2.com.

In starting understanding its structure and getting a hang of it is bit difficult. Review collected by and hosted on G2.com.

Coming from a software development background, the application has a drone analytics features which is highly useful for clients abroad. Review collected by and hosted on G2.com.

The interface is a bit slow, but cleaning the cache will work. Review collected by and hosted on G2.com.

Apache ORC promises to deliver quite a few objectives and acheives them as well to a point. We used this with multiple tools and overall results were okay. It can be made better though. Review collected by and hosted on G2.com.

Overall usability needs to improve. I think the entire system needs to be rethought of when it comes to making this product better. Our business requirements were hardly fulfilled. Review collected by and hosted on G2.com.

It is few of the fastest columnar storage for Hadoop workloads. It is suitable for many ways of querying, the data is aggregated and can be read directly. It also has a faster response time Review collected by and hosted on G2.com.

It needs to expend to improve operations. It is less efficient with nested data. But overall it's a great software and provides a highly efficient way when it comes to data aggregation. Review collected by and hosted on G2.com.

Apache ORC promises to deliver quite few objectives and achieve them as well to a point. We used this with multiple tools and overall results were okay. Review collected by and hosted on G2.com.

Overall usability needs to improve. I guess the entire system needs to be rethought. Although our business requirements were fulfilled. Review collected by and hosted on G2.com.

incorporation of hadoop ecosystem and parquet file storage Review collected by and hosted on G2.com.

not giving storage mechanism and flexibility to choose among the options Review collected by and hosted on G2.com.

A parquet like application with the support of ACID that fascinated me the most. Review collected by and hosted on G2.com.

I am little not sure of the community support but though it is an Apache projec, expects a lot in future. Review collected by and hosted on G2.com.

Fast Response, Multi-Processing paralelly Review collected by and hosted on G2.com.

Low performance on huge data which makes it slow Review collected by and hosted on G2.com.

This program helps us store data analytics very easily. It's much easier for us to use than Microsoft Access as it is more user friendly. Review collected by and hosted on G2.com.

It is a little hard to understand at first, but once we got a hold on it, we found it easy. Review collected by and hosted on G2.com.