It helps me manage data more efficiently and has improved my proficiency with data, which supports me a lot in my work. Review collected by and hosted on G2.com.

I don’t have anything to dislike about this Review collected by and hosted on G2.com.

It simplifies complex ETL tasks with a visual interface, automates workflows well, and integrates smoothly with other SAS tools for consistent data management. Review collected by and hosted on G2.com.

The interface can feel outdated, performance lags with large data volumes, and debugging errors isn’t always straightforward or user-friendly. Review collected by and hosted on G2.com.

The underlying SAS language continues to be the strongest selling point for SAS Data Management. It's ability to transform and manipulate data still presents a compelling offering. Additionally legacy SAS code is more or less guaranteed to run without too much manipulation. Review collected by and hosted on G2.com.

1. Lack of enterprise scheduling capabilities. I do not understand how SAS Data Management addresses the operation issues of deployment such as scheduling. Is SAS providing homegrown capabilities or will scheduling be more of an integration play, say with other technologies like Apache Airflow.

2. How can flow be easily promoted from environment to environment.

3. How can existing SAS 9 flows be easily realized in SAS Data Management. Review collected by and hosted on G2.com.

The thing I like about this tool is its simplicity. Being user friendly, it requires little to no knowledge of high-end coding, making it accessible for everyone. It efficiently manages large volumes of data with high accuracy. The third thing I really liked about it is the efficient customer support system, who always assist in case of any issues. Review collected by and hosted on G2.com.

The biggest issue this software faces is its high cost demand on resources. The price of the software is high which makes it inaccessible for all users. Further, it slows down the system while handling large and complex datasets. Review collected by and hosted on G2.com.

The best thing about SAS Data Loader Hadoop is that it is user-friendly. One does not need to have much knowledge about the tech world to operate it. Furthermore, it has many additional data security features which I like. Review collected by and hosted on G2.com.

It is a costly software and not everyone can easily afford it. Another thing that I do not like is that working on large datasets tends to slow down the speed of my computer, which can be very frustrating at times. Review collected by and hosted on G2.com.

One of the most liked thing about SAS Data loader is that one doesn't needs immense knowldedge about the coding language. The interface is easy to access and manage data transformation. Furthermore it identifies the errors in my report to make it more accurate. Review collected by and hosted on G2.com.

It is expensive. It also uses a lot of system resources which causes my laptop to hang sometimes. Review collected by and hosted on G2.com.

As in SAS DATA preparation there are three components: SAS Data Explorer, SAS Studio, SAS Lineage. My favorite is SAS Studio; it's mostly useful for cleaning and transforming data, which can be done without complex coding. It has different transformations that are very useful for analyzing and preparing data, joining the data without using SQL or any SAS code. SAS Explorer helps to import local data or connect directly to databases like PgAdmin or other data sources. One can also import local files and access social media data like Google, YouTube, etc. Review collected by and hosted on G2.com.

To access the data from CAS, one needs to provide the CAS session to assign all the CAS libraries before accessing. However, this is an easy task; just if someone is not aware, they need to know this beforehand, or else it is easy to use by someone with less knowledge. Review collected by and hosted on G2.com.

SAS Data preparation using SAS EG and SAS DI Studio is very easy and effective. The ETL data can be loaded on Database and SAN for data scientists to consume. Review collected by and hosted on G2.com.

Data extraction is not straight forward process and is tedious task compared to other programming languages like python Review collected by and hosted on G2.com.

Good data quality and integration tool. Easy to maintain. Review collected by and hosted on G2.com.

It's a bit hard to learn when compared with other tools. Review collected by and hosted on G2.com.

SAS Data Quality provides robust tools for cleaning and standardizing data, ensuring accuracy and consistency. Most significantly, the SAS Data Flux Studio in version 9.4 and Data Preparation in SAS Viya offer versatile options for managing the quality of unified data, which is crucial in this modern AI world where decisions are based on data point interpretation. The platform often provides an intuitive and user-friendly interface, making it accessible for data professionals with varying levels of technical expertise. It can be developed in such a way that implementation is easy and can be integrated into daily tasks of cleaning incoming data. SAS has a good technical support team. Review collected by and hosted on G2.com.

SAS software, including SAS Data Quality, can be relatively expensive, and this may be a consideration for smaller businesses or organizations with budget constraints. When a new user is looking to learn the tool, there is not a wide variety of support community to learn from. Users might face challenges in integrating SAS Data Quality with other systems. Running complex data quality processes on large datasets may require substantial computing resources, potentially posing challenges for organizations with limited hardware capabilities. Review collected by and hosted on G2.com.