Easy to store own work and collaborate on datasets. It is a legacy system so it is used for many old processes such as finances. Compared to competitors it is very poor. Review collected by and hosted on G2.com.

Running code is extremely slow and time consuming. Completely awful during peak business hours. Since automatic scripts run at the beginning of the month you can barely use it. Difficult to SQL code and export data. Review collected by and hosted on G2.com.

SAS Enterprise Guide makes the interface intuitive to learn, and there are plentiful resources and support Review collected by and hosted on G2.com.

Very slow at computing complex queries or when working with large datasets compared to other programs Review collected by and hosted on G2.com.

SAS Enterprise Guide is the best tool available for SAS Programming (including Base SAS, Advance SAS, or Macros). SAS Enterprise Guide is a very intuitive and helpful tool as it provides a lot of hints and tips while programming, thus ensuring that the program being written is free of errors or typo mistakes. It also provides integration with multiple SAS applications like SAS Stored Procedure. It also provides a graphical way to create Stored Procedures, which can be easily used by programmers who are not very familiar with Stored Procedures. Review collected by and hosted on G2.com.

SAS Enterprise Guide is a Desktop based thick client. For this reason, SAS Studio is being preferred over SAS Enterprise guide by SAS Vendor, which is a web based interface. Though, good, but it is not a full fledged replacement of SAS Enterprise guide. Review collected by and hosted on G2.com.

SAS is fast, secure and flexible and extensible. It is a great tool for beginners and pros. Procedures can be written as simple as possible. It supports generic SQL language so if you have coded any other ML languages such as other flavors of SQL, learning curve for SAS should be low. Review collected by and hosted on G2.com.

The programing language and support is highly lacking. SAS being a very old platform, the documentation lacks examples. Every single feature requires intensive research from whitepaper. The community support is not as big as some other popular softwares in the data analytics realm. Review collected by and hosted on G2.com.

SAS Enterprise Guide is an excellent tool provided by SAS to work with SAS Engine and allows developers to create SAS programs, manage datasets, create processes-workflows, analyze datasets through point and click etc. The best advantage in using SAS E.G. as an IDE is because this tool can make your development time much more effective since it is very easy to access datasets, assign new libraries, check logs (for debugging), coding (provide hints), using user defined datasets and variables etc.

Exporting codes, saving projects, running pieces of codes, documenting codes, creating copies of codes are examples of tasks that can be done easily with SAS E.G. Review collected by and hosted on G2.com.

SAS Enterprise Guide requires reasonable computer resources (cpu, memory) so the users might need a good computer to use it properly. Most of times when you try to view large datasets through this tool it can get stuck so you should avoid it. Overall there isn't many disadvantages using this tool, however you should keep aware in some details regarding it's features to use wisely all the power of this. Review collected by and hosted on G2.com.

Extreme diversity and ability to connect to a very wide range of data platforms.

Still the powerfull SAS platform we are used to from base SAS.

code optimiser and formatter is very nice.

pre-made tasks like data exploration and the likes is relly awesome.

Can link directly to other SAS suites, like Enterprise Miner.

Drag and drop functionality is really powerful and easy - for example to import Excel files.

All your code files are stored in one project file. This does make version control somewhat difficult though.

True end-to-end solution. Review collected by and hosted on G2.com.

You cannot open multiple code or data table windows like one can in base SAS.

The automatic focus of your worksheet is rather annoying, how it keeps on flicking back to the top left hand corner.

Pity it does not automatically figure out and link dependencies and precedences.

No GIT intergration.

Does not fully support a scheduling tool - we had many issues with it. Review collected by and hosted on G2.com.

The best thing about SAS enterprise guide is the easiness of applying statistical tests and complex feature building for ML models to be used in SAS Eminer.

for example creating co efficient of variance & linear transformation features all in one loop on multiple columns. Review collected by and hosted on G2.com.

till my latest experience I've seen it difficult to integrate with big data Spark, the connectivity with Python opensource is complex.

Furthermore joining the big tables also takes more time and there is no performance management tool to see the performance of codes executed on SAS enterprise guide. Review collected by and hosted on G2.com.

I like how SAS can handle large data sets without crashing. I’m able to run my analysis on SAS when the data is too large for excel and it is user friendly compared to a lot of other programming tools. If there is an error in the code it is pretty easy to find out where it is with SAS. Review collected by and hosted on G2.com.

The run time can still be slow even though it can handle large amounts of data. Sometimes the PROC will take hours to just filter through data to spit out what I’m referencing it. I feel like for how expensive the product is, it should be a lot quicker. Review collected by and hosted on G2.com.

SAS EG allows easy querying of the datasets and transformation to your specifications Review collected by and hosted on G2.com.

EG although as a user friendly application, when using the advanced expressions during querying, you will need to correct any formula errors by yourself ( e.g. missing parenthesis etc) Review collected by and hosted on G2.com.

>Simplicity of writing down the codes

>Capable of handling the large data sets easily

>Wide compatibility of connection with multiple data sources

>GUI options giving a proper layout for designing whole process

>New features like calling stored procs or modelling techniques

>Importing any Excel file is very easy, able to get all data

> Since this is not an Open source, so we can get better enterprise support, which ensures the high security of SAS,so many banking or financial firms are relying on this software, only because of secure environment and support from the SAS Institute Review collected by and hosted on G2.com.

It still lacks the support for many Machine Learning Techniques, that are easily available in Python.

As compared to python, we can not design a whole application for like front end or GUI interface.

This is not an open source, so it bears a lot cost to get the license of this product. So many organizations are moving from other open source products like Python or R Review collected by and hosted on G2.com.