Likelihood to Recommend Aginity is able to track productivity which has been helping us be able to determine areas that need improvement. we have found agility very user-friendly in terms of ease of scalability. moreover, its ability to reuse SQL has saved us a lot of time because we do not have to re-code SQL.
Read full review When data is in a system that needs a complex transformation to be usable for an average user. Such tasks as data residing in systems that have very different connection speeds. It can be integrated and used together after passing through the SAS Data Integration Studio removing timing issues from the users' worries. A part that is perhaps less appropriate is getting users who are not familiar with the source data to set up the load processes.
Read full review Pros Query auto-completion Database exploration including schemas, tables, columns, distribution keys, sort keys, etc. Common scenario query samples, and easy access to table DDL Table size operational report Free community edition Read full review SAS/Access is great for manipulating large and complex databases. SAS/Access makes it easy to format reports and graphics from your data. Data Management and data storage using the Hadoop environment in SAS/Access allows for rapid analysis and simple programming language for all your data needs. Read full review Cons For one, I don't like how the parenthesis are automatically created as a set. Often times I only need to type one part of the parenthesis, but it creates a set of ( and ), forcing me to delete them because I didn't need the other half at where my cursor was. Same goes with any other sort of characters, such as ' '. I understand that it's suppose to be smart, but more often than not, it's causing more inconvenience and wasting more time, than actually saving time simply because it types an extra ) or ' for me. The error message and the log. I would think there probably is a log somewhere, but the fact that I've been using Aginity for close to a year now, and I still haven't found something similar to a log, is saying something about this feature. A log is like a standard thing nowadays, for running codes, to check against what has happened with the code, and for debugging what you have done wrong within the code. It also contains error messages, and help you troubleshoot with a clearer picture. The error message display current is very small and hard to read, sometimes the error message itself is not as easy to understand either. I use SAS on a daily basis as well, I feel like SAS has done a way better job on this issue, than Aginity. Read full review Requires third-party drivers to connect to common data sources like SFDC, MS SQL, Postgres. Debugging errors from the logs is a complicated process. E-mail alert system is very primitive and needs customization to make it more modern, Cannot send SMS alerts for jobs. Read full review Likelihood to Renew We are happy with the software and its functionality. As a SAS-shop, DataFlux is a logical choice for complex data integration.
Read full review Usability The main negative point is the use of a non-standard language for customizations, as well as the poor integration with non-SAS systems. However, there is no doubt that it is a high-performance and powerful product capable of responding optimally to certain requirements.
Read full review Performance It worked as expected.
Read full review Support Rating With SAS, you pay a license fee annually to use this product. Support is incredible. You get what you pay for, whether it's SAS forums on the SAS support site, technical support tickets via email or phone calls, or example documentation. It's not open source. It's documented thoroughly, and it works.
Read full review Alternatives Considered Aginity offers the best tools for data research, which are easy to use and customize. Unlike Aginity,
AdvancedMiner wasn't only hard to deploy but also was highly-priced.
Read full review Because of ease of using SAS DI and data processing speed. There were lots of issues with AWS Redshift on cloud environment in terms of making connections with the data sources and while fetching the data we need to write complex queries.
Read full review Return on Investment We are able to create analytics without needing programming skills. Query auto-completion. Database exploration includes schemas, tables, columns, distribution keys, sort keys, and so forth. Attractive GUI and easy to navigate for easy data reporting. Read full review We have more users who can connect to the many different data sources. Our users do have existing SAS programming knowledge and that can carry over. Business functions are starting to rely on SAS Data Integration Studio work product shortly after introduction. Read full review ScreenShots