Oracle Enterprise Data Quality vs. SAS Data Management

When it comes to cleaning large data, for instance customer data, Oracle Enterprise Data Quality comes in handy and offers best features that makes it easy to clean data and visualize any flows

Incentivized

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.

Incentivized

• Ease of management within Oracle Data Integrator (ODI) and effectivity of EDQ Director
• Ease of installation with web based client.
• Data Quality issues solved quickly, easily and jobs are controlled within Oracle Data Integrator (ODI) seamlessly.
• Setup is straightforward. Java web application (OEDQ Director) helped us for not installing any client application.

Incentivized

• 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.

Incentivized

• Oracle Data Quality requires a mobile version, which would apprehend many users.
• Oracle Data Quality has an inflexible UI, which should be more enhanced.
• Oracle Data Quality fails to revise prices, which are candid solutions in controlling the number of subscribers.

Incentivized

• 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.

Incentivized

We are happy with the software and its functionality. As a SAS-shop, DataFlux is a logical choice for complex data integration.

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.

Incentivized

It worked as expected.

Incentivized

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.

Incentivized

I know of TDQ. We looked at the feature of TDQ and decided due to the license cost that we would use EDQ

Incentivized

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.

Incentivized

• OEDQ reduces a lot of the manual work to review bad addresses.
• OEDQ helps to validate similar records and make it easier to keep customer loyalty.

Incentivized

• 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.

Incentivized