IBM watsonx.data integration vs. SAS Data Management

IBM watsonx handles data unification and orchestration tasks well. This helps with ingestion and data transformation across various data sources in an intuitive package. Natigating the workflows along with tracing is also an advantage compared to different tools. This makes watsonx a great data pipeline for ingesting information for AI workflows. An area of improvement for Watsonx could be to enable better connectors to retrieve data from legacy databases.

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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.

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• Automated data pipeline orchestration.
• Data quality and governance.
• Scalable integration across hybrid environments.

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• 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.

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• User interface and learning curve.
• Limited flexibility in advanced transformations.

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• 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.

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

Overall this tool fits my requirement perfectly as per my need, all things at one place centered around the platform which saves time. Enterprise level features to handle big data. Documentations and support to support with the setup. best thing is its simple to use without any complexity that makes it easy to use tool for scalable operations

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Invited by TrustRadius (TR) on Vendor's Behalf

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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.

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It worked as expected.

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Independently Invited by TrustRadius

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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.

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IBM watsonx.data integration stands out in unifying structured and unstructured data with hybrid connectivity between legacy on-premise systems and cloud based systems. It supports governance-compliant retrieval so that the customer has control over what information can be used. With its ETL and control plane, the response and resolution time has increased significantly

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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.

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• Reduced manual data preparation time.
• Improved forecasting and decision-making.

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Invited by TrustRadius (TR) on Vendor's Behalf

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• 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.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info