IBM DataStage vs. IBM Netezza Performance Server

DataStage is somewhat outdated for an ETL. I guess that's what makes it a bit lagged behind its competitors. It can be used for data processing, sure, but its performance seems to be lagging behind or quite slow given the server it is running from. I won’t depend on this application if it's handling a lot of mission-critical banking and business data.

We can query the data source and treat multiple databases
as one with IBM Netezza Performance Server.



While delivering fast and reliable analytical performance, the IBM Netezza Performance Server requires minimal configuration and ongoing
management.



To drive organizational performance, Netezza Performance
Server automatically simplifies data and AI to centralize all analytics
activities on the device, exactly where the data resides.



For data processing and application dashboards, IBM Netezza
Performance Server is quite beneficial.





IBM Netezza Performance Server simplifies event setup
by notifying you when a hardware component fails, allowing you to quickly
replace it.

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• Connect to multiple types of data-sources including Oracle, Teradata, Snowflake, SQl Server.
• Powerful tool to load large volumes of data.
• Transformation stages allow us to reduce the amount of code needed to create ETL scripts.
• Allow us to synchronize and refresh data as much as needed.

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• IBM Netezza Performance Server enables capabilities to integrate with leading ETL solutions.
• Data can be exported from the IBM Netezza Performance Server to a variety of formats, including Excel.
• We can prioritize specific users and queries using IBM Netezza Performance Server.

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• Technical support is a key area IBM should improve for this product. Sometimes our case is assigned to a support engineer and he has no idea of the product or services.
• Provide custom reports for datastage jobs and performance such as job history reports, warning messages or error messages.
• Make it fully compatible with Oracle and users can direct use of Oracle ODBC drivers instead of Data Direct driver. Same for SQL server.

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• More tech support may make it easier as it is only limited to be done via company representatives
• Overhead cost for replacements and services looks like it is high compared to others
• Integration with other cloud based application will be great

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Because it is robust, and it is being continuously improved. DS is one of the most used and recognized tools in the market. Large companies have implemented it in the first instance to develop their DW, but finding the advantages it has, they could use it for other types of projects such as migrations, application feeding, etc.

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It could load thousands of records in seconds. But in the Parallel version, you need to understand how to particionate the data. If you use the algorithms erroneously, or the functionalities that it gives for the parsing of data, the performance can fall drastically, even with few records. It is necessary to have people with experience to be able to determine which algorithm to use and understand why.

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IBM offers different levels of support but in my experience being and IBM shop helps to get direct support from more knowledgeable technicians from IBM. Not sure on the cost of having this kind of support, but I know there's also general support and community blogs and websites on the Internet make it easy to troubleshoot issues whenever there's need for that.

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With effective capabilities and easy to manipulate the features and easy to produce accurate data analytics and the Cloud services Automation, this IBM platform is more reliable and easy to document management. The features on this platform are equipped with excellent big data management and easy to provide accurate data analytics.

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Netezza is sufficient against similar products. It comes down to personal preference, I'd love to have the data objects popping up as I type but some people may not like it.

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• It’s hard to say at this point, it delivers, but not quite as I expected. It takes a lot of resources to manage and sort this out (manpower, financial).
• Definitely, I don’t have the exact numbers, but given the data it processes, it is A LOT. So props to the developer of this application.
• Again, based on my experience, I’d choose other ETL apps if there is one that's more user-friendly.

• The appliance is all in one so we have all licenses and support contracts under one roof.
• The cost is expensive so ROI may take time to be realized.
• If done correctly, then Netezza provides the opportunity for huge ROI.

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