IBM Data Replication vs. IBM InfoSphere Information Server

IBM InfoSphere Data Replication replication allows work on the daily operation and analyzes the replicated data in real-time with no downgrade of performance. This happens thanks to the incremental data load using the log files instead of querying the database for any changes. It serves as an online backup of the database uploading the data to the cloud in real-time.

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Information Server is extremely useful to replace manual developments that require a lot of coding effort. It significantly increases the productivity of the initial development and the future maintenance of the processes since it has a visual development environment with self-documentation.

• Performance to detect changes using Incremental Data Delivery with logs.
• Update data in the cloud in real time.
• Saves data in clusters using Apache Hadoop

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• IIS best for ETL ,not ELT , and many and diffrent source systems.
• It also can process big data , unstuctured data
• It is not only DWH , you can use infosphere for analys and see the bigger architecture of your OLTP systems

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Independently Invited by TrustRadius

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• Better documentation and examples of Console and API.
• Integration with machine learning to analyze the data.
• Examples of how to replicate data from multiple sources and databases to one data lake.

Incentivized

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

• I would be nice to have a new web development environment for DataStage.
• Connectivity Packs such as Pack for SAP Application are a little pricey.
• It is confusing for new developers the possibility of developing jobs using different execution engines such as Parallel or Server.

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• Scale of implementation
• IBM techsupport

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Independently Invited by TrustRadius

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DataStage is more robust and stable than ODI The ability to perform complex transformations or implement business rules is much more developed in DS

• Analize the daily data in real time using data lakes and Machine Learning.
• Performance of the replication without affecting the relational database of the applications.
• Use of Apache Hadoop for data clustering improving performance.

Incentivized

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

• Productivity of the development of integration processes.
• Better documentation and governance.
• Reduce training costs of various technologies.