elastic.io Integration Platform vs. IBM InfoSphere Information Server vs. Informatica Cloud Data Integration

elastic.io Integration Platform is well suited for developers already leveraging the Elastic Search cluster, who want to automate and simplify add-on integrations. If developers are streaming data between plugins and want to have event-based batching, this is a great product to do that, albeit a paid solution, it can enhance your deployment and automation of ES plugins.

Incentivized

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.

We use it a lot for importing data. We transform the incoming data to match the formatting of our CRM. We also match on existing records to avoid creating duplicates. Informatica handles all of this exceptionally well. Our users are system administrators. The tool is not well-suited for users who do not have a technical background

Incentivized

• Unlike other integration platforms, using and implementing elastic.io is fairly simple and intuitive
• You do not need to worry about scaling since it is taken care by the platform itself
• Developing new connectors isn't complicated

Incentivized

• 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

Incentivized

• Data synchronisation
• Data replication
• Data integration

• Paid solutions are always challenging when the tool itself is free
• Available training for this paid solution

Incentivized

• 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.

Incentivized

• There is a moderately steep learning curve
• Has some idiosyncrasies
• Can be finicky with date formats

Incentivized

• Scale of implementation
• IBM techsupport

Incentivized

There is a learning curve with Informatica. It is not always intuitive to use. It is best suited for technical users such as system administrators

Incentivized

Incentivized

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

It is really easy to comply and understand its features.

• If your datasets are diverse and could use automation, this will bring good ROI for time spent

Incentivized

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

• Really greatest than any other conventional application.