elastic.io Integration Platform vs. Hydrograph vs. IBM InfoSphere Information Server

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

hydrograph is very usefull when we need to analyze big data. in our scenario it helped a lot with rdms databases

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.

• 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

• Coupling between complex model and MapReduce framework without reducer procedure was simplified.
• The ability to reduce execution time and handle partial failure
• The framework adapts to higherned complex model

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

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

Incentivized

• Microsoft azure is recently joined in 2020 that can be improved.

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

• Scale of implementation
• IBM techsupport

Incentivized

Incentivized

Snap logic fits good for small/medium whereas hydrograph suits even for Enterprise grade.

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

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

Incentivized

• Their is no tangible ROI for us Management of bid data is easy.

Incentivized

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