Hydrograph vs. IBM InfoSphere Information Server vs. Tanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)

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.

If you need to execute ml algorithms, learning techniques, or mathematical calculations on large amounts of heterogeneous data, VMware Tanzu Data Services will be ideal. It will be really simple to set up, particularly if you choose AWS as your integrated cloud provider. However, if you're working with lower data amounts, such as gigabytes, it can be superfluous.

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

• Apache MADlib provides popular machine learning functionality.
• Allows you to query terabytes of data databases.
• Interoperability for AWS S3 is effortless.

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

• Running on Azure is a little more difficult.
• Synchronization with Kafka may be a little easier.

Incentivized

• Scale of implementation
• IBM techsupport

Incentivized

They were very helpful. We needed support for initial implementation.

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

• 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.

• There was a noticeable reduction in system reliability.
• Saw a reduction in unsuccessful analytics operations.

Incentivized