Actian DataConnect vs. IBM InfoSphere Information Server vs. Panoply

The choice to use Actian DataConnect really comes down to pricing and the type of integration project you are performing, specifically with the requirements, whether you want the integration to be on-premise or in the cloud, can you install agents on your servers etc. For integration tools it runs head to head with its competitors.

Incentivized

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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

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.

Panoply is well suited for companies with large amounts of data that do not want all users of the company to see or view. It is appropriate for companies that have to store data for several years in case clients need the data. It is not made to constantly be downloading or looking at the documents.

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

• Map multiple source and destination tables - what would be done in many steps in SSIS can be done in one or two "maps" in Data Integrator.
• Platform independent, cloud based, no client software.
• Conversion of data types, write flat files - this helps us with integrating systems.
• Fairly straightforward to use if the user has ETL experience.

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

• 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

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

• Ease of data integrations. Importing data into the data warehouse is a point-and-click effort.
• Automated data modeling. The data is modeled in a way that facilitates analysis without having to look into it myself.
• Query speed. Automated query optimization has really sped up our dashboards.

• Integration Manager needs better scheduling improvements. Like dependencies, and not running a process again if the prior run is still running.
• New connector development does not seem a priority.

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.

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

• The user interface could use some improvement for analytical tools. Apart from that, it’s great.

• Scale of implementation
• IBM techsupport

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

It’s a good choice for building a quick, multipurpose data stack for a variety of businesses needs.

Data Integrator was initially a part of a package deal for us with our new Student Information System. It was chosen prior to my arrival at the institution. Since I discovered we have SQL Server licenses, we have decided to use SSIS instead since I have a background in the MSBI stack and SSIS appears to be more straightforward (process flow philosophy vs "map" philosophy.)

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

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

Panoply has much more storage and better organization tools for searching. There are better folders and tools for keeping documents secure and stored for a long period of time. It is better to offload data in mass than singular or Zip drive documents like you would do in Google Drive.

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

• Our customer likes the consistent reliable integrations we have built so we [got] a definite return on investment.
• Problems are fairly easy to handle and rework.

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.

• Saved time on Redshift setup
• Saved support costs (monetary and temporal) by not having to set up on-premise
• Widens the BI tool use in organization; lowers the barrier to entry and makes organization more productive in analytical terms