IBM InfoSphere Information Server is a data integration platform used to understand, cleanse, monitor and transform data. The offerings provide massively parallel processing (MPP) capabilities.
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Qlik Replicate
Score 8.4 out of 10
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Qlik Replicate enables organizations to accelerate data real-time replication, ingestion and streaming via change data capture, across a wide range of heterogeneous databases, data warehouses and data lake platforms.
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Pricing
IBM InfoSphere Information Server
Qlik Replicate
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM InfoSphere Information Server
Qlik Replicate
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Required
Additional Details
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More Pricing Information
Community Pulse
IBM InfoSphere Information Server
Qlik Replicate
Features
IBM InfoSphere Information Server
Qlik Replicate
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
IBM InfoSphere Information Server
10.0
Ratings
18% above category average
Qlik Replicate
-
Ratings
Connect to traditional data sources
10.00 Ratings
00 Ratings
Connecto to Big Data and NoSQL
10.00 Ratings
00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
IBM InfoSphere Information Server
10.0
Ratings
20% above category average
Qlik Replicate
-
Ratings
Simple transformations
10.00 Ratings
00 Ratings
Complex transformations
10.00 Ratings
00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
IBM InfoSphere Information Server
9.7
Ratings
19% above category average
Qlik Replicate
-
Ratings
Data model creation
10.00 Ratings
00 Ratings
Metadata management
10.00 Ratings
00 Ratings
Business rules and workflow
10.00 Ratings
00 Ratings
Collaboration
10.00 Ratings
00 Ratings
Testing and debugging
9.00 Ratings
00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
You can use infosphere: -If you have multiple targets and source systems and they are different than each other. -If your infostructure is so big and unplaned well so you can't find what you want to see. -If your databases not so strong to process your data
Qlik Replicate works very well with relational data platforms, both on premise and in the cloud, for example Oracle, SQL Server, PostgreSQL, MySQL and others, it also works very well with DB2. If the data source is MongoDB, it is more complicated and currently there is no possibility of sending data to MongoDB.
Qlik Replicate brought a great experience with respect to the ease of implementation and great UI. We had a software that was a blackbox for the team and was very hard to maintain. Qlik Replicate implementation helped us avoid dependency on one resource.
Global transformation and in-built functions are what I like in our project.
You can customize the conversion/transformation using a JSON file generated by Qlik Replicate, and it is very convenient.
The base Replicate web GUI is lacking. If you have dozens or more tasks, it's hard to get a sense of how they're performing. Enterprise Manager solves all of these problems but is a separate install.
The support portal is extremely difficult to navigate. It's hard to track down exactly what you're looking for.
It would be helpful to have better documentation and example queries for the tables in the Enterprise Manager analytics database.
Destination databases that don't support common DDL commands behave unpredictably. And the replication of schema changes isn't consistent.
The availability of the replicated data in disparate environments has is now crucial. Replacing a product like Qlik Replicate would require significant time, investments, and work. In addition, Qlik Replicate is reasonably reliable with few failures.
We now have greater business flexibility and scalability, and our big data integration projects have a quick rate of growth, which has been profitable for us. Independent of the sources involved, maintaining data consistency between sources is easy. One of my favorite features is the way it lets owners of the source system start and stop processes from updating their system windows.
The issue I've had is that Qlik does an awful job of keeping their customers informed when new versions of the software are available. We found that we were using a version that was no longer supported and could never get help. When it came time to get us upgraded so that we were on a current version, no one knew how to help get us to where we needed to be. We had to purchased professional services time and even then I was basically on my own to get everything built out and set up. Qlik needs to be more proactive with communicating about new releases and how to get your version upgraded in the most secure, safe way possible.
Follow the directions from the Qlik documentation. They are pretty straight forward and easy enough to follow. If you follow these, then you are not likely to have issues on implementation.
I particularly believe that Information Server, especially DataStage, is superior in many aspects to the Oracle Data Integrator tool. Several market analysts such as Gartner and / or Forrester better position DataStage on the Oracle solution.
Great tool for data replication solution for Oracle/SQLServers/etc. Real easy to get it set up and start realizing business value. Getting the PoC accomplished in a short window. Product costing and easy to start small and scale as needed. It helped cover most of our ask compared to other solutions.
Information Server can positively impact the costs of companies by increasing the productivity of development and therefore reduce their time and costs. It is estimated that DataStage can increase a developer's productivity by 40% on average.
Prior to using Qlik Replicate, we used an ETL solution to copy data from the Oracle ERP system to the Microsoft SQL Server BI system at a 15-minute interval. It was very tedious to maintain. Qlik Replicate is much easier to use and we replicate data near real-time now.