Analytic Solver vs. IBM InfoSphere Information Server

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Analytic Solver
Score 7.0 out of 10
N/A
Frontline Systems Analytic Solver is an Excel add-on for performing data mining, and predictive analytics from within Microsoft Excel.N/A
IBM InfoSphere Information Server
Score 8.0 out of 10
N/A
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.N/A
Pricing
Analytic SolverIBM InfoSphere Information Server
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Analytic SolverIBM InfoSphere Information Server
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Analytic SolverIBM InfoSphere Information Server
Features
Analytic SolverIBM InfoSphere Information Server
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Analytic Solver
-
Ratings
IBM InfoSphere Information Server
8.7
4 Ratings
6% above category average
Connect to traditional data sources00 Ratings9.94 Ratings
Connecto to Big Data and NoSQL00 Ratings7.54 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Analytic Solver
-
Ratings
IBM InfoSphere Information Server
9.6
4 Ratings
17% above category average
Simple transformations00 Ratings10.04 Ratings
Complex transformations00 Ratings9.24 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Analytic Solver
-
Ratings
IBM InfoSphere Information Server
8.0
4 Ratings
2% above category average
Data model creation00 Ratings8.72 Ratings
Metadata management00 Ratings7.74 Ratings
Business rules and workflow00 Ratings8.44 Ratings
Collaboration00 Ratings8.04 Ratings
Testing and debugging00 Ratings7.14 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Analytic Solver
-
Ratings
IBM InfoSphere Information Server
9.7
4 Ratings
20% above category average
Integration with data quality tools00 Ratings10.04 Ratings
Integration with MDM tools00 Ratings9.53 Ratings
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User Ratings
Analytic SolverIBM InfoSphere Information Server
Likelihood to Recommend
9.0
(2 ratings)
8.9
(5 ratings)
Likelihood to Renew
-
(0 ratings)
8.0
(1 ratings)
User Testimonials
Analytic SolverIBM InfoSphere Information Server
Likelihood to Recommend
Frontline Systems
Based on my limited experience and use, and therefore limited global knowledge of the software, I would recommend it especially if the data that will be used as inputs to the model has previously worked on a spreadsheet such as Excel. I would also recommend it to analyze problems of medium and small size. Given the experience I have had when I have used it with large problems, there have been noticeable decreases in the speed of response (which are not associated with the size of the system of equations involved in the calculation). Excellent for processing linear programming models.
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IBM
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.
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Pros
Frontline Systems
  • Easy to use and learn.
  • Strong optimization platform for business and supply chain problems which can be modeled in Excel
  • It can handle multiple objectives and more than 8000 decision variables in a problem.
  • Lots of tutorial and examples are available to solve the problem
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IBM
  • 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
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Cons
Frontline Systems
  • On the few occasions when I have used it to deal with problems of optimization of relatively large parameters (with a large number of restrictions and decision variables), the program has been slower, not substantially but slower, than programs such as the WinQsb, even when the latter runs on 32-bit machines and not 64. That has caught my attention, even though it is not a real problem for the uses I give to the program.
  • Given my partial function as a university professor, it has been much more effective and practical to use other software, due to the limited options that the educational license associated with the software has.
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IBM
  • 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.
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Likelihood to Renew
Frontline Systems
No answers on this topic
IBM
  • Scale of implementation
  • IBM techsupport
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Alternatives Considered
Frontline Systems
We believe in building the models in Excel. A limitation with Excel is that Excel Solver can not take more than 200 decision variables with multiple constraints. It is cheap in terms of license and maintenance fees against other softwares which are available in the market.
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IBM
DataStage is more robust and stable than ODI The ability to perform complex transformations or implement business rules is much more developed in DS
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Return on Investment
Frontline Systems
  • - It has allowed finding ways to optimize (minimizing costs or times) the field processes involved in various projects.
  • It has even allowed, in specific cases where it was used for that purpose, to optimize the allocation of resources (people) to work in different jobs that present weekly variations of the activity that these people must perform.
  • It has allowed the sensitivity analysis of projects to changes in the decision variables related to them, which, and in very dynamic and changing environments, resulted in substantial decreases in money losses.
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IBM
  • Productivity of the development of integration processes.
  • Better documentation and governance.
  • Reduce training costs of various technologies.
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