AnalyticsCreator vs. IBM DataStage

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AnalyticsCreator
Score 0.0 out of 10
N/A
AnalyticsCreator automates design, development, deployment, and change processes, to enable teams to manage data for analytical needs. AnalyticsCreator's prototyping empowers business to showcase results faster and generate code for data management through a connected analytical frontend, such as Power BI. Whether on Azure SQL DB, Azure data warehouse, or on-premises MS SQL, AnalyticsCreator provides a tool for streamlined data management.N/A
IBM DataStage
Score 7.6 out of 10
N/A
IBM® DataStage® is a data integration tool that helps users to design, develop and run jobs that move and transform data. At its core, the DataStage tool supports extract, transform and load (ETL) and extract, load and transform (ELT) patterns. A basic version of the software is available for on-premises deployment, and the cloud-based DataStage for IBM Cloud Pak® for Data offers automated integration capabilities in a hybrid or multicloud environment.N/A
Pricing
AnalyticsCreatorIBM DataStage
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
AnalyticsCreatorIBM DataStage
Free Trial
YesYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
AnalyticsCreatorIBM DataStage
Features
AnalyticsCreatorIBM DataStage
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
AnalyticsCreator
-
Ratings
IBM DataStage
9.5
10 Ratings
13% above category average
Connect to traditional data sources00 Ratings10.010 Ratings
Connecto to Big Data and NoSQL00 Ratings9.09 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
AnalyticsCreator
-
Ratings
IBM DataStage
8.0
10 Ratings
2% below category average
Simple transformations00 Ratings8.010 Ratings
Complex transformations00 Ratings8.010 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
AnalyticsCreator
-
Ratings
IBM DataStage
6.3
10 Ratings
23% below category average
Data model creation00 Ratings5.07 Ratings
Metadata management00 Ratings5.09 Ratings
Business rules and workflow00 Ratings6.09 Ratings
Collaboration00 Ratings6.010 Ratings
Testing and debugging00 Ratings6.010 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
AnalyticsCreator
-
Ratings
IBM DataStage
6.0
9 Ratings
30% below category average
Integration with data quality tools00 Ratings6.09 Ratings
Integration with MDM tools00 Ratings6.09 Ratings
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AnalyticsCreatorIBM DataStage
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IBM InfoSphere Information Server
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Score 8.0 out of 10
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Score 8.0 out of 10
Enterprises
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Score 8.0 out of 10
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Score 8.0 out of 10
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User Ratings
AnalyticsCreatorIBM DataStage
Likelihood to Recommend
-
(0 ratings)
8.0
(10 ratings)
Usability
-
(0 ratings)
8.0
(3 ratings)
Performance
-
(0 ratings)
9.0
(1 ratings)
Support Rating
-
(0 ratings)
9.6
(3 ratings)
User Testimonials
AnalyticsCreatorIBM DataStage
Likelihood to Recommend
AnalyticsCreator Solutions GmbH
No answers on this topic
IBM
DataStage is somewhat outdated for an ETL. I guess that's what makes it a bit lagged behind its competitors. It can be used for data processing, sure, but its performance seems to be lagging behind or quite slow given the server it is running from. I won’t depend on this application if it's handling a lot of mission-critical banking and business data.
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Pros
AnalyticsCreator Solutions GmbH
No answers on this topic
IBM
  • Connect to multiple types of data-sources including Oracle, Teradata, Snowflake, SQl Server.
  • Powerful tool to load large volumes of data.
  • Transformation stages allow us to reduce the amount of code needed to create ETL scripts.
  • Allow us to synchronize and refresh data as much as needed.
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Cons
AnalyticsCreator Solutions GmbH
No answers on this topic
IBM
  • Technical support is a key area IBM should improve for this product. Sometimes our case is assigned to a support engineer and he has no idea of the product or services.
  • Provide custom reports for datastage jobs and performance such as job history reports, warning messages or error messages.
  • Make it fully compatible with Oracle and users can direct use of Oracle ODBC drivers instead of Data Direct driver. Same for SQL server.
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Usability
AnalyticsCreator Solutions GmbH
No answers on this topic
IBM
Because it is robust, and it is being continuously improved. DS is one of the most used and recognized tools in the market. Large companies have implemented it in the first instance to develop their DW, but finding the advantages it has, they could use it for other types of projects such as migrations, application feeding, etc.
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Performance
AnalyticsCreator Solutions GmbH
No answers on this topic
IBM
It could load thousands of records in seconds. But in the Parallel version, you need to understand how to particionate the data. If you use the algorithms erroneously, or the functionalities that it gives for the parsing of data, the performance can fall drastically, even with few records. It is necessary to have people with experience to be able to determine which algorithm to use and understand why.
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Support Rating
AnalyticsCreator Solutions GmbH
No answers on this topic
IBM
IBM offers different levels of support but in my experience being and IBM shop helps to get direct support from more knowledgeable technicians from IBM. Not sure on the cost of having this kind of support, but I know there's also general support and community blogs and websites on the Internet make it easy to troubleshoot issues whenever there's need for that.
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Alternatives Considered
AnalyticsCreator Solutions GmbH
No answers on this topic
IBM
With effective capabilities and easy to manipulate the features and easy to produce accurate data analytics and the Cloud services Automation, this IBM platform is more reliable and easy to document management. The features on this platform are equipped with excellent big data management and easy to provide accurate data analytics.
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Return on Investment
AnalyticsCreator Solutions GmbH
No answers on this topic
IBM
  • It’s hard to say at this point, it delivers, but not quite as I expected. It takes a lot of resources to manage and sort this out (manpower, financial).
  • Definitely, I don’t have the exact numbers, but given the data it processes, it is A LOT. So props to the developer of this application.
  • Again, based on my experience, I’d choose other ETL apps if there is one that's more user-friendly.
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ScreenShots

AnalyticsCreator Screenshots

Screenshot of AnalyticsCreator data sourcesScreenshot of AnalyticsCreator data environmentScreenshot of AnalyticsCreator DACPAC & SSIS packages.Screenshot of AnalyticsCreator data lineageScreenshot of AnalyticsCreator DWH wizardScreenshot of AnalyticsCreator source data