IBM DataStage vs. Razorleaf CLOVER

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
Razorleaf CLOVER
Score 0.0 out of 10
N/A
Razorleaf's CLOVER is an integration and communication platform designed to solve the most complex product operational challenges. CLOVER is a family of products that enable the exchange of product information across organizations, partners, and suppliers. CLOVER helps organizations to reduce development costs, streamline processes, and accelerate innovation – ultimately extending the value of an organization’s PLM investment.N/A
Pricing
IBM DataStageRazorleaf CLOVER
Editions & Modules
No answers on this topic
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Offerings
Pricing Offerings
IBM DataStageRazorleaf CLOVER
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
IBM DataStageRazorleaf CLOVER
Features
IBM DataStageRazorleaf CLOVER
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
IBM DataStage
9.5
Ratings
12% above category average
Razorleaf CLOVER
-
Ratings
Connect to traditional data sources10.00 Ratings00 Ratings
Connecto to Big Data and NoSQL9.00 Ratings00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
IBM DataStage
8.0
Ratings
2% below category average
Razorleaf CLOVER
-
Ratings
Simple transformations8.00 Ratings00 Ratings
Complex transformations8.00 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
IBM DataStage
6.3
Ratings
23% below category average
Razorleaf CLOVER
-
Ratings
Data model creation5.00 Ratings00 Ratings
Metadata management5.00 Ratings00 Ratings
Business rules and workflow6.00 Ratings00 Ratings
Collaboration6.00 Ratings00 Ratings
Testing and debugging6.00 Ratings00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
IBM DataStage
6.0
Ratings
30% below category average
Razorleaf CLOVER
-
Ratings
Integration with data quality tools6.00 Ratings00 Ratings
Integration with MDM tools6.00 Ratings00 Ratings
User Ratings
IBM DataStageRazorleaf CLOVER
Likelihood to Recommend
8.0
(0 ratings)
-
(0 ratings)
Usability
8.0
(0 ratings)
-
(0 ratings)
Performance
9.0
(0 ratings)
-
(0 ratings)
Support Rating
9.6
(0 ratings)
-
(0 ratings)
User Testimonials
IBM DataStageRazorleaf CLOVER
Likelihood to Recommend
Excellent Cloud data mapping tool and easy creating multiple project data analytics in real-time and the report distribution are excellent via this IBM product. Easy tool to provide data visualization and the integration is effective and helpful to migrating huge amounts of data across other platforms and different websites insights gathering.
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Pros
  • Very reliable in handling data extraction, data transformation and loading
  • Flexibility in connecting to different type of databases, relational or non-relational
  • Great features such as parallel processing, hash handling, etc.
  • You can also take advantage of its FTP functions, and scheduling features if you need to.
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Cons
  • You must understand and know the algorithms, since the wrong use of them generates more time in processing.
  • Metadata. You need to develop with connectors, and taking all the Metadata from the menu, all the data that you complete manually, you can't track it.
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Usability
Because it is a flexible tool that can manage many flows and create a strong solution with a interesting use of variables. Easy to scale up as you can copy jobs arleady build and modify them. SQL queries allow to be fast in development and have the pushdown feature, but you loose a little of user friendly look. Metadata management is not strong as a visual feature, but can be determine by job codes.
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Performance
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
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
No, it wasn’t my decision to use such an ETL product. I’m just the administrator at this point. I’ve heard there are other products there that are even on cloud support. That is much easier to use, more agile, and user-friendly. That doesn’t have that barrier from user to administrator to the developer standpoint.
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Return on Investment
  • Not directly related to ROI or cost figures. Only comment here is that IBM tools tend to be more costly than average ETL tools, but it depends on if the company is an IBM shop.
  • One positive aspect is the company has had not a need to switch ETL tool for years.
  • Upgrading to newer versions of the tool brings flexibility in the tool and up-to-date features in relation to other applications.
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ScreenShots