IBM DataStage vs. Salesforce Data Cloud

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
Salesforce Data Cloud
Score 8.1 out of 10
N/A
Salesforce Data Cloud (formerly Salesforce Genie) is a solution to put data to work for customers. It is deeply embedded in the Einstein 1 Platform, which means any external data lake or warehouse can now drive actions and workflows inside of the Salesforce CRM.
$108,000
per year per org
Pricing
IBM DataStageSalesforce Data Cloud
Editions & Modules
No answers on this topic
Data Cloud for Marketing
$108000
per year per org
Offerings
Pricing Offerings
IBM DataStageSalesforce Data Cloud
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 DataStageSalesforce Data Cloud
Features
IBM DataStageSalesforce Data Cloud
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
IBM DataStage
9.5
Ratings
12% above category average
Salesforce Data Cloud
5.5
Ratings
42% below category average
Connect to traditional data sources10.00 Ratings6.00 Ratings
Connecto to Big Data and NoSQL9.00 Ratings5.00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
IBM DataStage
8.0
Ratings
2% below category average
Salesforce Data Cloud
6.0
Ratings
31% below category average
Simple transformations8.00 Ratings6.00 Ratings
Complex transformations8.00 Ratings6.00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
IBM DataStage
6.3
Ratings
23% below category average
Salesforce Data Cloud
7.2
Ratings
10% below category average
Data model creation5.00 Ratings7.00 Ratings
Metadata management5.00 Ratings9.00 Ratings
Business rules and workflow6.00 Ratings6.50 Ratings
Collaboration6.00 Ratings6.50 Ratings
Testing and debugging6.00 Ratings7.00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
IBM DataStage
6.0
Ratings
30% below category average
Salesforce Data Cloud
6.5
Ratings
22% below category average
Integration with data quality tools6.00 Ratings7.00 Ratings
Integration with MDM tools6.00 Ratings6.00 Ratings
Best Alternatives
IBM DataStageSalesforce Data Cloud
Small Businesses
Skyvia
Skyvia
Score 9.9 out of 10
Skyvia
Skyvia
Score 9.9 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
IBM DataStageSalesforce Data Cloud
Likelihood to Recommend
8.0
(0 ratings)
7.1
(0 ratings)
Usability
8.0
(0 ratings)
8.0
(0 ratings)
Performance
9.0
(0 ratings)
-
(0 ratings)
Support Rating
9.6
(0 ratings)
-
(0 ratings)
User Testimonials
IBM DataStageSalesforce Data Cloud
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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Being a mid sized organization, the costing is achievable, but can’t say for those of startups. So I believe not suitable for small scale organizations and very well suited for large data analytics companies to gain market. Also, the maintenance is slightly difficulty and support for the product is comparatively slower than other similar products.
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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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  • Analysing customer trends
  • Detailing information to gain market
  • Reporting and analytics
  • Improved security
  • Providing data analytical tools and less scope of error
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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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  • Very expensive
  • Does not integrate with HubSpot (another CRM). We have tried many times and it does not seem to connect
  • Sometimes the website will load very slow where other websites are much quicker
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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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it is easy to use after you get the hang of it. If you have an internal team of developers you will be able to maximise the usage a lot better. I would recommend it to people who need to organise data in a more unified way but I can’t speak to it from an infrastructure perspective as I’m not from the infrastructure team
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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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No answers on this topic
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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No answers on this topic
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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I like Salesforce Data Cloud because like mentioned before, it is easy to use, easy to generate reports, create workflows, keep track of customer data, sales data, house data, etc. You can also import excel sheets with customer data as well and it will create the fields for you which is nice
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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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  • Salesforce Data Cloud has a positive impact on me as a realtor because it is easy to generate reports on customer data and see what is needed to be bumped to the next level. We have to earn a certain commission by the end of the year and it makes it easy to see how close you are
  • It has a positive impact on keeping track of customers because it is nice to have it all in one place which is a nice time saver
  • I like that you can even see customer info from other agents making it nice to compare and try and pass others
  • Makes the customers journey smooth sailing because everything is in one place
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ScreenShots