IBM DataStage vs. ZappySys SSIS PowerPack

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM DataStage
Score 7.7 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
ZappySys SSIS PowerPack
Score 10.0 out of 10
N/A
SSIS PowerPack is a collection of 70+ drag and drop connectors/tasks for SSIS (i.e. Microsoft SQL Server Integration Services), designed to boost productivity using coding-free components to connect many cloud as well as on-premises data sources such as REST API Services, Azure Cloud, Amazon AWS Cloud, MongoDB, JSON, XML, CSV, Excel, Salesforce, Redshift, DynamoDB, Google API (i.e. Analytics, AdWords), SOAP/Web API, Facebook, Twitter, Zendesk, eBay & many more
$999
per server / annually
Pricing
IBM DataStageZappySys SSIS PowerPack
Editions & Modules
No answers on this topic
Standard Edition
$999.00
per server / annually
Professional Edition
$1299.00
per server / annually
Offerings
Pricing Offerings
IBM DataStageZappySys SSIS PowerPack
Free Trial
YesYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsWe offer Subscription and Perpetual License. Check our Pricing Page for detailed purchase options https://zappysys.com/purchase
More Pricing Information
Community Pulse
IBM DataStageZappySys SSIS PowerPack
Features
IBM DataStageZappySys SSIS PowerPack
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
IBM DataStage
8.2
11 Ratings
0% above category average
ZappySys SSIS PowerPack
-
Ratings
Connect to traditional data sources8.411 Ratings00 Ratings
Connecto to Big Data and NoSQL7.910 Ratings00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
IBM DataStage
7.7
11 Ratings
4% below category average
ZappySys SSIS PowerPack
-
Ratings
Simple transformations8.011 Ratings00 Ratings
Complex transformations7.511 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
IBM DataStage
7.0
11 Ratings
11% below category average
ZappySys SSIS PowerPack
-
Ratings
Data model creation6.68 Ratings00 Ratings
Metadata management5.010 Ratings00 Ratings
Business rules and workflow7.110 Ratings00 Ratings
Collaboration7.111 Ratings00 Ratings
Testing and debugging6.511 Ratings00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
IBM DataStage
5.5
10 Ratings
36% below category average
ZappySys SSIS PowerPack
-
Ratings
Integration with data quality tools5.510 Ratings00 Ratings
Integration with MDM tools5.510 Ratings00 Ratings
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IBM DataStageZappySys SSIS PowerPack
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Enterprises
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User Ratings
IBM DataStageZappySys SSIS PowerPack
Likelihood to Recommend
6.9
(11 ratings)
-
(0 ratings)
Usability
8.0
(4 ratings)
-
(0 ratings)
Performance
9.0
(1 ratings)
-
(0 ratings)
Support Rating
9.6
(3 ratings)
-
(0 ratings)
User Testimonials
IBM DataStageZappySys SSIS PowerPack
Likelihood to Recommend
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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ZappySys
No answers on this topic
Pros
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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ZappySys
No answers on this topic
Cons
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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ZappySys
No answers on this topic
Usability
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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ZappySys
No answers on this topic
Performance
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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ZappySys
No answers on this topic
Support Rating
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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ZappySys
No answers on this topic
Alternatives Considered
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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ZappySys
No answers on this topic
Return on Investment
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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ZappySys
No answers on this topic
ScreenShots

ZappySys SSIS PowerPack Screenshots

Screenshot of SSIS PowerPack - 70+ Easy to use, High Performance Drag and Drop componentsScreenshot of SSIS REST API Integration - Access data from any Web API or Url. Parse HTML, XML, JSON, CSV data. Support for OAuth 2.0Screenshot of SSIS JSON Integration - Read / write / parse Complex JSON Structure (From File, REST API , database column data)Screenshot of SSIS XML Integration - Read / Write from Complex XML Structure (Read  like a SQL Table from any XML / SOAP API or File. Filter, Pivot, Paginate and De-normalize your data in few clicks)Screenshot of Read / Write Salesforce Data in SSIS using drag and drop user interfaceScreenshot of Read / Write Microsoft Dynamics CRM Data in SSIS using drag and drop user interface (On-Premises and CRM 365 - Online )