IBM DataStage vs. Windsor.ai

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
Windsor.ai
Score 0.0 out of 10
Small Businesses (1-50 employees)
Windsor.ai is an ELT/connector platform purpose-built for marketing, commerce, and sales data. Windsor.ai can be used to move data from 320+ sources (ads, analytics, CRM, ecommerce) into data warehouse or BI tools without writing pipelines. What it does Prebuilt connectors for Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, GA4, YouTube, Search Console, Facebook/Instagram Organic, Salesforce, HubSpot, Shopify, WooCommerce, Amazon (Ads & Seller), Stripe, and…
$23
per month
Pricing
IBM DataStageWindsor.ai
Editions & Modules
No answers on this topic
Basic
$23
per month
Standard
$118
per month
Plus
$299
per month
Professional
$598
per month
Professional
Quote
per month
Offerings
Pricing Offerings
IBM DataStageWindsor.ai
Free Trial
YesYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsDiscount available for annual pricing.
More Pricing Information
Community Pulse
IBM DataStageWindsor.ai
Features
IBM DataStageWindsor.ai
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
IBM DataStage
8.2
11 Ratings
0% below category average
Windsor.ai
-
Ratings
Connect to traditional data sources8.411 Ratings00 Ratings
Connecto to Big Data and NoSQL8.010 Ratings00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
IBM DataStage
7.7
11 Ratings
5% below category average
Windsor.ai
-
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
6.9
11 Ratings
13% below category average
Windsor.ai
-
Ratings
Data model creation6.68 Ratings00 Ratings
Metadata management5.010 Ratings00 Ratings
Business rules and workflow7.010 Ratings00 Ratings
Collaboration7.011 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
Windsor.ai
-
Ratings
Integration with data quality tools5.510 Ratings00 Ratings
Integration with MDM tools5.510 Ratings00 Ratings
Best Alternatives
IBM DataStageWindsor.ai
Small Businesses
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Score 10.0 out of 10
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Score 10.0 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
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Score 8.0 out of 10
IBM InfoSphere Information Server
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Score 8.0 out of 10
Enterprises
IBM InfoSphere Information Server
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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
IBM DataStageWindsor.ai
Likelihood to Recommend
7.0
(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 DataStageWindsor.ai
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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Windsorai
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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Windsorai
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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Windsorai
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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Windsorai
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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Windsorai
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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Windsorai
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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Windsorai
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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Windsorai
No answers on this topic
ScreenShots

Windsor.ai Screenshots

Screenshot of some of the available 300 data sources and 20 destinationsScreenshot of the data connection workflowScreenshot of a custom reportScreenshot of the data exporterScreenshot of where data can be previewed before being sent to a destinationScreenshot of where data can be streamed to as many destinations as desired