IBM DataStage vs. Microsoft BI (MSBI)

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
Microsoft BI (MSBI)
Score 8.6 out of 10
N/A
Microsoft BI is a business intelligence product used for data analysis and generating reports on server-based data. It features unlimited data analysis capacity with its reporting engine, SQL Server Reporting Services alongside ETL, master data management, and data cleansing.
$14
per month per user
Pricing
IBM DataStageMicrosoft BI (MSBI)
Editions & Modules
No answers on this topic
Power BI Pro
$14
per month per user
Power BI Premium
$24
per month per user
Offerings
Pricing Offerings
IBM DataStageMicrosoft BI (MSBI)
Free Trial
YesNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
IBM DataStageMicrosoft BI (MSBI)
Features
IBM DataStageMicrosoft BI (MSBI)
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
Microsoft BI (MSBI)
-
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
Microsoft BI (MSBI)
-
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
Microsoft BI (MSBI)
-
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
Microsoft BI (MSBI)
-
Ratings
Integration with data quality tools5.510 Ratings00 Ratings
Integration with MDM tools5.510 Ratings00 Ratings
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
IBM DataStage
-
Ratings
Microsoft BI (MSBI)
9.8
49 Ratings
18% above category average
Pixel Perfect reports00 Ratings9.942 Ratings
Customizable dashboards00 Ratings9.749 Ratings
Report Formatting Templates00 Ratings9.947 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
IBM DataStage
-
Ratings
Microsoft BI (MSBI)
9.8
49 Ratings
20% above category average
Drill-down analysis00 Ratings9.944 Ratings
Formatting capabilities00 Ratings9.749 Ratings
Integration with R or other statistical packages00 Ratings9.939 Ratings
Report sharing and collaboration00 Ratings9.949 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
IBM DataStage
-
Ratings
Microsoft BI (MSBI)
9.9
48 Ratings
19% above category average
Publish to Web00 Ratings9.944 Ratings
Publish to PDF00 Ratings9.944 Ratings
Report Versioning00 Ratings9.940 Ratings
Report Delivery Scheduling00 Ratings9.943 Ratings
Delivery to Remote Servers00 Ratings9.924 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
IBM DataStage
-
Ratings
Microsoft BI (MSBI)
9.9
48 Ratings
22% above category average
Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings9.947 Ratings
Location Analytics / Geographic Visualization00 Ratings9.944 Ratings
Predictive Analytics00 Ratings9.942 Ratings
Pattern Recognition and Data Mining00 Ratings9.92 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
IBM DataStage
-
Ratings
Microsoft BI (MSBI)
9.9
49 Ratings
15% above category average
Multi-User Support (named login)00 Ratings9.946 Ratings
Role-Based Security Model00 Ratings9.943 Ratings
Multiple Access Permission Levels (Create, Read, Delete)00 Ratings9.946 Ratings
Report-Level Access Control00 Ratings9.92 Ratings
Single Sign-On (SSO)00 Ratings9.928 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
IBM DataStage
-
Ratings
Microsoft BI (MSBI)
8.8
39 Ratings
13% above category average
Responsive Design for Web Access00 Ratings8.936 Ratings
Mobile Application00 Ratings8.027 Ratings
Dashboard / Report / Visualization Interactivity on Mobile00 Ratings10.036 Ratings
Application Program Interfaces (APIs) / Embedding
Comparison of Application Program Interfaces (APIs) / Embedding features of Product A and Product B
IBM DataStage
-
Ratings
Microsoft BI (MSBI)
9.8
21 Ratings
24% above category average
REST API00 Ratings9.919 Ratings
Javascript API00 Ratings9.919 Ratings
iFrames00 Ratings9.918 Ratings
Java API00 Ratings9.917 Ratings
Themeable User Interface (UI)00 Ratings9.918 Ratings
Customizable Platform (Open Source)00 Ratings9.717 Ratings
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User Ratings
IBM DataStageMicrosoft BI (MSBI)
Likelihood to Recommend
7.0
(11 ratings)
9.9
(73 ratings)
Likelihood to Renew
-
(0 ratings)
8.0
(25 ratings)
Usability
8.0
(4 ratings)
10.0
(15 ratings)
Availability
-
(0 ratings)
9.5
(2 ratings)
Performance
9.0
(1 ratings)
7.0
(2 ratings)
Support Rating
9.6
(3 ratings)
8.9
(15 ratings)
In-Person Training
-
(0 ratings)
6.9
(3 ratings)
Online Training
-
(0 ratings)
8.5
(2 ratings)
Implementation Rating
-
(0 ratings)
9.6
(7 ratings)
Configurability
-
(0 ratings)
10.0
(2 ratings)
User Testimonials
IBM DataStageMicrosoft BI (MSBI)
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.
Read full review
Microsoft
Microsoft BI is well suited for Stream analytics, easy data integration, report creation and UI/UX designs (limited but what all available are great ones) Microsoft BI may be less appropriate for handling huge number of datasets and difficult queries. It may also be difficult for a company with heavy data.
Read full review
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.
Read full review
Microsoft
  • Comparatively easy to use compared to other data analytics solutions, collaborating with other colleagues on data work is simple.
  • Using Visual Studio for database, ETL, reporting, and analytics development save time and money.
  • Transfer of data from one application to another via Excel and comparison of data attributes between applications
  • Dashboard functionality, as well as Python support, are available, allowing you to add additional charts and graphs.
Read full review
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.
Read full review
Microsoft
  • The race to perfect gathering of Non-Traditional datasets is on-going; with Microsoft arguably not the leader of the pack in this category.
  • Licensing options for PowerBI visualizations may be a factor. I.e. if you need to implement B2C PowerBI visualizations, the cost is considerably high especially for startups.
  • Some clients are still resistant putting their data on the cloud, which restricts lots of functionality to Power BI.
Read full review
Likelihood to Renew
IBM
No answers on this topic
Microsoft
Microsoft BI is fundamental to our suite of BI applications. That being said, Northcraft Analytics is focused on delighting our customers, so if the underlying factors of our decision change, we would choose to re-write our BI applications on a different stack. Luckily, mathematics are the fundamental IP of our technology... and is portable across all BI platforms for the foreseeable future.
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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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Microsoft
The Microsoft BI tools have great usability for both developers and end users alike. For developers familiar with Visual Studio, there is little learning curve. For those not, the single Visual Studio IDE means not having to learn separate tools for each component. For end-users, the web interface for SSRS is simple to navigate with intuitive controls. For ad-hoc analysis, Excel can connect directly to SSAS and provide a pivot table like experience which is familiar to many users. For database development, there is beginning to be some confusion, as there are now three tool choices (VS, SSMS, Azure Data Studio) for developers. I would like to see Azure Data Studio become the superset of SSMS and eventually supplant it.
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Reliability and Availability
IBM
No answers on this topic
Microsoft
The product has been reliable.
Read full review
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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Microsoft
SQL Server Reporting Services (SSRS) can drag at times. We created two report servers and placed them under an F5 load balancer. This configuration has worked well. We have seen sluggish performance at times due to the Windows Firewall.
Read full review
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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Microsoft
While support from Microsoft isn't necessarily always best of breed, you're also not paying the price for premium support that you would on other platforms. The strength of the stack is in the ecosystem that surrounds it. In contrast to other products, there are hundreds, even thousands of bloggers that post daily as well as vibrant user communities that surround the tool. I've had much better luck finding help with SQL Server related issues than I have with any other product, but that help doesn't always come directly from Microsoft.
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In-Person Training
IBM
No answers on this topic
Microsoft
This training was more directed toward what the product was capable of rather than actual programming.
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Online Training
IBM
No answers on this topic
Microsoft
I have used on-line training from Microsoft and from Pragmatic Works. I would recommend Pragmatic Works as the best way to get up to speed quickly, and then use the Microsoft on-line training to deep dive into specific features that you need to get depth with.
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Implementation Rating
IBM
No answers on this topic
Microsoft
We are a consulting firm and as such our best resources are always billing on client projects. Our internal implementation has weaknesses, but that's true for any company like ours. My rating is based on the product's ease of implementation.
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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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Microsoft
We have used the built in ConnectWise Manager reports and custom reports. The reports provide static data. PowerBI shows us live data we can drill down into and easily adjust parameters. It's much more useful than a static PDF report.
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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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Microsoft
  • As a SaaS provider we see being able to provide self-service BI to our client users as a competitive advantage. In fact the MSSQL enabled BI is a contributing factor to many winning RFPs we have done for prospective client organisations.
  • However MSSQL BI requires extensive knowledge and skills to design and develop data warehouses & data models as a foundation to support business analysts and users to interrogate data effectively and efficiently. Often times we find having strong in-house MSSQL expertise is a bless.
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ScreenShots