IBM watsonx.data intelligence vs. SQL Server Integration Services

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM watsonx.data intelligence
Score 8.2 out of 10
N/A
IBM® watsonx.data intelligence provides data governance software (formerly IBM Knowledge Catalog) that provides a data catalog to automate data discovery, data quality management and data protection - for both structured and unstructured data.N/A
SSIS
Score 6.5 out of 10
N/A
Microsoft's SQL Server Integration Services (SSIS) is a data integration solution.N/A
Pricing
IBM watsonx.data intelligenceSQL Server Integration Services
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM watsonx.data intelligenceSSIS
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsIBM watsonx.data intelligence's pricing that scales with usage and functionality. watsonx.data intelligence can be deployed in various environments such as cloud, hybrid, or on-premises. The on-premises offering is available via subscription or perpetual licenses, charged with a consumption-based Resource Unit model. The SaaS offering is available via Resource Units or Instances, with the ability to upgrade to higher tiers as needed.
More Pricing Information
Community Pulse
IBM watsonx.data intelligenceSQL Server Integration Services
Features
IBM watsonx.data intelligenceSQL Server Integration Services
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
IBM watsonx.data intelligence
-
Ratings
SQL Server Integration Services
7.5
Ratings
11% below category average
Connect to traditional data sources00 Ratings8.80 Ratings
Connecto to Big Data and NoSQL00 Ratings6.20 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
IBM watsonx.data intelligence
-
Ratings
SQL Server Integration Services
8.1
Ratings
1% below category average
Simple transformations00 Ratings8.50 Ratings
Complex transformations00 Ratings7.70 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
IBM watsonx.data intelligence
-
Ratings
SQL Server Integration Services
7.4
Ratings
7% below category average
Data model creation00 Ratings8.60 Ratings
Metadata management00 Ratings7.10 Ratings
Business rules and workflow00 Ratings8.20 Ratings
Collaboration00 Ratings7.30 Ratings
Testing and debugging00 Ratings6.10 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
IBM watsonx.data intelligence
-
Ratings
SQL Server Integration Services
6.9
Ratings
16% below category average
Integration with data quality tools00 Ratings7.40 Ratings
Integration with MDM tools00 Ratings6.40 Ratings
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User Ratings
IBM watsonx.data intelligenceSQL Server Integration Services
Likelihood to Recommend
8.7
(0 ratings)
8.0
(0 ratings)
Likelihood to Renew
-
(0 ratings)
10.0
(0 ratings)
Usability
-
(0 ratings)
9.3
(0 ratings)
Performance
-
(0 ratings)
8.8
(0 ratings)
Support Rating
-
(0 ratings)
8.2
(0 ratings)
Implementation Rating
-
(0 ratings)
10.0
(0 ratings)
User Testimonials
IBM watsonx.data intelligenceSQL Server Integration Services
Likelihood to Recommend
It's great for data discovery and analyzing the quality of that data, and it's great for managing that catalog with strong rules and policies. It has an easy policy management and data governance rules and has a very good graphic tool to show the integration between business terms and physical data not good for managing data privacy and mapping personal data handling processes
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Ideal for daily standard ETL use cases whether the data is sourced from / transferred to the native connectors (like SQL Server) or FTP. Best if the company uses MS suite of tools. There are better options in the market for chaining tasks where you want a custom flow of executions depending on the outcome of each process or if you want advanced functionality like API connections, etc.
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Pros
  • Data
  • Storage
  • Collection
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  • SSIS works very well pulling well-defined data into SQL Server from a wide variety of data sources.
  • It comes free with the SQL Server so it is hard not to consider using it providing you have a team who is trained and experienced using SSIS.
  • When SSIS doesn't have exactly what you need you can use C# or VBA to extend its functionality.
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Cons
  • Data discovery performance.
  • Discovery of unstructured data.
  • Integration with Privacy Management API.
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  • SSIS memory usage can be quite high particularly when SSI and SQL server are on the same machine
  • SSIS is not available on any environment other than Microsoft Windows
  • SSIS does not function with any database engine back-end other than Microsoft SQL Server
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Likelihood to Renew
No answers on this topic
SSIS is responsible for running core business processed managing core business data. It can be managed, improved and expanded using minimal internal resources. It is also able to support all of our current data infrastructure. Replacing SSIS would be time consuming and costly with no apparent ROI.
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Usability
No answers on this topic
SSIS has a drag and drop based developer interface, so it is relatively straight forward to get started. You can start to get into the weeds pretty quickly as your solution becomes more complex. However, most of the base functions are right in front of you for a developer. You can also set project and solution level parameters, so when you deploy to new environments, you don't have to jump into each package to change your variables and settings. (For example, default directory to ingest flat files).
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Performance
No answers on this topic
Raw performance is great. At times, depending on the machine you are using for development, the IDE can have issues. Deploying projects is very easy and the tool set they give you to monitor jobs out of the box is decent. If you do very much with it you will have to write into your projects performance tracking though.
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Support Rating
No answers on this topic
The support, when necessary, is excellent. But beyond that, it is very rarely necessary because the user community is so large, vibrant and knowledgable, a simple Google query or forum question can answer almost everything you want to know. You can also get prewritten script tasks with a variety of functionality that saves a lot of time.
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Implementation Rating
No answers on this topic
The implementation may be different in each case, it is important to properly analyze all the existing infrastructure to understand the kind of work needed, the type of software used and the compatibility between these, the features that you want to exploit, to understand what is possible and which ones require integration with third-party tools
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Alternatives Considered
The IBM Watson Knowledge Catalog is a great amount of storage for the price. It is easily accessed by all users in the company. It provides great search features and clear pathways to locate documents. This is great for the team and our client when needing access to a specific document.
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I think SQL Server Integration Services is better suited for on-premises data movement and ADF is more suited for the cloud. Though ADF has more connectors, SQL Server Integration Services is more robust and has better functionality just because it has been around much longer
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Return on Investment
  • Too early to determine ROI.
  • I have had cases where IBM Watson has been offered with a suite of services
  • With strengths in enterprise asset management, it has a lot of potential to be the platform of choice.
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  • Without this, we would have to manually update a spreadsheet of our SQL Server inventory
  • We would also have poor alerting; if an instance was down we wouldn't know until it was reported by a user
  • We only have one other person who uses SQL Server Integration Services , he's the expert. It would fall to me without him and I would not enjoy being responsible for it.
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ScreenShots