Good for startups or companies with limited data variability, Big data companies will need better tools
June 24, 2022

Good for startups or companies with limited data variability, Big data companies will need better tools

Vishal Shah | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with SQL Server Integration Services

SQL Server is the legacy Database and Data Warehouse in the company. SSIS is used for most ETLs where the data is sourced from / put into SQL Server, depending on the use case. It is an MS native and easy-to-use ETL tool that comes with the SQL Server Data Tools suite. I use the tool personally to deploy ETLs for business stakeholders as a request arises.
  • Standard ETL use cases for daily loads
  • Loading incoming data from Vendors which is placed on FTP and adding them to the SQL Warehouse
  • Creating outgoing data files and writing them to Vendor FTPs
  • Easy Active Directory integration for seamless connections to SQL Server
  • CI/CD by hosting the code on
  • API connections are not a native functionality. We use Zappysys extensions but they work only in certain cases.
  • Dependency executions - no simple way to create a hierarchy/chain of executions. Ex: Define if the execution of the child process should be stopped if a parent fails or a certain condition is triggered in the parent process and then redirect to a different part of the chain (think like a flowchart for executions).
  • Good ROI for companies using the MS suite of tools (SQL Server / SSDT) without having to purchase additional tools.
  • SQL Server is expensive, so running very complex processes using SSIS will become quickly very expensive.
SSIS is similar to Alteryx and Informatica PowerCenter in a way because these are all drag-and-drop ETL tools with similar functionality. Alteryx is a step ahead because it has some advanced ETL functionalities including statistical calculations etc. and a better ability to set process dependencies. Informatica is by far the most powerful ETL tool I've used but it can be daunting for a new user because it has so many options and configurations, SSIS does similar work with less complexity (it is easier to use).

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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.

SSIS Feature Ratings

Connect to traditional data sources
Connecto to Big Data and NoSQL
Simple transformations
Complex transformations
Data model creation
Metadata management
Business rules and workflow
Testing and debugging
Integration with data quality tools
Integration with MDM tools