SSIS vs dbt comparison

dbt Labs and Microsoft are both solutions in the Data Integration category. dbt Labs is ranked #27 with an average rating of 7.5, while Microsoft is ranked #1 with an average rating of 7.8. dbt Labs holds a 1.7% mindshare in DI, compared to Microsoft’s 4.0% mindshare. Additionally, 100% of dbt Labs users are willing to recommend the solution, compared to 80% of Microsoft users who would recommend it.

dbt

Read 5 dbt reviews

1,642 Views
1,560 Comparison Views

100% willing to recommend

SSIS

Read 76 SSIS reviews

13,073 Views
10,981 Comparison Views

80% willing to recommend

dbt

SSIS

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Executive SummaryUpdated on Dec 19, 2024

SSIS and dbt are competing in the data transformation tools category. dbt appears to have the upper hand due to its modern approach and flexibility in SQL-based applications.

Features: SSIS offers robust ETL capabilities, a wide range of connectors, and strong integration with SQL Server, making it ideal for organizations within the Microsoft ecosystem. dbt provides simplicity, flexibility in SQL transformations, and effective test implementations, positioning it as a contemporary solution for cloud-based data warehouses.

Ease of Deployment and Customer Service: SSIS integrates well into Microsoft environments, simplifying deployment for these users, but its setup complexity can be challenging. dbt's cloud-first design ensures straightforward deployment in agile settings. SSIS benefits from Microsoft's extensive resources for customer support, while dbt offers responsive community support, advantageous for rapid development teams.

Pricing and ROI: SSIS involves higher initial setup costs due to licensing and infrastructure needs but can provide a stable ROI when part of a Microsoft system. dbt, with its open-source nature, usually has lower upfront costs and focuses on delivering increased ROI in modern, cloud-based platforms, appealing to different organizational requirements.

To learn more, read our detailed SSIS vs. dbt Report (Updated: December 2025).

Buyer's Guide

SSIS vs. dbt

December 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

dbt

Ranking in Data Integration

27th

Average Rating

7.8

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Data Quality (17th)

SSIS

Ranking in Data Integration

1st

Average Rating

7.6

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Data Integration category, the mindshare of dbt is 1.7%, up from 0.7% compared to the previous year. The mindshare of SSIS is 4.0%, down from 7.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
SSIS	4.0%
dbt	1.7%
Other	94.3%

Data Integration

Featured Reviews

Shubham-Agarwal

Manager Projects at Cognizant

Incremental data models have cut full refresh time and support trusted executive reporting

I am not very familiar with dbt's version control system. I cannot identify any improvements in dbt because I am still exploring more functionality. I have been working with dbt for only three years, so I am exploring more functionalities and cannot see any limitations or improvement areas at this time. In the past, I used the seed functionality, which is used to load raw files, individual files, or static files into the database. Going forward, if dbt can improve or implement more features on the seed side, that would be beneficial, especially when we have large files available that take time to load the data into Snowflake database.

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Chris Farris

Manager, Data Operations at a manufacturing company with 5,001-10,000 employees

User-friendly interface facilitates efficient data migration and reduces operational overhead

Its usability and ease of use are standout features. It is really easy to use - almost too easy at times. Users don't have to be experts to use their tool set and utilize the clicking mechanisms, drop down boxes, and other features to build a package and run it. The configuration is very easy and the system is very stable. I would rate it at a 10 as it is highly reliable; we have never had any problems with it. Very little maintenance is required on my side. While you need to keep the product up to date, the maintenance requirements are minimal. SSIS integrates with all Microsoft tools seamlessly. We have used it against Oracle, DB2 and SQL. It integrates and can move data around from any data platforms, making it very diverse in that standpoint. It is a very robust tool that can work with many data sources, and its main strength is that it is extremely easy to use.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Since we migrated from SSIS to dbt model architecture, it takes around four hours only to complete a full refresh, and the client is now happy because our downtime was drastically reduced when we perform a complete refresh of the data."

"There is operational efficiency achieved, and data quality and governance have also been achieved with modular SQL and version controlling, which reduced duplication of data and data errors."

"The product is developer-friendly."

"dbt has positively impacted my organization by allowing us to create our data pipelines much faster, going from ingestion of data to creating a data product in weeks instead of months, and we can do it in-house with the skillset we already have."

"The performance and stability are good."

"The most valuable feature of SSIS is its ease of use. It is easier to use than other applications."

"The performance is good."

"It has a drag and drop feature that makes it easy to use. It has a good user experience because it takes into account your most-used tools and they're lined up nicely so you can just drag and drop without looking too far. It also integrates nicely with Microsoft."

"SSIS provides you with lookup and transformation functions, and you have the flexibility to write your own custom code."

"SSIS is easy to use."

"The debugging capabilities are great, particularly during data flow execution. You can look into the data and see what's going on in the pipeline."

"The interface is very user-friendly."

More SSIS pros

Cons

"Dbt is not as stable as preferred, as it has had a few outages in the current year itself, so improvement should be made in the outages section as it is not stable."

"Since dbt has a license cost, if a company is small and does not have much budget, they can explore other tools because there are other tools that provide the same functionality at a lower cost."

"dbt can be improved as I find the co-pilot in dbt is not very good, and my team has tried using it but opted to move off it and use other co-pilots such as GitHub."

"The solution must add more Python-based implementations."

"In terms of its performance, it could be better. That could be something that would be easy and welcomed as an upgrade."

"The solution should work on the GPU, graphical processing unit. There should also be piping integration available."

"The creation of the measure in the DAC's model could be improved."

"Sometimes, there are compatibility issues with some features. From time to time, I also face issues when trying to migrate. If I misconfigure things when I use Snapshot, the migration will fail.It can take a long time to migrate huge amounts of data, so it would be nice if that could be faster."

"The security could be improved, as it is more important in our context."

"The interface could use improvement, as well as the administrative tools. Jobs fail from time to time for different reasons. It's not a problem with Microsoft, or SSIS itself. The problems are external, but to find the problems and analyze them it takes too much time."

"SSIS is stable, but extensive ETL data processing can have some performance issues."

"We're in the process of switching to Informatica, and we need to work out data lineage and data profiling and to improve the quality of our data. SSIS, however, is not that compatible with Informatica. We managed to connect it to Informatica Metadata Manager, but we don't get good lineage, so we have to redo all our ETLs using the Informatica process in order to accept the proper data lineage."

More SSIS cons

Pricing and Cost Advice

"The solution’s pricing is affordable."

"This solution is a free of charge addition to our SQL licence. However, the only way this tool can be utilized is as a feature of the SQL licence, which may make it unattractive to organizations who don't wish to purchase the wider-ranging licence."

"Depending on the arrangement that a certain company has with Microsoft, it may supply the permanent license that is included in the SQL server license, or it may be a time-bound license if it is a partner license or other enterprise license."

"We have an enterprise license for this solution."

"People have to opt for a perpetual-based licensing model."

"Our license with SSIS is annual."

"t's incredibly cost effective, easy to learn the basics quickly (although like all ETL tools requires the traditional learning curve to get good at) and has an immense user base."

"The solution is available at a lesser price than that of Informatica."

"SSIS is a cheaper option compared to the cost of other ETL tools."

More SSIS pricing and cost advice

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Comparison Review

it_user90069

BI Expert at a healthcare company with 1,001-5,000 employees

Feb 20, 2014

Informatica PowerCenter vs. Microsoft SSIS - each technology has its advantages but also have similarities

Technology has made it easier for businesses to organize and manipulate data to get a clearer picture of what’s going on with their business. Notably, ETL tools have made managing huge amounts of data significantly easier and faster, boosting many organizations’ business intelligence operations…

Read full review

Top Industries

By visitors reading reviews

Financial Services Firm

14%

Insurance Company

Manufacturing Company

Computer Software Company

Financial Services Firm

16%

Computer Software Company

Government

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	27
Midsize Enterprise	19
Large Enterprise	57

Questions from the Community

What is your experience regarding pricing and costs for dbt?

My experience with pricing, setup cost, and licensing was simple enough.

See all answers

What needs improvement with dbt?

dbt can be improved as I find the co-pilot in dbt is not very good, and my team has tried using it but opted to move off it and use other co-pilots such as GitHub. Additionally, the debugging capab...

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What is your primary use case for dbt?

My main use case for dbt is for data transformation and data engineering.A specific example of how I use dbt for data transformation and engineering is that we use it to connect and ingest data fro...

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Which is better - SSIS or Informatica PowerCenter?

SSIS PowerPack is a group of drag and drop connectors for Microsoft SQL Server Integration Services, commonly called SSIS. The collection helps organizations boost productivity with code-free compo...

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What do you like most about SSIS?

The product's deployment phase is easy.

See all answers

What is your experience regarding pricing and costs for SSIS?

It was included in our licensing for SQL server, and our licensing for SQL server was extremely cheap, making it a very good price point for us.

See all answers

Comparisons

Oracle Data Integrator (ODI) vs dbt

Compared 9% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs dbt

Compared 7% of the time

Informatica PowerCenter vs dbt

Compared 7% of the time

Tobiko vs dbt

Compared 7% of the time

Palantir Foundry vs dbt

Compared 5% of the time

More dbt Competitors

Informatica PowerCenter vs SSIS

Compared 9% of the time

Skyvia vs SSIS

Compared 6% of the time

Oracle Data Integrator (ODI) vs SSIS

Compared 5% of the time

IBM InfoSphere DataStage vs SSIS

Compared 4% of the time

AWS Glue vs SSIS

Compared 4% of the time

More SSIS Competitors

Product Reports

Buyer's Guide

Data Integration

January 2026

Download dbt product report

Buyer's Guide

SSIS

January 2026

Download SSIS product report

Also Known As

No data available

SQL Server Integration Services

Overview

dbt is a transformational tool that empowers data teams to quickly build trusted data models, providing a shared language for analysts and engineering teams. Its flexibility and robust feature set make it a popular choice for modern data teams seeking efficiency.

Designed to integrate seamlessly with the data warehouse, dbt enables analytics engineers to transform raw data into reliable datasets for analysis. Its SQL-centric approach reduces the learning curve for users familiar with it, allowing powerful transformations and data modeling without needing a custom backend. While widely beneficial, dbt could improve in areas like version management and support for complex transformations out of the box.

What are the most valuable features of dbt?

SQL-Based Development: Facilitates transformations using SQL, streamlining the data modeling process.
Modularity: Encourages reusable components, making projects easier to manage and scale.
Version Control: Integrates with version control systems to track changes and collaborate effectively.
Testing Framework: Ensures data quality through automated tests, increasing trust in data outputs.

What benefits should you expect from using dbt?

Efficiency: Cuts down data processing times, allowing faster access to insights.
Collaboration: Promotes teamwork through shared data models and a common working language.
Scalability: Supports growing data demands by transforming complex data more flexibly and modularly.
Transparency: Provides clear documentation and lineage tracking, aiding in troubleshooting and understanding.

In the finance industry, dbt helps in cleansing and preparing transactional data for analysis, leading to more accurate financial reporting. In e-commerce, it empowers teams to rapidly integrate and analyze customer behavior data, optimizing marketing strategies and improving user experience.

dbt Labs

SSIS is a versatile tool for data integration tasks like ETL processes, data migration, and real-time data processing. Users appreciate its ease of use, data transformation tools, scheduling capabilities, and extensive connectivity options. It enhances productivity and efficiency within organizations by streamlining data-related processes and improving data quality and consistency.

Microsoft

Sample Customers

Information Not Available

1. Amazon.com 2. Bank of America 3. Capital One 4. Coca-Cola 5. Dell 6. E*TRADE 7. FedEx 8. Ford Motor Company 9. Google 10. Home Depot 11. IBM 12. Intel 13. JPMorgan Chase 14. Kraft Foods 15. Lockheed Martin 16. McDonald's 17. Microsoft 18. Morgan Stanley 19. Nike 20. Oracle 21. PepsiCo 22. Procter & Gamble 23. Prudential Financial 24. RBC Capital Markets 25. SAP 26. Siemens 27. Sony 28. Toyota 29. UnitedHealth Group 30. Visa 31. Walmart 32. Wells Fargo

Buyer's Guide

SSIS vs. dbt

December 2025

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