SnapLogic vs dbt comparison

Read 26 SnapLogic reviews

3,657 Views
1,865 Comparison Views

88% willing to recommend

dbt

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Dec 19, 2024

SnapLogic and dbt are competing in the data integration and transformation category. SnapLogic stands out for its integration capabilities, while dbt has an advantage in transformation tools due to its detailed data processing features.

Features: SnapLogic offers pre-built connectors, a straightforward integration platform, and robust cloud integration features, making it a great fit for businesses needing efficient data movement. dbt provides strong transformation capabilities, focusing on data modeling and customization through SQL-based models, and benefits from its open-source transformation framework that supports detailed processing.

Ease of Deployment and Customer Service: SnapLogic offers faster deployment times and responsive customer service, aiding quick adoption. dbt deployment is efficient but requires more technical expertise. Its customer support is well-regarded but may involve more self-service to solve issues.

Pricing and ROI: SnapLogic has a higher initial setup cost due to its extensive integration features, but this is seen as reasonable given the efficiency and scalability it provides. dbt is more cost-effective initially, appealing to companies prioritizing detailed data transformation with the potential for enhancing long-term ROI.

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

Download the complete report

SnapLogic vs. dbt

December 2025

Helped 881,082 peers since 2012

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)

SnapLogic

Ranking in Data Integration

21st

Average Rating

7.8

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Process Automation (16th), API Management (20th), Cloud Data Integration (14th), Integration Platform as a Service (iPaaS) (11th)

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 SnapLogic is 1.1%, down from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
SnapLogic	1.1%
dbt	1.7%
Other	97.2%

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.

Read full review

SameerShaikh

Technical Specialist App Development at Birlasoft IndiaLtd.

Has automated manual tasks and simplified integration with pre-built connectors while supporting AI use cases

The tool is very user-friendly and not complex to understand. The structure of the platform is easy to understand, and we can build multiple systems with low-code, no-code, so it doesn't require much coding language. Now it is moving more into APIs, so we can create APIs to transfer data, which we can manage. It's moving into AI, so we can create AI agents with LLM models. We can use most of the LLM such as Amazon Bedrock, OpenAI, Azure AI. With those Snaps, we can integrate and move more into the AI world. SnapLogic is hosted on Groundplex and AWS cloud. It has pre-built connectors, which we call Snaps. That is very helpful to connect with multiple systems. We have a dashboard monitor that is very graphical. We can measure exact times in seconds and how much time it took to complete the process. With that help, it's really helpful to see how much memory consumption is utilized. The monitor structure has very good features for SnapLogic. SnapLogic is an integration tool which we use to integrate multiple systems such as source system, target system, cloud systems, and Groundplex systems. It is an iPaaS tool and a very strong tool. Now it is moving more into APIs and AI/ML tools; it is improving their knowledge. It is helpful for creating SnapLogic agents. In this way, SnapLogic is expanding their work.

Read full review

Quotes from Members

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

Pros

"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."

"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."

"I find SnapLogic to be user-friendly, especially for beginners with limited experience in data engineering or ETL."

"The solution could improve its API management."

"The vendor handles the maintenance of the solution"

"SnapLogic is more user-friendly than Boomi in terms of debugging. You can move the mouse to a place, and it will record and show the data easily."

"Overall product rating is nine out of ten."

"The technical support from SnapLogic is excellent, and I would give it a complete ten."

"An important tool for building prototypes and MVPs than can seamlessly turn into production jobs"

"I find the reusability and the snaps to be very valuable features."

More SnapLogic pros

Cons

"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."

"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."

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

"Some advanced features lack detailed documentation, and debugging complex pipelines could be more intuitive."

"One area for improvement in SnapLogic is the transparency in the flow of data. It needs to have more transparency. Right now, users only have a preview option at the end of any job flow, so at the end of any Snap Pack, there is a data preview option that lets you review the data and see how it's moving. What would make the solution better is more debugging and more access to change data from the preview panel or more functionality in terms of the preview option."

"It needs some more snaps. I would like to see some of the features be changed in some of the snaps."

"What could be improved in SnapLogic is that it was not capable in terms of processing a large number of datasets, but at that point, SnapLogic was evolving. It didn't give a lot of Snaps. I heard recently there are a lot of Snaps getting added and the solution was being enhanced, particularly to connect different data sources. When I was working with SnapLogic six months to one year back, I faced the issue of it not being capable of handling a huge volume of datasets or didn't have much of Snaps, and that was the drawback. If there is any large number of data sets, that's based on or depends on your configuration. If it is a huge volume of data, other traditional ETL tools such as Informatica and Talend can process millions and billions of records, while in SnapLogic, the Snaplex fails or it returns an error in terms of processing that huge volume of data. Informatica, Talend, or any other ETL tool can run for hours in terms of jobs, while SnapLogic jobs fail when the threshold is reached. SnapLogic isn't able to withstand processing, but I don't know if that's still an issue at present, because the solution is getting enhanced and it's been more than six months to one year since I last worked with SnapLogic. There are now a lot of Snaps getting added to the solution, and if it can overcome the limitations I mentioned, SnapLogic could be the go-to tool because currently, it's not being used as much in organizations. It's being used comparatively less compared to other retail tools."

"SnapLogic sits somewhere in the middle. It doesn’t offer enough easy canned integrations for its users like some of the easier to use integration apps."

"SnapLogic should have some inbuilt protocol mechanism in order to speed up."

"There is room for improvement with APM management and how task execution looks."

"I don't think the support has better knowledge about technologies and tool support. There were lots of times when we had an issue, and it took me quite a long time to explain the problem. I feel like some of the support staff don't know their product well."

More SnapLogic cons

Pricing and Cost Advice

"The solution’s pricing is affordable."

"The pricing is okay."

"From the ROI perspective, the price is extremely high"

"SnapLogic's price is high compared to the other tools available in the market."

"The license model is based on consumption."

"I used the free trial."

"When comparing it with solutions like Apigee or MuleSoft, it still offers better value."

"The cost with SnapLogic is an annual license and better than Informatica."

"They have pricing/usage tiers that are easy to move up or down."

More SnapLogic pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Data Integration solutions are best for your needs.

See recommendations

881,082 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

14%

Insurance Company

Manufacturing Company

Computer Software Company

Financial Services Firm

18%

Manufacturing Company

12%

Comms Service Provider

Real Estate/Law Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	5
Large Enterprise	11

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.

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...

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...

What do you like most about SnapLogic?

Despite having no prior experience in SnapLogic, we managed to build, test, and prepare it for release in just three hours, handling heavy data efficiently.

What needs improvement with SnapLogic?

Some advanced features lack detailed documentation, and debugging complex pipelines could be more intuitive. We have faced a few issues with pipeline throttling, but SnapLogic support was responsiv...

What is your primary use case for SnapLogic?

Our main use case for SnapLogic is building integration pipelines across SaaS applications, databases, and internal systems to automate the data flows. A specific example of how we have used SnapLo...

Oracle Data Integrator (ODI) vs dbt

Comparisons

SSIS vs dbt

Compared 20% of the time

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

Alteryx Designer vs dbt

Compared 3% of the time

More dbt Competitors

AWS Glue vs SnapLogic

Compared 8% of the time

Pentaho Data Integration and Analytics vs SnapLogic

Compared 6% of the time

MuleSoft Anypoint Platform vs SnapLogic

Compared 5% of the time

Boomi iPaaS vs SnapLogic

Compared 5% of the time

Matillion Data Productivity Cloud vs SnapLogic

Compared 5% of the time

More SnapLogic Competitors

Product Reports

Download dbt product report

Data Integration

January 2026

Download SnapLogic product report

January 2026

Also Known As

No data available

DataFlow

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

The SnapLogic Intelligent Integration Platform uses AI-powered workflows to automate all stages of IT integration projects – design, development, deployment, and maintenance – whether on-premises, in the cloud, or in hybrid environments. The platform’s easy-to-use, self-service interface enables both expert and citizen integrators to manage all application integration, data integration, API management, B2B integration, and data engineering projects on a single, scalable platform. With SnapLogic, organizations can connect all of their enterprise systems quickly and easily to automate business processes, accelerate analytics, and drive transformation.

Sample Customers

Information Not Available

Adobe, ADP, BlackBerry, Bonobos, Box, Capital One, Dannon, Eero, Endo, Gensler, HCL, HP, Grovo, HIS, iRobot, Leica, Merck, Sans, Target, Verizon, Vodafone, Yelp, Yahoo!