WhereScape RED vs dbt comparison

dbt Labs and WhereScape are both solutions in the Data Integration category. dbt Labs is ranked #37 with an average rating of 7.5, while WhereScape is ranked #46. dbt Labs holds a 1.8% mindshare in DI, compared to WhereScape’s 1.1% mindshare. Additionally, 100% of dbt Labs users are willing to recommend the solution, compared to 95% of WhereScape users who would recommend it.

dbt

Read 2 dbt reviews

786 Views
618 Comparison Views

100% willing to recommend

WhereScape RED

Read 15 WhereScape RED reviews

1,423 Views
873 Comparison Views

95% willing to recommend

dbt

WhereScape RED

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Executive SummaryUpdated on Dec 19, 2024

WhereScape RED and dbt compete in the data integration space. dbt holds the upper hand with its modern features and community-driven support model, despite strong support and pricing preferences for WhereScape RED.

Features: WhereScape RED provides automated data modeling, ETL processing, and data warehouse automation, optimizing workflows and accelerating deployment. dbt specializes in SQL-based analytics workflows, adapting to changes quickly, and offering scalability. WhereScape RED focuses on comprehensive data warehousing, while dbt prioritizes modern data transformation techniques.

Ease of Deployment and Customer Service: WhereScape RED simplifies deployment with a guided process and extensive customer service, ensuring efficient operations. Its customer support is highly responsive. dbt relies on its documentation and community forums, which offers flexibility but requires more involvement from technical teams, promoting self-sufficiency.

Pricing and ROI: WhereScape RED demands a higher initial investment but delivers high ROI through automation. dbt's lower costs provide an attractive ROI for agile data transformation. The key difference is WhereScape RED's higher setup expenses balanced by automation benefits, while dbt provides an affordable entry with long-term scalability benefits.

To learn more, read our detailed WhereScape RED vs. dbt Report (Updated: June 2025).

Buyer's Guide

WhereScape RED vs. dbt

June 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

37th

Average Rating

7.6

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

WhereScape RED

Ranking in Data Integration

46th

Average Rating

8.2

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2025, in the Data Integration category, the mindshare of dbt is 1.8%, up from 0.0% compared to the previous year. The mindshare of WhereScape RED is 1.1%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Ninad Magdum

Senior Machine Learning Engineer at Happiest Minds Technologies

Developer-friendly and easy to use, but doesn't have many optimization options

We also use stored procedures and Talend. They are not replaced by dbt completely. We use dbt only for the transformation process. My recommendations would depend on an organization’s requirements and problems. I will recommend the tool to others. The product is developer-friendly. However, it is still dependent on the data warehouse for big data and optimization. It's just a SQL transformation tool. It doesn't have a lot of optimization options like Spark. It's a good tool for Snowflake. If it were only for Snowflake, I would have rated it an eight out of ten. However, there are other data platforms. Overall, I rate the tool a six and a half out of ten.

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reviewer1618884

BI Analyst DW Architect at a mining and metals company with 10,001+ employees

Quick to set up, flexible, and stable

The scheduling part I don't like due to the fact that it allows you to schedule as a parent and child and other things, however, the error trackability has to be a little more user-friendly. It's also not user-friendly in the sense that it loads all the jobs and there are not enough filters so that it doesn't need to load everything. If the job fails, you don't get any type of alert or email. It would be ideal if there was some sort of automated alert message. Technical support isn't the best. It would be ideal if we understood how to do it in a card exception regarding exclusion, where the card is captured separately rather than filling the whole process on the data inbound side. Certain workloads like this are organized in such a way where you seem to be doubling the work as opposed to streamlining the process.

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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

"The product is developer-friendly."

"This is a fantastically robust DW tool that will make you at least 10 times faster in producing a DW."

"WhereScape is really helpful in terms of architecture data. Everything is one of automation. Two people can do thousands of tables in one day or two. It saves a lot of time."

"RED generates comprehensive documentation and regenerates it as quickly as things changes, but it also provides impact documentation."

"RED has provided us the ability to integrate, stage, and transform data from diverse sources into an enterprise-grade data warehouse which meets the needs of my organization, but it also enables us to easily and quickly make ETL or DW changes."

"The tool supports multiple target update methods."

"I like the data vault implementations."

"Naturally produces a way to easily debug your DW data solutions."

"I found the initial setup very easy."

More WhereScape RED pros

Cons

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

"Technical support isn't the best."

"The scheduled jobs which are run by the WhereScape scheduler seem to be a strangely separate animal. Unlike all other WhereScape objects, jobs cannot be added to WhereScape projects. Also, unlike all other objects, jobs also cannot be deleted using a WhereScape deployment application."

"The solution can be a little more user-friendly on enterprise-level where people use it."

"Project-based searching of data objects in the data warehouse browser needs to be improved."

"No support for change data capture or delta detection - that must be custom coded ."

"They need a more robust support center. It has been a bit difficult to find solutions to problems that are out-of-the-box."

"It could use a tool to diagnose what is missing from the environment for WhereScape to install successfully."

"Customization could be better."

More WhereScape RED cons

Pricing and Cost Advice

"The solution’s pricing is affordable."

"ROI is at least 10 times."

"Our company purchased a corporate unlimited license."

"Factor in the price of specialized consulting who know this product. They're hard to find and expensive."

"Speed to market of a warehouse solution at a relatively inexpensive price point."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Insurance Company

12%

Healthcare Company

Computer Software Company

Financial Services Firm

16%

Computer Software Company

10%

Healthcare Company

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What is your experience regarding pricing and costs for dbt?

It is cheap because dbt is open source. If you compare the pay-per-service of Dbt with the open source option you can manage. We are managing the solution, when we were acquiring service from them....

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What needs improvement with dbt?

SQL statements that beyond DML, are not possible. Currently, they are not possible in Dbt. Having more features in SQL statements will support us. Another issue is the terms of data ingestion becau...

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What is your primary use case for dbt?

We use the solution to deal with data transformations inside different organizations.

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Comparisons

SSIS vs dbt

Compared 29% of the time

Informatica PowerCenter vs dbt

Compared 14% of the time

Tobiko vs dbt

Compared 7% of the time

Oracle Data Integrator (ODI) vs dbt

Compared 7% of the time

Palantir Foundry vs dbt

Compared 6% of the time

More dbt Competitors

Azure Data Factory vs WhereScape RED

Compared 13% of the time

Informatica PowerCenter vs WhereScape RED

Compared 13% of the time

SSIS vs WhereScape RED

Compared 11% of the time

erwin Data Catalog by Quest vs WhereScape RED

Compared 10% of the time

ibi Open Data Hub for Mainframe vs WhereScape RED

Compared 7% of the time

More WhereScape RED Competitors

Product Reports

Buyer's Guide

Data Integration

June 2025

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Buyer's Guide

WhereScape RED

May 2025

Download WhereScape RED product report

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

WhereScape is data warehouse software that automates the Data Warehouse lifecycle. From implementation to maintenance, WhereScape will ensure your data warehouse projects are completed up to 5x faster than manual coding.

WhereScape

Sample Customers

Information Not Available

British American Tobacco, Cornell University, Allianz Benelux, Finnair, Solarwinds and many more.

Buyer's Guide

WhereScape RED vs. dbt

June 2025

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