WhereScape RED vs dbt comparison

dbt Labs and WhereScape are both solutions in the Data Integration category. dbt Labs is ranked #38 with an average rating of 7.5, while WhereScape is ranked #49. 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

507 Views
451 Comparison Views

100% willing to recommend

WhereScape RED

Read 15 WhereScape RED reviews

1,614 Views
1,081 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: March 2025).

Buyer's Guide

WhereScape RED vs. dbt

March 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

38th

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

49th

Average Rating

8.2

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

No ranking in other categories

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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it_user584544

Manager Data Warehousing at a university with 10,001+ employees

The architecture is based on metadata and documentation is automated.

I would love to see a GUI interface for defining dependencies between build processes. RED provides a spreadsheet like interface for defining the dependencies between builds. Once the dependencies are defined, RED can produce a nice dependency diagram to give a visualization of the dependency tree. It would be easier to define complex dependency relationships if the dependency diagram were interactive. Our legacy ETL tool provided this GUI dependency definition via a drag and drop diagram which was very useful. The solution provided by WhereScape does work, and the dependency diagrams generated are helpful. It would just be nice to have the ability to define dependencies via a diagram, since dependencies relationships are much easier to understand via a diagram.

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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."

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

"Their support staff are very knowledgeable, courteous, and professional. I feel their support staff go above and beyond to assure their customers are satisfied."

"It has a built-in automatic scheduling environment."

"The most valuable feature is the metadata generated code."

"WhereScape RED has improved our business's ability to generate needed reporting without requiring a large team of developers to manually code all of the necessary plumbing."

"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 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."

More WhereScape RED pros

Cons

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

"Improve the object renaming ability (it works, but it could be more automated)."

"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."

"Jobs cannot be deleted via the deployment package. When deploying from dev to QA or production, a job has to be retired. The job has to be manually removed from the target environment."

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

"The ability to execute SSIS projects within WhereScape would be nice because we have a lot of packages that are too cumbersome to recreate."

"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."

More WhereScape RED cons

Pricing and Cost Advice

"The solution’s pricing is affordable."

"ROI is at least 10 times."

"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."

"Our company purchased a corporate unlimited license."

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Healthcare Company

10%

Insurance Company

Computer Software Company

Financial Services Firm

19%

Insurance Company

10%

Computer Software Company

Healthcare 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

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Compared 29% of the time

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Compared 18% of the time

Palantir Foundry vs dbt

Compared 7% of the time

Tobiko vs dbt

Compared 7% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs dbt

Compared 5% of the time

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Azure Data Factory vs WhereScape RED

Compared 18% of the time

Informatica PowerCenter vs WhereScape RED

Compared 17% of the time

SSIS vs WhereScape RED

Compared 11% of the time

Matillion ETL vs WhereScape RED

Compared 8% of the time

ibi Open Data Hub for Mainframe vs WhereScape RED

Compared 6% of the time

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Product Reports

Buyer's Guide

Data Integration

February 2025

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Buyer's Guide

WhereScape RED

February 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

March 2025

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