Customer Satisfaction

★★★★★★★★★★ 8.2/10

8.2

User Experience

★★★★★★★★★★ 8.7/10

8.7

Functionality

★★★★★★★★★★ 7.3/10

7.3

Business Value

★★★★★★★★★★ 7.4/10

7.4

dbt Cloud

What is dbt Cloud?

Development environment for creating SQL-based transformations with support for software development processes such as modularity, portability, CI/CD and documentation.

Data Management & Storage

– Databases & Access Engines

– Data Intelligence, Data Catalogs and Marketplaces

● Data Operations

● Data Pipelining and Data Quality

● = covered

About dbt Cloud

Self-description of the vendor

No vendor self-description available

References

No data available

Partners

No data available

dbt Cloud User Reviews & Experiences

The information contained in this section is based on user feedback and actual experience with dbt Cloud.

The information and figures are largely drawn from BARC’s The BI & Analytics Survey, The Planning Survey, The Financial Consolidation Survey and The Data Management Survey. You can find out more about these surveys by clicking on the relevant links.

Who uses dbt Cloud in a data management context and how

Why users buy dbt Cloud and what problems they have using it

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Full user reviews and KPI results for dbt Cloud

All key figures for dbt Cloud at a glance.

Premium content. Unlock with BARC+.

For just €79 per month (€948 per year) you can access all the paid content on www.barc.com.

Your benefits:

Get independent information on software solutions, market developments and trends in data, analytics, business intelligence, data science and corporate performance management.
Make data & analytics decisions based on numbers, data, facts and expert knowledge
Access to all premium articles and all our research, including all software comparison studies, scores and surveys.
Unlimited access to the BARC media library
Consume unlimited content anywhere

Individual user reviews for dbt Cloud

Role

Data engineer/Data manager

Number of employees

More than 2.500

Industry

Retail

Source

Invited by the vendor, The Data Management Survey 25, 04/2024

What do you like best?

Automatische Lineage (besonders die neue Column Level Lineage). Leicht zu konfigurierende Datenqualitätstests. Flexibilität beim Deployment (Ziel-Datenbank/Schema der Models). Recht komfortabler Editor (z.B. Macro-Shortcuts, Quoting). Schnelle Erreichbarkeit der wichtigsten Befehle (run, test, build, lint/fix) per Knopfdruck.

What do you like least/what could be improved?

Ggleichzeitige Arbeit in mehreren Projekten parallel (in verschiedenen Browser-Tabs) schwierig bzw. kaum möglich. Feature Degression: früher konnte man mit SQLFluff einzelne Regeln gezielt hintereinander fixen; seit kurzen wird nur noch Fix all issues angeboten. (Noch?) keine einfach Möglichkeit, ein Modell nur einmalig zu bauen (z.B. historische Fakten). Es gibt zwar Workarounds, aber wünschenswert wäre eine Config-Option wie materialized = table_if_not_exists. Lineage bei Verwendung von dbt mesh funktioniert nur bis zum Mesh-Model, aber nicht upstream (also die Lineage für das verwendete Model aus einem anderen Projekt). Dedizierter PK-Test wäre wünschenswert (statt Kombination aus unique + not_null). Könnte man git blame in die Editor-UI integrieren (ähnlich wie z.B. in VS Code)?

What key advice would you give to other companies looking to introduce/use the product?

Onboarding/Training in einem separaten Playground-Projekt. Die Konfigurationsfreiheiten (Ordnerstruktur, globaler Namensraum etc.) noch vor Projektstart per Konventionen eindämmen (und dabei großzügig offizielle Best Practices an eigene Bedürfnisse anpassen). Akzeptanz bei Usern bzw. Entwicklern steigern: die Vorteile (einfaches Testing, automatische Lineage, flexibles Deployment, Compile -Funktionalität für copy&paste-fähigen Code) an konkreten echten Beispielen demonstrieren bzw. selbst erfahren lassen.

How would you sum up your experience?

Überwiegend positiv; manche Features (einfaches Testing, automatische Lineage) möchte ich nicht mehr missen. Das Marketing-Material konnte mich zuvor nicht überzeugen, da es solche Features zwar erwähnt, aber nicht in der Lage ist, die tatsächliche Nützlichkeit vorzustellen (das erlebte ich erst beim praktischen Erstkontakt mit dem Tool).

Role

Project manager for BI/analytics from business department

Number of employees

100 - 2.500

Industry

Telecommunications

Source

Invited by the vendor, The Data Management Survey 25, 04/2024

What do you like best?

Das Onboarding und Enablement des Teams war sehr gut.

What do you like least/what could be improved?

Keine aktuellen Themen bekannt.

What key advice would you give to other companies looking to introduce/use the product?

Evaluierung gegenüber alternativen Lösungen empfehlenswert, um die Funktionsfähigkeit sicherzustellen.

How would you sum up your experience?

Der Wechsel des Transformation Tools zu DBT hat recht reibungslos funktioniert.

Role

Lead Data Warehouse Architect

Number of employees

100 - 2.500

Industry

Utilities

Source

Invited by the vendor, The Data Management Survey 25, 05/2024

What do you like best?

User Interface.

What do you like least/what could be improved?

Umbenennungen in referenzierte Objekten propagieren.

What key advice would you give to other companies looking to introduce/use the product?

DWH-Spezialisten suchen!

How would you sum up your experience?

Einfach gut!

Role

CIO

Number of employees

More than 2.500

Industry

Healthcare

Source

Invited by the vendor, The Data Management Survey 25, 04/2024

What do you like best?

Tool built by those in the field, for those in the field.

What do you like least/what could be improved?

What key advice would you give to other companies looking to introduce/use the product?

Invest in upskilling of the workforce.

How would you sum up your experience?

Great company with great leadership.

Role

Data engineer/Data manager

Number of employees

More than 2.500

Industry

Healthcare

Source

Invited by the vendor, The Data Management Survey 25, 05/2024

What do you like best?

Core functionality of the product is good. Training and support. General conduct of support and sales teams.

What do you like least/what could be improved?

Pricing model. Not as flexible as we would like. Expensive to scale up - should be a tiered model with discount applied with further adoption.

What key advice would you give to other companies looking to introduce/use the product?

How would you sum up your experience?

The cost of dbt Cloud makes dbt Core an attractive option. There needs to be more differentiators in the Cloud product for consumers to justify the price.

Role

Enterprise architect

Number of employees

More than 2.500

Industry

Process industry

Source

Invited by the vendor, The Data Management Survey 25, 05/2024

What do you like best?

Great ecosystem integration, de-facto industry standard for developing data products on Snowflake.

What do you like least/what could be improved?

Interface that is more friendly for business-end-users. E.g. with self-service data modelling based on existing data products.

What key advice would you give to other companies looking to introduce/use the product?

How would you sum up your experience?

We are at the beginning, but looks good so far!

Role

Data engineer/Data manager

Number of employees

More than 2.500

Industry

Telecommunications

Source

Invited by the vendor, The Data Management Survey 25, 05/2024

What do you like best?

The business problem it is solving.

What do you like least/what could be improved?

Cost for dbt Cloud developer seats.

What key advice would you give to other companies looking to introduce/use the product?

Seriously consider dbt Cloud over dbt core. The initial licence cost will likely be offset by dev cost of maintaining core depending on your org.

How would you sum up your experience?

Role

Data engineer/Data manager

Number of employees

More than 2.500

Industry

Media/Publishing

Source

Invited by the vendor, The Data Management Survey 25, 04/2024

What do you like best?

Wiedervendbarkeiten (Macro) und Flexibilität bei der Programmierung (Jinja, Python, SQL). Integration in die die Datenbank und git.

What do you like least/what could be improved?

Data Ingest muss vorgelagert mit separater Lösung erfolgen, mindestens bis nach GCS (Google Storage).

What key advice would you give to other companies looking to introduce/use the product?

How would you sum up your experience?

Durchweg positiv, sowohl das Tool an sich wie auch den Support und die Kundenbetreuung.

Survey Information

Number of reviews for dbt Cloud

Reviewed versions

44 percent version 1.8, 38 percent version 1.7, 19 percent version 1.6

Peer groups in the survey

Data Product Engineering, Data Product Engineering (Big Players), ETL Tools

Interactive comparison of data tools

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