dbt Reviews

dbt

5.0 out of 5 stars

Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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Average Ratings 4 Ratings

Total 5 out of 5 stars
ease 5 out of 5 stars
features 5 out of 5 stars
design 5 out of 5 stars
support 4.5 out of 5 stars

Description

MetaCenter allows both business and technology departments to systematically organize and categorize the information resources of an organization. Through this platform, users can independently inquire about their data assets and understand the movement of data within the business, as well as determine the appropriate usage classifications. This capability helps organizations minimize expenses while enhancing flexibility and mitigating operational risks. The search-based semantic layer facilitates the automatic cross-referencing of models. Additionally, tailored Faceted Views for specific data assets can be made accessible to distinct roles within the organization. The lower total cost of ownership combined with increased automation results in a superior return on investment when compared to rival solutions. Moreover, the intuitive, GUI-driven customization allows for quick application adaptations without the need for programming expertise or professional services, making it highly user-friendly. Ultimately, this empowers teams to respond swiftly to changing business needs and enhances overall productivity.

Description

dbt Labs is redefining how data teams work with SQL. Instead of waiting on complex ETL processes, dbt lets data analysts and data engineers build production-ready transformations directly in the warehouse, using code, version control, and CI/CD. This community-driven approach puts power back in the hands of practitioners while maintaining governance and scalability for enterprise use. With a rapidly growing open-source community and an enterprise-grade cloud platform, dbt is at the heart of the modern data stack. It’s the go-to solution for teams who want faster analytics, higher quality data, and the confidence that comes from transparent, testable transformations.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Redshift No 
Analytify AI No 
Apache Ossie No 
Azure Marketplace No 
Blotout No 
Collate No 
DQOps No 
Dagster No 
Flyte No 
Google Cloud BigQuery No 
Grok Bot No 
Grouparoo No 
Matia No 
Paradime No 
Secoda No 
Spresso No 
TROCCO No 
VeloDB No 
Zipher No 
nao No 

Integrations

Amazon Redshift Yes 
Analytify AI Yes 
Apache Ossie Yes 
Azure Marketplace Yes 
Blotout Yes 
Collate Yes 
DQOps Yes 
Dagster Yes 
Flyte Yes 
Google Cloud BigQuery Yes 
Grok Bot Yes 
Grouparoo Yes 
Matia Yes 
Paradime Yes 
Secoda Yes 
Spresso Yes 
TROCCO Yes 
VeloDB Yes 
Zipher Yes 
nao Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

$100 per user/ month
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Data Advantage Group

Website

www.dag.com/metacenter

Vendor Details

Company Name

dbt Labs

Founded

2016

Country

United States

Website

www.getdbt.com

Product Features

Big Data

Collaboration Yes 
Data Blends No 
Data Cleansing Yes 
Data Mining No 
Data Visualization No 
Data Warehousing No 
High Volume Processing No 
No-Code Sandbox No 
Predictive Analytics No 
Templates No 

Data Lineage

Database Change Impact Analysis Yes 
Filter Lineage Links Yes 
Implicit Connection Discovery No 
Lineage Object Filtering No 
Object Lineage Tracing No 
Point-in-Time Visibility No 
User/Client/Target Connection Visibility No 
Visual & Text Lineage View No 

Data Preparation

Collaboration Tools Yes 
Data Access No 
Data Blending Yes 
Data Cleansing Yes 
Data Governance No 
Data Mashup No 
Data Modeling No 
Data Transformation No 
Machine Learning No 
Visual User Interface No 

Data Quality

Address Validation No 
Data Deduplication No 
Data Discovery No 
Data Profililng No 
Master Data Management No 
Match & Merge No 
Metadata Management No 

ETL

Data Analysis No 
Data Filtering Yes 
Data Quality Control Yes 
Job Scheduling No 
Match & Merge No 
Metadata Management No 
Non-Relational Transformations No 
Version Control No 

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