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

NORMLZ is a tool designed for data normalization that effectively standardizes and rectifies inconsistent data within HubSpot. This software tackles the difficulties posed by large datasets where differing data formats can obstruct analysis, lead to ineffective campaigns resulting in potential revenue loss, and complicate reporting. It seamlessly integrates with your HubSpot account, and there are plans to extend support to Salesforce and Apollo in the future. The engine proficiently identifies and harmonizes variations, transforming entries like "CEO," "C.E.O," and "Chief Executive Officer" into a unified format. Additionally, it consolidates location information such as "New York," "NYC," and "New York City," while ensuring consistency in company names like "IBM Corp" and "IBM Corporation." With NORMLZ, users can enhance their data quality, leading to more accurate insights and improved decision-making.

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

No images available

Screenshots View All

Integrations

Analytify AI No 
Apache Ossie No 
Azure Marketplace No 
Blotout No 
Braight No 
Cake AI No 
Cargo No 
DataHub No 
Decube No 
GetDot.ai No 
Google Cloud BigQuery No 
Hex No 
OpenMetadata No 
Openbridge No 
Orchestra No 
PopSQL No 
Sifflet No 
Snowflake No 
Spresso No 
Stonebranch No 

Integrations

Analytify AI Yes 
Apache Ossie Yes 
Azure Marketplace Yes 
Blotout Yes 
Braight Yes 
Cake AI Yes 
Cargo Yes 
DataHub Yes 
Decube Yes 
GetDot.ai Yes 
Google Cloud BigQuery Yes 
Hex Yes 
OpenMetadata Yes 
Openbridge Yes 
Orchestra Yes 
PopSQL Yes 
Sifflet Yes 
Snowflake Yes 
Spresso Yes 
Stonebranch Yes 

Pricing Details

$5/month
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 No 
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 No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

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

Vendor Details

Company Name

HubProsper

Founded

2025

Website

normlz.com

Vendor Details

Company Name

dbt Labs

Founded

2016

Country

United States

Website

www.getdbt.com

Product Features

Data Quality

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

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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