Compare Hevo Data and dbt 
Featured Products
At a Glance
Market Segments
Mid-Market (47.8% of reviews)
Mid-Market (57.4% of reviews)
Entry-Level Pricing
$0.00
No pricing available
Hevo Data
Star Rating
(276)4.4 out of 5
Market Segments
Mid-Market (47.8% of reviews)
Pros & Cons
Entry-Level Pricing
$0.00
Free Trial is available
Browse all 4 pricing plansdbt
Star Rating
(198)4.7 out of 5
Market Segments
Mid-Market (57.4% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about dbtSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Hevo Data excels in its user-friendly interface, allowing teams to manage data efficiently without requiring coding skills. Users appreciate the tool's extensive library of over 150 pre-built connectors, which facilitates seamless data flow and automation of data pipelines.
- Users say that dbt stands out for its structured approach to data transformation, making it easy to integrate with tools like BigQuery. Reviewers highlight its ability to automate the creation of data models, which enhances trust in the accuracy of KPIs and overall data integrity.
- According to verified reviews, Hevo Data is praised for its quick setup process, with users noting that the intuitive onboarding experience allows for rapid implementation without significant delays. This is particularly beneficial for teams looking to get started with data management swiftly.
- Reviewers mention that dbt provides a collaborative environment for data teams, facilitating teamwork and integration with version control tools. This collaborative aspect is seen as a major advantage, especially for organizations that prioritize teamwork in their data workflows.
- G2 reviewers highlight that Hevo Data's automation capabilities significantly reduce the need for engineering involvement, allowing business teams to access reliable, up-to-date data independently. This feature is particularly valuable for organizations that require timely insights without technical bottlenecks.
- Users report that while both tools are effective, dbt's focus on transformation and automation gives it a slight edge in terms of scalability and meeting complex data requirements. Reviewers appreciate the thorough testing of transformation logic, which instills confidence in the data being utilized for decision-making.
Pricing
Entry-Level Pricing
Hevo Data
Free
$0.00
For reliably moving minimal amounts of data from SaaS tools. Upto 1M events/month.
- 1-hour scheduling
- Up to 5 users
dbt
No pricing availableFree Trial
Hevo Data
Free Trial is available
dbt
Free Trial is available
Ratings
Meets Requirements
8.5
204
9.2
146
Ease of Use
8.9
206
9.0
148
Ease of Setup
9.0
150
8.6
87
Ease of Admin
8.7
116
8.5
59
Quality of Support
9.0
204
8.9
117
Has the product been a good partner in doing business?
8.9
116
8.6
53
Product Direction (% positive)
9.1
188
9.6
133
Features by Category
Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Self Service
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Source Access
Not enough data
8.8
47
Not enough data
9.2
50
Not enough data
8.6
41
Data Interaction
Not enough data
8.3
40
Not enough data
8.5
44
Not enough data
9.0
50
Not enough data
9.1
48
Not enough data
9.1
42
Not enough data
9.4
48
Not enough data
8.7
47
Not enough data
8.7
45
Data Exporting
Not enough data
8.5
41
Not enough data
8.7
44
Not enough data
9.1
45
Generative AI
Not enough data
6.5
27
Functionality
8.3
76
Not enough data
8.4
79
Not enough data
8.3
71
Not enough data
8.1
73
Not enough data
8.5
77
Not enough data
7.6
66
Not enough data
Diverse Extraction Points
8.3
76
Not enough data
Management
Feature Not Available
Feature Not Available
8.1
86
8.2
37
Functionality
9.1
117
Feature Not Available
8.5
108
9.3
45
8.9
116
Feature Not Available
8.8
113
9.5
40
8.5
111
9.2
37
Management
8.1
54
Not enough data
8.3
61
Not enough data
8.5
61
Not enough data
8.3
62
Not enough data
Solution Provision
7.8
42
Not enough data
7.7
56
Not enough data
8.3
44
Not enough data
Development
8.9
29
Not enough data
7.5
25
Not enough data
Management
7.9
29
Not enough data
7.8
30
Not enough data
Integration Options
7.5
19
Not enough data
8.1
19
Not enough data
7.9
21
Not enough data
7.0
17
Not enough data
Data Management
Not enough data
9.2
50
Not enough data
9.1
52
Not enough data
9.1
49
Not enough data
9.3
49
Agentic AI - DataOps Platforms
Not enough data
7.5
8
Not enough data
7.4
7
Not enough data
8.1
9
Not enough data
8.1
9
Not enough data
8.3
8
Analytics
Not enough data
8.8
48
Not enough data
7.3
34
Monitoring and Management
Not enough data
8.7
43
Not enough data
8.9
51
Cloud Deployment
Not enough data
8.7
37
Not enough data
8.8
29
Generative AI
Not enough data
5.7
12
Not enough data
6.0
12
Automation
Not enough data
8.8
34
Not enough data
8.3
32
Not enough data
8.6
35
Not enough data
Feature Not Available
Functionality
Not enough data
8.6
34
Not enough data
8.6
34
Not enough data
8.4
34
Administration
Not enough data
8.4
37
Not enough data
8.9
34
Not enough data
9.1
35
Agentic AI - Data Warehouse Automation
Not enough data
Not enough data
Data Management
9.4
8
Not enough data
9.4
8
Not enough data
9.2
10
Not enough data
8.9
11
Not enough data
9.3
9
Not enough data
Functionality
8.0
9
Not enough data
9.6
8
Not enough data
9.0
10
Not enough data
9.2
10
Not enough data
9.3
9
Not enough data
9.5
11
Not enough data
8.8
8
Not enough data
Security
9.3
9
Not enough data
9.1
9
Not enough data
Generative AI
Not enough data
Not enough data
Deployment & Integration - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Data Connectivity & Federation - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling & Metrics - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Performance Optimization - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Governance - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Intelligence - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Enablement - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Reporting
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Transformation
Not enough data
8.5
32
Not enough data
9.4
39
Connectivity
Not enough data
8.4
27
Not enough data
8.6
28
Not enough data
8.5
34
Not enough data
8.9
31
Operations
Not enough data
Feature Not Available
Not enough data
9.3
38
Not enough data
8.6
30
Not enough data
8.7
30
Not enough data
8.6
30
Functionality
Not enough data
8.7
39
Not enough data
8.3
36
Not enough data
8.7
40
Not enough data
8.2
38
Not enough data
8.4
38
Management
Not enough data
8.5
40
Not enough data
9.3
42
Not enough data
8.8
36
Not enough data
8.1
39
Not enough data
8.3
41
Generative AI
Not enough data
6.2
19
Not enough data
6.6
19
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Hevo Data and dbt are categorized as ETL Tools
Unique Categories
Hevo Data is categorized as Data Replication, Data Extraction, E-Commerce Data Integration, and Reverse ETL
dbt is categorized as Big Data Analytics, Big Data Integration Platforms, Data Preparation, Data Quality, Data Warehouse Automation, DataOps Platforms, and Semantic Layer Tools
Reviews
Reviewers' Company Size
Hevo Data
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
dbt
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
14.8%
Information Technology and Services
11.9%
Financial Services
11.1%
Retail
6.7%
Health, Wellness and Fitness
5.2%
Other
50.4%
Information Technology and Services
19.5%
Computer Software
16.4%
Financial Services
10.3%
Retail
4.6%
Marketing and Advertising
4.6%
Other
44.6%
Discussions
How do I integrate Shopify as a source since private apps have been moved on Shopify?
1 Comment
DK
Hi Girolamo,
Using Hevo, it's very simple to integrate data from your Shopify apps to your database/data warehouse and an automated, near real-time pipeline...Read more
What does Hevo data do?
1 Comment
JW
Hevo facilitates moving, and possibly transforming data, from one source to another. You specify a data source from a wide range of applications/databases...Read more
What is DBT data Modelling?
2 Comments
TH
dbt data modeling is not a thing. Dbt is a transformation tool that makes it easier to implement data modeling techniques like snowflake, data vault etc. Read more
What is DBT database tool?
1 Comment
SY
DBT (DataBase Transformations) uses SQL select statements, with some added magic from Jinja templating language, to model and transform data. It's a highly...Read more
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