Compare SqlDBM and erwin Data Modeler 
At a Glance
Market Segments
Enterprise (52.9% of reviews)
Mid-Market (39.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
SqlDBM
Star Rating
(19)4.6 out of 5
Market Segments
Enterprise (52.9% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about SqlDBMerwin Data Modeler
Star Rating
(50)4.2 out of 5
Market Segments
Mid-Market (39.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about erwin Data ModelerSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that SqlDBM excels in user support, with many users praising its timeliness and responsiveness. This level of support is highlighted as a significant advantage, especially for teams needing quick assistance during their data modeling processes.
- Users say that erwin Data Modeler offers robust integration capabilities, which facilitate cross-functional collaboration. Reviewers appreciate its ability to manage metadata and track data lineage, making it a strong choice for organizations looking to centralize their data management efforts.
- According to verified reviews, SqlDBM is noted for its intuitive interface that simplifies the process of reverse engineering and diagram creation. Users find it easy to share models with end users, which enhances collaboration and communication within teams.
- Reviewers mention that erwin Data Modeler is particularly effective for creating visualizations of both logical and physical data models. Users highlight its capability to handle non-structured databases, making it a versatile tool for various data modeling needs.
- G2 reviewers indicate that while both products are user-friendly, SqlDBM has a slight edge in ease of setup. Users report that it becomes straightforward to use after initial familiarization, addressing common challenges in data modeling before development.
- Users highlight that erwin Data Modeler is a powerful tool for organizations with complex data requirements, particularly in enterprise settings. Its ability to connect with various databases, such as IBM DB2, allows for effective reverse engineering and forward engineering, which is crucial for maintaining data integrity.
Pricing
Entry-Level Pricing
SqlDBM
No pricing availableerwin Data Modeler
No pricing availableFree Trial
SqlDBM
No trial information availableerwin Data Modeler
No trial information availableRatings
Meets Requirements
8.8
16
8.5
23
Ease of Use
9.3
16
8.4
23
Ease of Setup
9.3
14
8.2
19
Ease of Admin
9.2
8
8.1
9
Quality of Support
9.6
16
8.6
23
Has the product been a good partner in doing business?
9.6
8
8.5
10
Product Direction (% positive)
10.0
16
7.9
22
Features by Category
Data Governance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Collaboration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Artificial Intelligence
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Machine Learning Data Catalog
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
Administration
Not enough data
Not enough data
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
Compliance
Not enough data
Not enough data
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 Quality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Maintainence
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Governance
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 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
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Model Capture & Design - Data Modelling
Not enough data
9.0
7
Not enough data
8.7
14
Not enough data
8.8
14
Platform Forward Engineering - Data Modelling
Not enough data
9.1
15
Not enough data
8.8
7
Platform Reverse Engineering - Data Modelling
Not enough data
8.7
10
Not enough data
8.9
14
Validation & Governance - Data Modelling
Not enough data
7.9
7
Not enough data
9.0
8
Documentation & Sharing - Data Modelling
Not enough data
8.3
10
Not enough data
8.8
7
Not enough data
8.3
7
Categories
Categories
Shared Categories
SqlDBM and erwin Data Modeler are categorized as Data Modeling
Unique Categories
SqlDBM has no unique categories
erwin Data Modeler is categorized as Active Metadata Management, Data Governance, and Machine Learning Data Catalog
Reviews
Reviewers' Company Size
SqlDBM
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
erwin Data Modeler
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
31.3%
Retail
18.8%
Computer & Network Security
12.5%
Consulting
6.3%
Sports
6.3%
Other
25.0%
Information Technology and Services
17.9%
Computer & Network Security
14.3%
Automotive
7.1%
Financial Services
7.1%
Consulting
7.1%
Other
46.4%
Discussions
SqlDBM has no discussions with answers
erwin Data Modeler has no discussions with answers
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