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Compare Microsoft SQL Server and Prefect 
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At a Glance
Market Segments
Enterprise (45.5% of reviews)
Small-Business (42.3% of reviews)
Entry-Level Pricing
No pricing available
Pay As You Go Per Month
Microsoft SQL Server
Star Rating
(2,252)4.4 out of 5
Market Segments
Enterprise (45.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Microsoft SQL ServerPrefect
Star Rating
(124)4.5 out of 5
Market Segments
Small-Business (42.3% of reviews)
Pros & Cons
Entry-Level Pricing
Pay As You Go Per Month
Browse all 2 pricing plansMicrosoft SQL Server vs Prefect
When assessing the two solutions, reviewers found Microsoft SQL Server easier to use. However, reviewers felt that Prefect was easier to administer and do business with overall. Finally, reviewers felt that the products are equally easy to set up.
- Microsoft SQL Server and Prefect both meet the requirements of our reviewers at a comparable rate.
- When comparing quality of ongoing product support, reviewers felt that Prefect is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Prefect over Microsoft SQL Server.
Pricing
Entry-Level Pricing
Microsoft SQL Server
No pricing availablePrefect
Prefect Cloud
Pay As You Go
Per Month
Prefer the open source Prefect framework with Prefect Cloud to power up your dataflows. Let us take care of the orchestration and enable collaboration, teams, security controls and more.
- Managed orchestration-as-a-service
- Collaboration Tools
- Enhanced UI
Free Trial
Microsoft SQL Server
No trial information availablePrefect
Free Trial is available
Ratings
Meets Requirements
9.0
1,849
9.0
116
Ease of Use
8.6
1,865
8.4
118
Ease of Setup
8.1
986
8.1
42
Ease of Admin
8.3
947
8.8
39
Quality of Support
8.3
1,643
8.6
93
Has the product been a good partner in doing business?
8.4
897
8.9
32
Product Direction (% positive)
8.4
1,820
9.4
120
Features by Category
Automation
Not enough data
8.8
105
Not enough data
8.7
106
Not enough data
7.9
103
Administration
Not enough data
8.1
106
Not enough data
8.7
106
Not enough data
7.8
104
Not enough data
8.2
101
Not enough data
7.8
103
Not enough data
8.1
103
Functionality
Not enough data
9.1
105
Not enough data
8.4
104
Not enough data
8.2
103
Agentic AI - Workload Automation
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
Functionality
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
Management
8.9
151
Not enough data
8.9
151
Not enough data
9.2
156
Not enough data
8.9
151
Not enough data
8.9
153
Not enough data
Maintenance
8.9
151
Not enough data
9.0
156
Not enough data
9.0
152
Not enough data
Security
8.9
150
Not enough data
9.1
152
Not enough data
Management
9.1
149
Not enough data
9.2
150
Not enough data
8.8
136
Not enough data
8.9
142
Not enough data
Support
8.6
145
Not enough data
9.0
149
Not enough data
8.7
144
Not enough data
8.4
148
Not enough data
Security
8.9
148
Not enough data
9.0
148
Not enough data
8.9
145
Not enough data
9.0
148
Not enough data
Performance
8.7
144
Not enough data
8.8
141
Not enough data
8.8
147
Not enough data
8.7
145
Not enough data
8.8
146
Not enough data
Database Features
8.9
1284
Not enough data
9.0
1289
Not enough data
8.9
1296
Not enough data
8.7
1263
Not enough data
8.8
1265
Not enough data
8.8
1271
Not enough data
9.1
1291
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
Agentic AI - DataOps Platforms
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
Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Monitoring and Management
Not enough data
Not enough data
Not enough data
Not enough data
Cloud Deployment
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
Database
8.5
56
Not enough data
8.8
57
Not enough data
8.4
54
Not enough data
Integrations
7.8
45
Not enough data
8.2
45
Not enough data
Platform
8.2
50
Not enough data
8.5
53
Not enough data
8.2
45
Not enough data
Processing
8.5
52
Not enough data
8.5
55
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
Categories
Categories
Shared Categories
Microsoft SQL Server and Prefect are categorized as Big Data Processing and Distribution
Unique Categories
Microsoft SQL Server is categorized as Relational Databases, Database Management Systems (DBMS), and On-Premise Data Integration
Prefect is categorized as DataOps Platforms, Batch Management, Workload Automation, and Container Orchestration
Reviews
Reviewers' Company Size
Microsoft SQL Server
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Prefect
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
Information Technology and Services
24.2%
Computer Software
13.7%
Hospital & Health Care
5.4%
Financial Services
4.2%
Higher Education
2.9%
Other
49.6%
Information Technology and Services
14.6%
Computer Software
13.8%
Financial Services
11.4%
Insurance
5.7%
Health, Wellness and Fitness
4.9%
Other
49.6%
Alternatives
Discussions
How could I make much easier the experience with the order of my database?
4 Comments
AF
You can create different tables with your employee information eg employee table, employee roles etc. Then you can create a single view that will pull data...Read more
What is the best way to save your queries?
4 Comments
CA
I recommend that you use the saved querys in plain text or .sql or txt format you can use the same sql server query creator or a notepad +++ tool, they are...Read more
How can I work on the same query if the connection is lost (timeout) and then I reconnect?
4 Comments
JE
When this happens to me in SQL Server Management Studio, I just have to type USE {your database name here} and then select only that statement and execute...Read more
What is Prefect used for?
1 Comment
CR
Prefect is a workflow orchestration tool empowering developers to build, observe, and react to data pipelines. With Prefect, control and observe: 1. What...Read more
Prefect has no more discussions with answers
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