EdgeDB VS Microsoft SQL

Compare EdgeDB VS Microsoft SQL and see what are their differences

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EdgeDB

EdgeDB is a next-generation graph-relational database that lets you easily build flexible, scalable applications in real-time.

Microsoft SQL

Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.

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2023-10-10

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2023-01-26

EdgeDB

Website: edgedb.com
$ Details

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Microsoft SQL

Website: microsoft.com
$ Details: -
Startup details
Country: United States

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EdgeDB features and specs

Graph-Relational Model
EdgeDB combines the features of relational and graph databases, allowing for complex queries and relationships while maintaining data integrity typical in relational databases.
Advanced Query Language (EdgeQL)
EdgeQL offers a more intuitive and expressive query syntax compared to traditional SQL, facilitating easier and more efficient data retrieval.
Schema Evolution
EdgeDB provides robust tools for schema migrations and versioning, making it easier to evolve the database schema without downtime or data loss.
Type Safety
With its strong typing system, EdgeDB reduces runtime errors by ensuring data type consistency across the database operations.
Integrated Indexing and Constraints
EdgeDB supports advanced indexing and constraints, improving query performance and maintaining data integrity natively.

Possible disadvantages of EdgeDB

Relative Newness
Being relatively new in the market, EdgeDB might lack extensive community support and third-party integrations compared to more established databases.
Learning Curve
Technicians accustomed to traditional SQL or other database paradigms might face a learning curve when adapting to EdgeDB's unique features and query language.
Limited Ecosystem
EdgeDB's ecosystem, including tooling, documentation, and community resources, is less mature compared to other well-established database systems.
Potential for Rapid Changes
As a developing technology, EdgeDB may undergo rapid changes and updates, which may lead to instability or additional maintenance overhead.
Hosting and Compatibility Concerns
Deploying EdgeDB might have specific hosting requirements, and compatibility with existing infrastructure could be a concern for some users.

Microsoft SQL features and specs

Comprehensive Feature Set
SQL Server offers a wide range of features including advanced analytics, in-memory capabilities, robust security measures, and integration services.
High Performance
With in-memory OLTP and support for persistent memory technologies, SQL Server provides high transaction and query performance.
Scalability
SQL Server can scale from small installations on single machines to large, data-intensive applications requiring high throughput and storage.
Security
SQL Server offers advanced security features like encryption, dynamic data masking, and advanced threat protection, ensuring data safety and compliance.
Integrations
It easily integrates with other Microsoft products such as Azure, Power BI, and Active Directory, providing a cohesive ecosystem for enterprise solutions.
Developer Friendly
It supports a wide range of development tools and languages including .NET, Python, Java, and more, making it highly versatile for developers.
High Availability
Features like Always On availability groups and failover clustering provide high availability and disaster recovery options for critical applications.

Possible disadvantages of Microsoft SQL

Cost
SQL Server can be expensive, particularly for the Enterprise edition. Licensing costs can add up quickly depending on the features and scale required.
Complexity
Due to its comprehensive feature set, SQL Server can be complex to configure and manage, requiring skilled administrators and developers.
Resource Intensive
SQL Server can be resource-intensive, requiring substantial hardware resources for optimal performance, which can increase overall operational costs.
Windows-Centric
While SQL Server can run on Linux, it is primarily optimized for and tightly integrated with the Windows ecosystem, which may not suit all organizations.
Vendor Lock-In
Being a proprietary solution, it can cause vendor lock-in, making it challenging to switch to alternative database systems without significant migration efforts.

Analysis of Microsoft SQL

Overall verdict

Yes, Microsoft SQL Server is generally regarded as a good choice for database management, particularly for organizations that require high performance, reliability, and seamless integration with other Microsoft technologies.

Why this product is good

Microsoft SQL Server is considered a robust database management system because of its comprehensive features such as high scalability, strong security, and excellent integration with other Microsoft products. It provides tools for data mining, warehousing, and analytics, making it a popular choice for enterprises. Additionally, it offers high availability and disaster recovery solutions, and its active community provides extensive support and resources.

Recommended for

Enterprises
Businesses using Microsoft ecosystems
Organizations requiring robust data security
Users needing scalability for large datasets
Projects needing high availability and disaster recovery

EdgeDB videos

+ Add

Checking out EdgeDB - The Developer Database (Better than Prisma ORM?!)

Microsoft SQL videos

+ Add

3.1 Microsoft SQL Server Review

Category Popularity

0-100% (relative to EdgeDB and Microsoft SQL)

Microsoft SQL

Databases

11 11%

Databases

89% 89

NoSQL Databases

100 100%

NoSQL Databases

0% 0

Relational Databases

3 3%

Relational Databases

97% 97

Network & Admin

100 100%

Network & Admin

0% 0

User comments

Share your experience with using EdgeDB and Microsoft SQL. For example, how are they different and which one is better?

Social recommendations and mentions

Based on our record, EdgeDB seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

EdgeDB mentions (4)

Beyond SQL: A relational database for modern applications
A new DB, with a new query language that's like "SQL done right"? This immediately reminded me of EdgeDB: https://edgedb.com/ Is there anyone here who knows enough about these two products to do a compare/contrast? - Source: Hacker News / almost 3 years ago
Beyond SQL: A relational database for modern applications
See also https://edgedb.com/ which is another relational database without sql. - Source: Hacker News / almost 3 years ago
DuckDB 0.8.0
>relational no-sql Do you mean something like edgeDB?[0] Or do you mean some non-declarative language completely? I don't see the latter making much sense. The issue with SQL for me is the "natural language" which quickly loses all intended readabilty when you have SELECT col1, col2 FROM (SELECT * FROM ... WHERE 1=0 AND ... Which is what edgeDB is trying to solve. [0]https://edgedb.com/. - Source: Hacker News / about 3 years ago
GraphQL Is a Trap?
You have to do your own optimiser to avoid, for instance, the N+1 query problem. (Just Google that, plenty of explanations around.) Many GraphQL frameworks have a “naive” subquery implementation that performs N individual subqueries. You either have to override this for each parent/child pairing, or bolt something on the back to delay all the “SELECT * FROM tbl_subquery WHERE id = ?” operations and convert them... - Source: Hacker News / about 4 years ago