Frontbase VS EdgeDB

Compare Frontbase VS EdgeDB and see what are their differences

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Frontbase

FrontBase was created to fill the need for a robust and scalable relational database server that...

EdgeDB

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

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2023-10-10

Frontbase

Website: frontbase.com
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EdgeDB

Website: edgedb.com
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Frontbase features and specs

ACID Compliance
FrontBase adheres to ACID properties, ensuring reliable transactions and maintaining data integrity through successful commit and rollback procedures.
Cross-Platform Support
FrontBase can be operated on different operating systems like macOS, Windows, Linux, and Unix, offering flexibility for diverse deployment environments.
Unicode Support
FrontBase provides comprehensive Unicode support, allowing for the storing and processing of multilingual data efficiently.
High Performance
FrontBase is designed for high speed and efficiency, serving as a robust and scalable database solution suitable for handling extensive data volumes.
Data Integrity
Focus on maintaining data consistency and reliability by employing thorough transaction testing measures, safeguards, and recovery features.

Possible disadvantages of Frontbase

Limited Adoption
FrontBase lacks the extensive community and widespread use of more established database systems like MySQL or PostgreSQL, which might impact support and resource availability.
Proprietary Nature
As a proprietary database, FrontBase might present licensing costs and constraints compared to open-source databases.
Documentation and Community
Less extensive documentation and a smaller community can result in fewer online resources, making troubleshooting more reliant on official support channels.
Learning Curve
Users not familiar with FrontBase might encounter a steeper learning curve as compared to more commonly used databases.

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.

Frontbase videos

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EdgeDB videos

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

Category Popularity

0-100% (relative to Frontbase and EdgeDB)

Frontbase

EdgeDB

Databases

48 48%

Databases

52% 52

NoSQL Databases

49 49%

NoSQL Databases

51% 51

Network & Admin

51 51%

Network & Admin

49% 49

Relational Databases

45 45%

Relational Databases

55% 55

User comments

Share your experience with using Frontbase and EdgeDB. 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.

Frontbase mentions (0)

We have not tracked any mentions of Frontbase yet. Tracking of Frontbase recommendations started around Mar 2021.

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