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EdgeDB VS GraphQL Cache

Compare EdgeDB VS GraphQL Cache and see what are their differences

EdgeDB

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

Rating
0 reviews
Pricing
Open source
Alternatives Is it good?
GraphQL Cache

GraphQL provides a complete description of the data in your API, gives clients the power to ask for exactly what they need and nothing more, makes it easier to evolve APIs over time, and enables powerful developer tools.

Rating
0 reviews
Alternatives Is it good?
BusinessLOG SOC
A centralized log management and SIEM platform built for compliance, auditing, anomaly detection, and infrastructure visibility. sponsored

Which is more popular?

GraphQL Cache might be a bit more popular than EdgeDB. We know about 4 links to it since March 2021 and only 4 links to EdgeDB.

social mentions
4 vs 4
Databases popularity
84% vs 16%
alternatives listed
63 vs 8

Base details

Website, pricing, platforms and company facts side by side.

EdgeDB
GraphQL Cache
Website edgedb.com graphql.org
Pricing
Open source
—
Listed in
Network & Admin Databases NoSQL Databases Relational Databases +1
Databases NoSQL Databases Key-Value Database API +1

Features and specs

What each product offers, as listed by its team.

EdgeDB 5 features
GraphQL Cache 0 features
  • 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

  • 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.

No features have been listed yet.

Analysis

An editorial look at what each product does well and who it suits.

EdgeDB
GraphQL Cache

No analysis of EdgeDB yet.

Overall verdict

  • GraphQL is an excellent and mature query language for APIs, and its caching capabilities—while more nuanced than REST—are well-supported through client libraries and normalized caches that make it a solid choice for modern applications.

Why this product is good

  • Client-side normalized caching (via tools like Apollo Client and Relay) allows efficient data storage and retrieval by unique identifiers, reducing redundant network requests
  • Enables precise data fetching so clients only request and cache exactly the fields they need, minimizing over-fetching and cache bloat
  • Strong ecosystem support with well-documented caching strategies and persisted queries that can leverage HTTP and CDN caching
  • Automatic cache updates and consistency management keep UI data in sync after mutations
  • Backed by a large community and official documentation at graphql.org that clearly explains caching approaches

Recommended for

  • Applications with complex, nested data requirements where over-fetching is a concern
  • Teams building rich client-side apps using Apollo Client or Relay that benefit from normalized caching
  • Developers who need fine-grained control over what data is fetched and cached
  • Projects with multiple frontend clients (web, mobile) consuming the same flexible API
  • Organizations wanting to reduce network payloads and improve perceived performance through smart client caching

Videos

Walkthroughs and reviews on video.

EdgeDB 3 videos + Add
GraphQL Cache 0 videos + Add

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

More videos

  • - EdgeDB 2.0 Launch
  • - The architecture of EdgeDB — Fantix King | EdgeDB Day

No GraphQL Cache videos yet. You could help us improve this page by suggesting one.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
EdgeDB
GraphQL Cache
84% 84%
Databases
16% 16%
87% 87%
NoSQL Databases
13% 13%
0% 0%
API
100% 100%
100% 100%
Network & Admin
0% 0%

User comments

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

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

EdgeDB 4 mentions
GraphQL Cache 4 mentions
  • 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 / about 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 / about 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... - Source: Hacker News / over 3 years ago

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  • What are the Differences between GQL and REST?
    'id' data type and field to help support caching: https://graphql.org/learn/caching/. Source: over 3 years ago
  • GraphQL Is a Trap?
    > Take a look at this. I repeat: client-side caching is not a problem, even with GraphQL. The technical problems regarding GraphQL's blockers to caching lies in server-side caching. For server-side caching, the only answer that GraphQL... - Source: Hacker News / over 4 years ago
  • GraphQL Is a Trap?
    > Checkout Relay.js: https://relay.dev/ Relay is a GraphQL client. That's the irrelevant side of caching, because that can be trivially implemented by an intern, specially given GraphQL's official copout of caching based on primary... - Source: Hacker News / over 4 years ago

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Alternatives to EdgeDB and GraphQL Cache

When comparing EdgeDB and GraphQL Cache, you can also consider the following products.

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