Software Alternatives, Accelerators & Startups

EdgeDB VS GraphQL Cache

Compare EdgeDB VS GraphQL Cache and see what are their differences

EdgeDB logo EdgeDB

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

GraphQL Cache logo 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.
  • EdgeDB Landing page
    Landing page //
    2023-10-10
  • GraphQL Cache Landing page
    Landing page //
    2023-08-29

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.

GraphQL Cache features and specs

No features have been listed yet.

Analysis of GraphQL Cache

Overall verdict

  • GraphQL is an excellent and mature query language for APIs, and its caching capabilitiesโ€”while more nuanced than RESTโ€”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

EdgeDB videos

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

More videos:

  • Review - EdgeDB 2.0 Launch
  • Review - The architecture of EdgeDB โ€”ย Fantix King | EdgeDB Day

GraphQL Cache videos

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

Add video

Category Popularity

0-100% (relative to EdgeDB and GraphQL Cache)
Databases
84 84%
16% 16
NoSQL Databases
87 87%
13% 13
API
0 0%
100% 100
Network & Admin
100 100%
0% 0

User comments

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Social recommendations and mentions

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. 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 โ€œnaiveโ€ 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 โ€œSELECT * FROM tbl_subquery WHERE id = ?โ€ operations and convert them... - Source: Hacker News / over 4 years ago

GraphQL Cache mentions (4)

  • 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 offers is to use primary keys, hand-wave a lot, and hope that your GraphQL implementation did some sort of optimization to handle that corner case by caching results. Don't take my... - 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 keys [1], and doesn't have any meaningful impact on the client's resources. The relevant side of caching is server-side caching: the bits of your system that allow it to fulfill... - Source: Hacker News / over 4 years ago
  • Designing a URL-based query syntax for GraphQL
    This is clever! Can anyone help me understand how this lines up with the original value proposition of GraphQL? I was under the impression that the Big Idea behind GraphQL was, amongst other things, client-side caching[1]. Iโ€™m probably missing some nuance here, so bear with me: if your GraphQL client is caching properly, then what would this syntax give a developer that a URL query parameter parser couldnโ€™t? [1]... - Source: Hacker News / about 5 years ago

What are some alternatives?

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

Datomic - The fully transactional, cloud-ready, distributed database

ZeroSSL - FREE SSL certificates issued instantly online with Free SSL Certificate Wizard.

MarkLogic Server - MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities.

Let's Encrypt - Letโ€™sย Encrypt is a free, automated, and open certificate authority brought to you by the Internet Security Research Group (ISRG).

Valentina Server - Valentina Server is 3 in 1: Valentina DB Server / SQLite Server / Report Server

Ehcache - Java's most widely used cache.