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Fauna

106
153
+ 1
27
FoundationDB

33
79
+ 1
21
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FoundationDB vs FaunaDB: What are the differences?

Developers describe FoundationDB as "Multi-model database with particularly strong fault tolerance, performance, and operational ease". FoundationDB is a NoSQL database with a shared nothing architecture. Designed around a "core" ordered key-value database, additional features and data models are supplied in layers. The key-value database, as well as all layers, supports full, cross-key and cross-server ACID transactions. On the other hand, FaunaDB is detailed as "The database built for serverless, featuring native GraphQL". FaunaDB is a global serverless database that gives you ubiquitous, low latency access to app data, without sacrificing data correctness and scale. It eliminates layers of app code for manually handling data anomalies, security, and scale, creating a friendlier dev experience for you and better app experience for your users.

FoundationDB and FaunaDB belong to "Databases" category of the tech stack.

Some of the features offered by FoundationDB are:

  • Multiple data models
  • Full, multi-key ACID transactions
  • No locking

On the other hand, FaunaDB provides the following key features:

  • Native support for GraphQL and others. Easily access any data with any API. No middleware necessary.
  • Access all data via a data model that best suits your needs - relational, document, graph or composite.
  • A unique approach to indexing makes it simpler to write efficient queries that scale with your application.
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Pros of Fauna
Pros of FoundationDB
  • 5
    100% ACID
  • 4
    Generous free tier
  • 4
    Removes server provisioning or maintenance
  • 3
    Low latency global CDN's
  • 3
    No more n+1 problems (+ GraphQL)
  • 3
    Works well with GraphQL
  • 3
    Also supports SQL, CQL
  • 2
    No ORM layer needed
  • 6
    ACID transactions
  • 5
    Linear scalability
  • 3
    Multi-model database
  • 3
    Key-Value Store
  • 3
    Great Foundation
  • 1
    SQL Layer

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Cons of Fauna
Cons of FoundationDB
  • 1
    Susceptible to DDoS (& others) use timeouts throttling
  • 1
    Must keep app secrets encrypted
  • 1
    Log stack traces to avoid improper exception handling
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    What is Fauna?

    Escape the boundaries imposed by legacy databases with a data API that is simple to adopt, highly productive to use, and offers the capabilities that your business needs, without the operational pain typically associated with databases.

    What is FoundationDB?

    FoundationDB is a NoSQL database with a shared nothing architecture. Designed around a "core" ordered key-value database, additional features and data models are supplied in layers. The key-value database, as well as all layers, supports full, cross-key and cross-server ACID transactions.

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    What companies use Fauna?
    What companies use FoundationDB?
    See which teams inside your own company are using Fauna or FoundationDB.
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    What tools integrate with Fauna?
    What tools integrate with FoundationDB?
      No integrations found
      What are some alternatives to Fauna and FoundationDB?
      Firebase
      Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.
      CockroachDB
      CockroachDB is distributed SQL database that can be deployed in serverless, dedicated, or on-prem. Elastic scale, multi-active availability for resilience, and low latency performance.
      Cassandra
      Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
      MongoDB
      MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
      Hasura
      An open source GraphQL engine that deploys instant, realtime GraphQL APIs on any Postgres database.
      See all alternatives