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Pros of FaunaDB
Pros of Prisma
  • 3
    Generous free tier
  • 2
    Also supports SQL, CQL
  • 2
    Removes server provisioning or maintenance
  • 2
    No more n+1 problems (+ GraphQL)
  • 2
    Works well with GraphQL
  • 2
    Low latency global CDN's
  • 2
    100% ACID
  • 9
    Type-safe database access
  • 8
    Open Source
  • 7
    Auto-generated query builder
  • 6
    Increases confidence during development
  • 4
    Built specifically for Postgres and TypeScript
  • 4
    Supports multible database systems
  • 4
    Productive application development
  • 0
    Supports multible RDBMSs
  • 0
    Robust migrations system

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Cons of FaunaDB
Cons of Prisma
  • 1
    Must keep app secrets encrypted
  • 1
    Log stack traces to avoid improper exception handling
  • 1
    Susceptible to DDoS (& others) use timeouts throttling
  • 1
    Doesn't support downward/back migrations

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What is FaunaDB?

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.

What is Prisma?

Prisma is an open-source database toolkit. It replaces traditional ORMs and makes database access easy with an auto-generated query builder for TypeScript & Node.js.

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What companies use FaunaDB?
What companies use Prisma?
See which teams inside your own company are using FaunaDB or Prisma.
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What tools integrate with FaunaDB?
What tools integrate with Prisma?

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What are some alternatives to FaunaDB and Prisma?
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.
It allows you to deploy a database on-prem, in the cloud or even across clouds, all as a single store. It is a simple and straightforward bridge to your future, cloud-based data architecture.
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 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.
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.
See all alternatives