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An open source GraphQL engine that deploys instant, realtime GraphQL APIs on any Postgres database. | 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. |
Stack-agnostic; Cloud-agnostic; Git push to deploy; Pre-configured API Gateway; Instant GraphQL or JSON APIs; Out-of-the-box Auth APIs with UI Kits; Filestore APIs with access control; Deploy custom code | 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.;
Build SaaS apps more easily with native multi-tenancy and query-level QoS controls to prevent workload collisions.;
Eliminate data anomalies with multi-region ACID transactions that don't limit number of keys or documents.;
Data-driven RBAC that combines with SSL to offers reliable protection, and yet is simple to understand and codify.;
Travel back in time with temporal querying. Run queries at a point-in-time or as change feeds. Track how your data evolved.;
Dynamically replicates your data to global locations, so that your queries run fast no matter where your users are.;
Easily deploy a FaunaDB cluster on your workstation accompanied by a powerful shell and tools to simplify your workflow.;
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Statistics | |
GitHub Stars 31.8K | GitHub Stars - |
GitHub Forks 2.8K | GitHub Forks - |
Stacks 343 | Stacks 112 |
Followers 634 | Followers 153 |
Votes 144 | Votes 27 |
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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.

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.

Clever Cloud is a polyglot cloud application platform. The service helps developers to build applications with many languages and services, with auto-scaling features and a true pay-as-you-go pricing model.

Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.

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.