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What is Patterns?

It is a much faster way to build and deploy data apps. It gets rid of repetitive grunt work when building and deploying data applications. It abstracts away the micro-management of computing, storage, orchestration, and visualization, letting you focus on your specific app’s logic.
Patterns is a tool in the Platform as a Service category of a tech stack.

Who uses Patterns?

Developers
10 developers on StackShare have stated that they use Patterns.

Patterns Integrations

Python, Slack, PostgreSQL, Markdown, and Google BigQuery are some of the popular tools that integrate with Patterns. Here's a list of all 5 tools that integrate with Patterns.

Jobs that mention Patterns as a desired skillset

CBRE
United States of America New York New York City
CBRE
United Kingdom of Great Britain and Northern Ireland England London
CBRE
United Kingdom of Great Britain and Northern Ireland England London
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Patterns's Features

  • Heroku for AI apps
  • Accelerate development with powerful building blocks
  • Fully defined by git-backable code and files
  • Production-grade infrastructure

Patterns Alternatives & Comparisons

What are some alternatives to Patterns?
Heroku
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.
Google App Engine
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.
Apache Camel
An open source Java framework that focuses on making integration easier and more accessible to developers.
Apollo
Build a universal GraphQL API on top of your existing REST APIs, so you can ship new application features fast without waiting on backend changes.
AWS Elastic Beanstalk
Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.
See all alternatives
Related Comparisons
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Patterns's Followers
10 developers follow Patterns to keep up with related blogs and decisions.