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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Scale from zero to millions of events per second effortlessly. Arroyo is delivered as a single, compact binary, allowing for local development on MacOS or Linux, and seamless deployment to production environments using Docker or Kubernetes. As a pioneering stream processing engine, Arroyo has been specifically designed to simplify real-time processing, making it more accessible than traditional batch processing. Its architecture empowers anyone with SQL knowledge to create dependable, efficient, and accurate streaming pipelines. Data scientists and engineers can independently develop comprehensive real-time applications, models, and dashboards without needing a specialized team of streaming professionals. By employing SQL, users can transform, filter, aggregate, and join data streams, all while achieving sub-second response times. Your streaming pipelines should remain stable and not trigger alerts simply because Kubernetes has chosen to reschedule your pods. Built for modern, elastic cloud infrastructures, Arroyo supports everything from straightforward container runtimes like Fargate to complex, distributed setups on Kubernetes, ensuring versatility and robust performance across various environments. This innovative approach to stream processing significantly enhances the ability to manage data flows in real-time applications.

Description

The CLI tool integrates Git, Docker, Helm, and Kubernetes with any CI system to facilitate CI/CD and Giterminism. By leveraging established technologies, you can create efficient, reliable, and cohesive CI/CD pipelines. Werf simplifies the process of getting started, allowing users to implement best practices without the need to start from scratch. Not only does Werf build and deploy applications, but it also ensures that the current state of Kubernetes is continually synchronized with any changes made in Git. This tool pioneers Giterminism, using Git as a definitive source of truth and making the entire delivery process predictable and repeatable. With Werf, users have two deployment options: either converge the application from a Git commit into Kubernetes or publish the application from a Git commit to a container registry as a bundle before deploying it to Kubernetes. The setup for Werf is straightforward, requiring minimal configuration, making it accessible even to those without a background in DevOps or SRE. To assist users further, a variety of guides are available to help you deploy your application in Kubernetes quickly and effectively, enhancing the overall user experience.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Docker Yes 
Kubernetes Yes 
Amazon Kinesis Yes 
Apache Avro Yes 
Apache Flink Yes 
Apache Kafka Yes 
Apache Parquet Yes 
CircleCI No 
Confluent Yes 
Delta Lake Yes 
Git No 
GitHub No 
Helm No 
JSON Yes 
Jenkins No 
PostgreSQL Yes 
Python Yes 
Redis Yes 
Rust Yes 
SQL Yes 

Integrations

Docker Yes 
Kubernetes Yes 
Amazon Kinesis No 
Apache Avro No 
Apache Flink No 
Apache Kafka No 
Apache Parquet No 
CircleCI Yes 
Confluent No 
Delta Lake No 
Git Yes 
GitHub Yes 
Helm Yes 
JSON No 
Jenkins Yes 
PostgreSQL No 
Python No 
Redis No 
Rust No 
SQL No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Arroyo

Country

United States

Website

www.arroyo.dev/

Vendor Details

Company Name

Werf

Country

United States

Website

werf.io

Product Features

Continuous Delivery

Application Lifecycle Management No 
Application Release Automation No 
Build Automation No 
Build Log No 
Change Management No 
Configuration Management No 
Continuous Deployment No 
Continuous Integration No 
Feature Toggles / Feature Flags No 
Quality Management No 
Testing Management No 

Alternatives

Alternatives