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What is Arroyo?

Scale from zero to millions of events each second with Arroyo, which is provided as a single, efficient binary. It can be executed locally on MacOS or Linux for development needs and can be seamlessly deployed into production via Docker or Kubernetes. Arroyo offers a groundbreaking approach to stream processing that prioritizes the ease of real-time operations over conventional batch processing methods. Designed from the ground up, Arroyo enables anyone with a basic knowledge of SQL to construct reliable, efficient, and precise streaming pipelines. This capability allows data scientists and engineers to build robust real-time applications, models, and dashboards without requiring a specialized team focused on streaming. Users can easily perform operations such as transformations, filtering, aggregation, and data stream joining merely by writing SQL, achieving results in less than a second. Additionally, your streaming pipelines are insulated from triggering alerts simply due to Kubernetes deciding to reschedule your pods. With its ability to function in modern, elastic cloud environments, Arroyo caters to a range of setups from simple container runtimes like Fargate to large-scale distributed systems managed with Kubernetes. This adaptability makes Arroyo the perfect option for organizations aiming to refine their streaming data workflows, ensuring that they can efficiently handle the complexities of real-time data processing. Moreover, Arroyo’s user-friendly design helps organizations streamline their operations significantly, leading to an overall increase in productivity and innovation.

What is AWS Fargate?

AWS Fargate is a serverless compute engine specifically designed for containerized applications and is fully compatible with Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS). This service empowers developers to focus on building their applications rather than dealing with server management hassles. With Fargate, there is no need to provision or manage servers, as users can specify and pay for resources tailored to their application needs, while also benefiting from enhanced security due to its built-in application isolation features. Fargate automatically allocates the necessary compute resources, alleviating the stress of instance selection and cluster scaling management. Users are charged only for the resources consumed by their containers, which helps to avoid unnecessary costs linked to over-provisioning or maintaining excess servers. Each task or pod operates in its own dedicated kernel, providing isolated computing environments that ensure secure workload separation and bolster overall security, which is crucial for maintaining application integrity. By embracing Fargate, developers can not only streamline their development processes but also enhance operational efficiency and implement strong security protocols, ultimately resulting in a more effective and agile application lifecycle. Additionally, this flexibility allows teams to adapt quickly to changing requirements and scale their applications seamlessly.

Media

Media

Integrations Supported

Docker
AWS Fargate
Akto
Amazon Corretto
Amazon EKS
Amazon Elastic Container Service (Amazon ECS)
Amazon Elastic File System (EFS)
Amazon Web Services (AWS)
Apache Avro
Apache Flink
Artillery
Envoi
Fortem
JSON
Kubernetes
PostgreSQL
RapidFort
Redis
SQL

Integrations Supported

Docker
AWS Fargate
Akto
Amazon Corretto
Amazon EKS
Amazon Elastic Container Service (Amazon ECS)
Amazon Elastic File System (EFS)
Amazon Web Services (AWS)
Apache Avro
Apache Flink
Artillery
Envoi
Fortem
JSON
Kubernetes
PostgreSQL
RapidFort
Redis
SQL

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Arroyo

Company Location

United States

Company Website

www.arroyo.dev/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/fargate/

Categories and Features

Container Management

Access Control
Application Development
Automatic Scaling
Build Automation
Container Health Management
Container Storage
Deployment Automation
File Isolation
Hybrid Deployments
Network Isolation
Orchestration
Shared File Systems
Version Control
Virtualization

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