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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

Begin by opening a straightforward link or utilize our client libraries equipped with batching capabilities. Monitor signups, response times, monthly recurring revenue, or any other relevant metrics, and showcase your findings on an aesthetically pleasing dashboard. Arrange your key performance indicators into personalized dashboards that offer an attractive TV mode view. You can also transmit extra data to explore variations across different categories. Seamlessly integrate with NodeJS and Go using our efficient and user-friendly libraries. All information is securely stored and available at a resolution of one minute. We maintain this one-minute resolution for the duration of your subscription. Encourage your team members to collaborate and enjoy the visually appealing dashboards together. We have meticulously designed the system to ensure rapid data loading. Additionally, we believe that data visualization should be engaging and attractive, which is why we put effort into making it visually appealing.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS Fargate Yes 
Amazon Kinesis Yes 
Apache Avro Yes 
Apache Flink Yes 
Apache Kafka Yes 
Apache Parquet Yes 
Confluent Yes 
Delta Lake Yes 
Docker Yes 
JSON Yes 
Kubernetes Yes 
PostgreSQL Yes 
Python Yes 
Redis Yes 
Rust Yes 
SQL Yes 

Integrations

AWS Fargate No 
Amazon Kinesis No 
Apache Avro No 
Apache Flink No 
Apache Kafka No 
Apache Parquet No 
Confluent No 
Delta Lake No 
Docker No 
JSON No 
Kubernetes No 
PostgreSQL No 
Python No 
Redis No 
Rust No 
SQL No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$19 per month
Free Trial No 
Free Version Yes 

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

Quickmetrics

Website

quickmetrics.io

Product Features

Data Visualization

Analytics No 
Content Management No 
Dashboard Creation No 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models No 
Visual Discovery No 

Alternatives

Alternatives

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