Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • groundcover Reviews & Ratings
    32 Ratings
    Company Website
  • Couchbase Reviews & Ratings
    414 Ratings
    Company Website
  • RaimaDB Reviews & Ratings
    12 Ratings
    Company Website
  • JS7 JobScheduler Reviews & Ratings
    1 Rating
    Company Website
  • Google Cloud BigQuery Reviews & Ratings
    2,018 Ratings
    Company Website
  • MongoDB Atlas Reviews & Ratings
    1,652 Ratings
    Company Website
  • Kasm Workspaces Reviews & Ratings
    127 Ratings
    Company Website
  • Hotspot Shield Reviews & Ratings
    121 Ratings
    Company Website
  • Wiz Reviews & Ratings
    1,452 Ratings
    Company Website
  • 3Q Reviews & Ratings
    14 Ratings
    Company Website

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 Amazon Kinesis?

Seamlessly collect, manage, and analyze video and data streams in real time with ease. Amazon Kinesis streamlines the process of gathering, processing, and evaluating streaming data, empowering users to swiftly derive meaningful insights and react to new information without hesitation. Featuring essential capabilities, Amazon Kinesis offers a budget-friendly solution for managing streaming data at any scale, while allowing for the flexibility to choose the best tools suited to your application's specific requirements. You can leverage Amazon Kinesis to capture a variety of real-time data formats, such as video, audio, application logs, website clickstreams, and IoT telemetry data, for purposes ranging from machine learning to comprehensive analytics. This platform facilitates immediate processing and analysis of incoming data, removing the necessity to wait for full data acquisition before initiating the analysis phase. Additionally, Amazon Kinesis enables rapid ingestion, buffering, and processing of streaming data, allowing you to reveal insights in a matter of seconds or minutes, rather than enduring long waits of hours or days. The capacity to quickly respond to live data significantly improves decision-making and boosts operational efficiency across a multitude of sectors. Moreover, the integration of real-time data processing fosters innovation and adaptability, positioning organizations to thrive in an increasingly data-driven environment.

Media

Media

Integrations Supported

AWS Connected Vehicle Solution
AWS Fargate
Amazon SageMaker Feature Store
Blotout
Centreon
Confluent
Delta Lake
Docker
Logstash
MetaRouter
OpenDQ
OpenSnowcat
PubNub
Rocket Data Replicate & Sync
Sibros
StarTree
StreamFlux
Syncari
Vendia
lakeFS

Integrations Supported

AWS Connected Vehicle Solution
AWS Fargate
Amazon SageMaker Feature Store
Blotout
Centreon
Confluent
Delta Lake
Docker
Logstash
MetaRouter
OpenDQ
OpenSnowcat
PubNub
Rocket Data Replicate & Sync
Sibros
StarTree
StreamFlux
Syncari
Vendia
lakeFS

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/kinesis/

Categories and Features

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

Popular Alternatives

Popular Alternatives

AWS IoT Reviews & Ratings

AWS IoT

Amazon
Amazon EMR Reviews & Ratings

Amazon EMR

Amazon