Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Nussknacker allows domain experts to use a visual tool that is low-code to help them create and execute real-time decisioning algorithm instead of writing code.
It is used to perform real-time actions on data: real-time marketing and fraud detection, Internet of Things customer 360, Machine Learning inferring, and Internet of Things customer 360.
A visual design tool for decision algorithm is an essential part of Nussknacker.
It allows non-technical users, such as analysts or business people, to define decision logic in a clear, concise, and easy-to-follow manner. With a click, scenarios can be deployed for execution once they have been created. They can be modified and redeployed whenever there is a need.
Nussknacker supports streaming and request-response processing modes. It uses Kafka as its primary interface in streaming mode. It supports both stateful processing and stateless processing.
API Access
Has API
Yes
API Access
Has API
No
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
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
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
0
open source with enterprise extensions
Free Trial
Yes
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
Nussknacker
Website
nussknacker.io
Product Features
Product Features
Low-Code Development
AI-Assisted Development
No
Business Process Automation
Yes
Collaborative Development
No
Data Aggregation and Publishing
No
Deployment Management
Yes
Drag & Drop
Yes
Integrations Management
No
Iteration Management
No
Performance Monitoring
Yes
Requirements Management
No
Templates
No
Visual Modeling
No
Web / Mobile App Development
No
Workflow Management
No