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What is Nussknacker?

Nussknacker provides domain specialists with a low-code visual platform that enables them to design and implement real-time decision-making algorithms without the need for traditional coding. This tool facilitates immediate actions on data, allowing for applications such as real-time marketing strategies, fraud detection, and comprehensive insights into customer behavior in the Internet of Things. A key feature of Nussknacker is its visual design interface for crafting decision algorithms, which empowers non-technical personnel, including analysts and business leaders, to articulate decision-making logic in a straightforward and understandable way. Once created, these scenarios can be easily deployed with a single click and modified as necessary, ensuring flexibility in execution. Additionally, Nussknacker accommodates both streaming and request-response processing modes, utilizing Kafka as its core interface for streaming operations, while also supporting both stateful and stateless processing capabilities to meet various data handling needs. This versatility makes Nussknacker a valuable tool for organizations aiming to enhance their decision-making processes through real-time data interactions.

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.

Media

Media

Integrations Supported

Integrations Supported

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

API Availability

API Availability

Has API

Pricing Information

0
open source with enterprise extensions
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Nussknacker

Company Website

nussknacker.io

Company Facts

Organization Name

Arroyo

Company Location

United States

Company Website

www.arroyo.dev/

Categories and Features

Low-Code Development

Business Process Automation
Deployment Management
Drag & Drop
Performance Monitoring

Categories and Features

Popular Alternatives

Popular Alternatives

Apache Kafka Reviews & Ratings

Apache Kafka

The Apache Software Foundation
5.0 out of 5 stars