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Average Ratings 0 Ratings

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ease
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

IBM Event Streams is a comprehensive event streaming service based on Apache Kafka, aimed at assisting businesses in managing and reacting to real-time data flows. It offers features such as machine learning integration, high availability, and secure deployment in the cloud, empowering organizations to develop smart applications that respond to events in real time. The platform is designed to accommodate multi-cloud infrastructures, disaster recovery options, and geo-replication, making it particularly suitable for critical operational tasks. By facilitating the construction and scaling of real-time, event-driven solutions, IBM Event Streams ensures that data is processed with speed and efficiency, ultimately enhancing business agility and responsiveness. As a result, organizations can harness the power of real-time data to drive innovation and improve decision-making processes.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Apache Kafka Yes 
AWS Fargate Yes 
Amazon Kinesis Yes 
Apache Avro Yes 
Apache Flink Yes 
Apache Parquet Yes 
Confluent Yes 
Delta Lake Yes 
Docker Yes 
IBM MQ on Cloud No 
JSON Yes 
Kubernetes Yes 
PostgreSQL Yes 
Python Yes 
Redis Yes 
Rust Yes 
SQL Yes 
Waterstream No 
meshIQ No 

Integrations

Apache Kafka Yes 
AWS Fargate No 
Amazon Kinesis No 
Apache Avro No 
Apache Flink No 
Apache Parquet No 
Confluent No 
Delta Lake No 
Docker No 
IBM MQ on Cloud Yes 
JSON No 
Kubernetes No 
PostgreSQL No 
Python No 
Redis No 
Rust No 
SQL No 
Waterstream Yes 
meshIQ Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

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

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/event-streams

Product Features

Message Queue

Asynchronous Communications Protocol No 
Data Error Reduction No 
Message Encryption No 
On-Premise Installation No 
Roles / Permissions No 
Storage / Retrieval / Deletion No 
System Decoupling No 

Alternatives

Alternatives

Apache Kafka Reviews

Apache Kafka

The Apache Software Foundation