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What is IBM Event Streams?

IBM Event Streams is a robust event streaming solution based on Apache Kafka that helps organizations manage and respond to data in real time. It includes features like machine learning integration, high availability, and secure cloud deployment, allowing businesses to create intelligent applications that react promptly to events. The service is tailored to support multi-cloud environments, offers disaster recovery capabilities, and enables geo-replication, making it an ideal choice for mission-critical operations. By enabling the development and scaling of real-time, event-driven applications, IBM Event Streams ensures efficient and fast data processing, which significantly boosts organizational agility and responsiveness. Consequently, companies can leverage real-time data to foster innovation and enhance their decision-making strategies while navigating complex market dynamics. This adaptability positions them favorably in an increasingly competitive landscape.

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

Apache Kafka
IBM MQ on Cloud
Waterstream
meshIQ

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

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

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/event-streams

Company Facts

Organization Name

Arroyo

Company Location

United States

Company Website

www.arroyo.dev/

Categories and Features

Event Brokers

Not specified

Message Queue

Not specified

Categories and Features

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Apache Kafka Reviews & Ratings

Apache Kafka

The Apache Software Foundation
5.0 out of 5 stars

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