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What is Leo?

Convert your data into a dynamic stream, guaranteeing immediate access and readiness for use. Leo streamlines the intricacies of event sourcing, enabling the effortless creation, visualization, monitoring, and maintenance of your data streams. By liberating your data, you can overcome the constraints of traditional systems. This notable decrease in development time results in increased satisfaction for both developers and stakeholders. Adopting microservice architectures nurtures ongoing innovation and boosts your organizational agility. Ultimately, thriving within a microservices framework relies heavily on proficient data management. Businesses must establish a robust and repeatable data infrastructure to transform microservices from concept to reality. Additionally, you can incorporate extensive search capabilities into your custom application, as the steady stream of data simplifies the management and updating of a search database. With these advancements, your organization will not only be prepared to utilize data more effectively but also to adapt swiftly to future challenges in the data landscape. This proactive approach will ensure sustained growth and success in an ever-evolving environment.

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

HubSpot Customer Platform
MongoDB
MySQL
NetSuite

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

$251 per month

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

Mac
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Leo

Company Website

www.leoplatform.io

Company Facts

Organization Name

Arroyo

Company Location

United States

Company Website

www.arroyo.dev/

Categories and Features

Microservices

Not specified

Categories and Features

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