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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

Empower individuals to explore and analyze streaming data effectively. By sharing, documenting, and organizing your data, you can boost productivity by as much as 95%. Once you have your data, you can create applications tailored for real-world use cases. Implement a security model focused on data to address the vulnerabilities associated with open source technologies, ensuring data privacy is prioritized. Additionally, offer secure and low-code data pipeline functionalities that enhance usability. Illuminate all hidden aspects and provide unmatched visibility into data and applications. Integrate your data mesh and technological assets, ensuring you can confidently utilize open-source solutions in production environments. Lenses has been recognized as the premier product for real-time stream analytics, based on independent third-party evaluations. With insights gathered from our community and countless hours of engineering, we have developed features that allow you to concentrate on what generates value from your real-time data. Moreover, you can deploy and operate SQL-based real-time applications seamlessly over any Kafka Connect or Kubernetes infrastructure, including AWS EKS, making it easier than ever to harness the power of your data. By doing so, you will not only streamline operations but also unlock new opportunities for innovation.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Apache Kafka Yes 
Confluent Yes 
Kubernetes Yes 
Redis Yes 
AWS Fargate Yes 
Amazon CloudWatch No 
Amazon EKS No 
Apache Cassandra No 
Apache Flink Yes 
Apache Parquet Yes 
Cloudera No 
Datadog No 
Delta Lake Yes 
GitHub No 
GitLab No 
JSON Yes 
PagerDuty No 
PostgreSQL Yes 
Slack No 
Zoho Directory No 

Integrations

Apache Kafka Yes 
Confluent Yes 
Kubernetes Yes 
Redis Yes 
AWS Fargate No 
Amazon CloudWatch Yes 
Amazon EKS Yes 
Apache Cassandra Yes 
Apache Flink No 
Apache Parquet No 
Cloudera Yes 
Datadog Yes 
Delta Lake No 
GitHub Yes 
GitLab Yes 
JSON No 
PagerDuty Yes 
PostgreSQL No 
Slack Yes 
Zoho Directory Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$49 per month
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 Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Arroyo

Country

United States

Website

www.arroyo.dev/

Vendor Details

Company Name

Lenses.io

Founded

2016

Country

United Kingdom

Website

lenses.io

Product Features

Data Governance

Access Control No 
Data Discovery No 
Data Mapping No 
Data Profiling No 
Deletion Management No 
Email Management No 
Policy Management No 
Process Management No 
Roles Management No 
Storage Management No 

IT Infrastructure Monitoring

Alerts / Notifications No 
Application Monitoring No 
Bandwidth Monitoring No 
Capacity Planning No 
Configuration Change Management No 
Data Movement Monitoring No 
Health Monitoring No 
Multi-Platform Support No 
Performance Monitoring No 
Point-in-Time Visibility No 
Reporting / Analytics No 
Virtual Machine Monitoring No 

Streaming Analytics

Data Enrichment No 
Data Wrangling / Data Prep No 
Multiple Data Source Support No 
Process Automation No 
Real-time Analysis / Reporting No 
Visualization Dashboards No 

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