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About

Scale from zero to millions of events per second. Arroyo ships as a single, compact binary. Run locally on MacOS or Linux for development, and deploy to production with Docker or Kubernetes. Arroyo is a new kind of stream processing engine, built from the ground up to make real-time easier than batch. Arroyo was designed from the start so that anyone with SQL experience can build reliable, efficient, and correct streaming pipelines. Data scientists and engineers can build end-to-end real-time applications, models, and dashboards, without a separate team of streaming experts. Transform, filter, aggregate, and join data streams by writing SQL, with sub-second results. Your streaming pipelines shouldn't page someone just because Kubernetes decided to reschedule your pods. Arroyo is built to run in modern, elastic cloud environments, from simple container runtimes like Fargate to large, distributed deployments on the Kubernetes logo Kubernetes.

About

Unified stream and batch data processing that's serverless, fast, and cost-effective. Fully managed data processing service. Automated provisioning and management of processing resources. Horizontal autoscaling of worker resources to maximize resource utilization. OSS community-driven innovation with Apache Beam SDK. Reliable and consistent exactly-once processing. Streaming data analytics with speed. Dataflow enables fast, simplified streaming data pipeline development with lower data latency. Allow teams to focus on programming instead of managing server clusters as Dataflow’s serverless approach removes operational overhead from data engineering workloads. Allow teams to focus on programming instead of managing server clusters as Dataflow’s serverless approach removes operational overhead from data engineering workloads. Dataflow automates provisioning and management of processing resources to minimize latency and maximize utilization.

Platforms Supported

Windows Not Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Individuals in search of a tool to transform, filter, aggregate, and join data streams

Audience

Teams that want unified stream and batch data processing that's serverless, fast, and cost-effective

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Arroyo
United States
www.arroyo.dev/

Company Information

Google
Founded: 1998
United States
cloud.google.com/dataflow

Alternatives

Alternatives

Apache Beam

Apache Beam

Apache Software Foundation

Categories

Categories

Streaming Analytics Features

Data Enrichment Supported
Data Wrangling / Data Prep Supported
Multiple Data Source Support Supported
Process Automation Supported
Real-time Analysis / Reporting Supported
Visualization Dashboards Supported

Integrations

AWS Fargate Supported
Amazon Kinesis Supported
Apache Avro Supported
Apache Flink Supported
CData Connect Not Supported
DataBuck Not Supported
Docker Supported
Google Cloud Bigtable Not Supported
Google Cloud IoT Core Not Supported
Google Cloud Knowledge Catalog Not Supported
Google Cloud Managed Service for Apache Airflow Not Supported
JSON Supported
Kubernetes Supported
Orchestra Not Supported
Pantomath Not Supported
PostgreSQL Supported
Rust Supported
SQL Supported
Telmai Not Supported
Ternary Not Supported

Integrations

AWS Fargate Not Supported
Amazon Kinesis Not Supported
Apache Avro Not Supported
Apache Flink Not Supported
CData Connect Supported
DataBuck Supported
Docker Not Supported
Google Cloud Bigtable Supported
Google Cloud IoT Core Supported
Google Cloud Knowledge Catalog Supported
Google Cloud Managed Service for Apache Airflow Supported
JSON Not Supported
Kubernetes Not Supported
Orchestra Supported
Pantomath Supported
PostgreSQL Not Supported
Rust Not Supported
SQL Not Supported
Telmai Supported
Ternary Supported
Claim Arroyo and update features and information
Claim Arroyo and update features and information
Claim Google Cloud Dataflow and update features and information
Claim Google Cloud Dataflow and update features and information