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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

AI-powered Informatica Data Engineering Streaming enables data engineers to ingest, process, and analyze real-time streaming data for actionable insights. Advanced serverless deployment option​ with integrated metering dashboard cuts admin overhead. Rapidly build intelligent data pipelines with CLAIRE®-powered automation, including automatic change data capture (CDC). Ingest thousands of databases and millions of files, and streaming events. Efficiently ingest databases, files, and streaming data for real-time data replication and streaming analytics. Find and inventory all data assets throughout your organization. Intelligently discover and prepare trusted data for advanced analytics and AI/ML projects.

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 Not 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

Organizations in need of an advanced Event Stream Processing solution

Support

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

Support

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

Company Information

Arroyo
United States
www.arroyo.dev/

Company Information

Informatica
United States
www.informatica.com/products/big-data/big-data-streaming.html

Alternatives

Alternatives

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
Apache Kafka Supported
Apache Parquet Supported
Confluent Supported
Delta Lake Supported
Docker Supported
JSON Supported
Kubernetes Supported
PostgreSQL Supported
Python Supported
Redis Supported
Rust Supported
SQL Supported

Integrations

AWS Fargate Not Supported
Amazon Kinesis Not Supported
Apache Avro Not Supported
Apache Flink Not Supported
Apache Kafka Not Supported
Apache Parquet Not Supported
Confluent Not Supported
Delta Lake Not Supported
Docker Not Supported
JSON Not Supported
Kubernetes Not Supported
PostgreSQL Not Supported
Python Not Supported
Redis Not Supported
Rust Not Supported
SQL Not Supported
Claim Arroyo and update features and information
Claim Arroyo and update features and information
Claim Informatica Data Engineering Streaming and update features and information
Claim Informatica Data Engineering Streaming and update features and information