Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

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

IBM® StreamSets allows users to create and maintain smart streaming data pipelines using an intuitive graphical user interface. This facilitates seamless data integration in hybrid and multicloud environments. IBM StreamSets is used by leading global companies to support millions data pipelines, for modern analytics and intelligent applications. Reduce data staleness, and enable real-time information at scale. Handle millions of records across thousands of pipelines in seconds. Drag-and-drop processors that automatically detect and adapt to data drift will protect your data pipelines against unexpected changes and shifts. Create streaming pipelines for ingesting structured, semistructured, or unstructured data to deliver it to multiple destinations.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Delta Lake Yes 
PostgreSQL Yes 
Redis Yes 
AWS Fargate Yes 
Amazon Kinesis Yes 
Amazon Redshift No 
Amazon S3 No 
Apache Parquet Yes 
Couchbase No 
CrateDB No 
Docker Yes 
FileTrail Records Management No 
Hadoop No 
JSON Yes 
Kubernetes Yes 
MongoDB No 
MySQL No 
Python Yes 
SAP HANA No 
Splunk Cloud Platform No 

Integrations

Delta Lake Yes 
PostgreSQL Yes 
Redis Yes 
AWS Fargate No 
Amazon Kinesis No 
Amazon Redshift Yes 
Amazon S3 Yes 
Apache Parquet No 
Couchbase Yes 
CrateDB Yes 
Docker No 
FileTrail Records Management Yes 
Hadoop Yes 
JSON No 
Kubernetes No 
MongoDB Yes 
MySQL Yes 
Python No 
SAP HANA Yes 
Splunk Cloud Platform Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$1000 per month
5 active jobs
5 users
50 published pipelines
99.9% uptime
Email Support (Business hours M-F)
Free Trial Yes 
Free Version Yes 

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 Yes 
Live Rep (24/7) Yes 
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 Yes 

Vendor Details

Company Name

Arroyo

Country

United States

Website

www.arroyo.dev/

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/streamsets

Product Features

DevOps

Approval Workflow Yes 
Dashboard Yes 
KPIs Yes 
Policy Management Yes 
Portfolio Management Yes 
Prioritization Yes 
Release Management Yes 
Timeline Management Yes 
Troubleshooting Reports Yes 

Streaming Analytics

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

Alternatives

Alternatives

Apache Airflow Reviews

Apache Airflow

The Apache Software Foundation