Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Ensure that every modification you implement is recorded. Utilize version history to easily switch between iterations, confirming that your API operates without issues. Our infrastructure, optimized for subgraph pre-caching, enables customers to experience indexing speeds that are up to three times faster, all without requiring any code alterations. You can create streams using SQL from subgraphs and other data streams, achieving persistent aggregations with zero latency, accessible through bridges. We offer sub-second, reorganization-aware ETL capabilities to various tools such as Hasura, Timescale, and Elasticsearch, among others. Combine subgraphs from different chains into a single stream, allowing you to perform costly aggregations in just milliseconds. Stack streams on top of one another, integrate with off-chain data, and establish a distinctive real-time perspective of the blockchain. Execute reliable webhooks, conduct analytical queries, and utilize fuzzy search features, among other functionalities. Furthermore, you can connect streams and subgraphs to databases like Timescale and Elasticsearch, or directly to a hosted GraphQL API, expanding your data handling capabilities. This comprehensive approach ensures that your data processing remains efficient and effective.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
SQL
Yes
AWS Fargate
Yes
Amazon Kinesis
Yes
Apache Avro
Yes
Apache Kafka
Yes
Apache Parquet
Yes
Avalanche
No
Confluent
Yes
Delta Lake
Yes
Docker
Yes
Integrations
SQL
Yes
AWS Fargate
No
Amazon Kinesis
No
Apache Avro
No
Apache Kafka
No
Apache Parquet
No
Avalanche
Yes
Confluent
No
Delta Lake
No
Docker
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
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
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
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Arroyo
Country
United States
Website
www.arroyo.dev/
Vendor Details
Company Name
Goldsky
Website
goldsky.com