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Average Ratings 0 Ratings

Total
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

Designed specifically for optimizing compute, memory, and storage, Oxla serves as a self-hosted data warehouse that excels in handling large-scale, low-latency analytics while providing strong support for time-series data. While cloud data warehouses may suit many, they are not universally applicable; as operations expand, the ongoing costs of cloud computing can surpass initial savings on infrastructure, particularly in regulated sectors that demand comprehensive data control beyond mere VPC and BYOC setups. Oxla surpasses both traditional and cloud-based warehouses by maximizing efficiency, allowing for the scalability of expanding datasets with predictable expenses, whether on-premises or in various cloud environments. Deployment, execution, and maintenance of Oxla can be easily managed using Docker and YAML, enabling a range of workloads to thrive within a singular, self-hosted data warehouse. In this way, Oxla provides a tailored solution for organizations seeking both efficiency and control in their data management strategies.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

PostgreSQL Yes 
Python Yes 
AWS Fargate Yes 
Amazon Kinesis Yes 
Amazon S3 No 
Apache Avro Yes 
Apache Flink Yes 
Apache Kafka Yes 
Apache Parquet Yes 
Apache Spark No 
Azure Blob Storage No 
Docker Yes 
Google Cloud Storage No 
JSON Yes 
Looker No 
Microsoft Power BI No 
PHP No 
Rust Yes 
SQL Yes 
TablePlus No 

Integrations

PostgreSQL Yes 
Python Yes 
AWS Fargate No 
Amazon Kinesis No 
Amazon S3 Yes 
Apache Avro No 
Apache Flink No 
Apache Kafka No 
Apache Parquet No 
Apache Spark Yes 
Azure Blob Storage Yes 
Docker No 
Google Cloud Storage Yes 
JSON No 
Looker Yes 
Microsoft Power BI Yes 
PHP Yes 
Rust No 
SQL No 
TablePlus Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$50 per CPU core / monthly
Simple, capacity-based pricing means total predictability. Enterprise-grade support included.
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 Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
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 Yes 

Vendor Details

Company Name

Arroyo

Country

United States

Website

www.arroyo.dev/

Vendor Details

Company Name

Oxla

Founded

2020

Country

Poland

Website

www.oxla.com

Alternatives

Alternatives

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