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What is Oxla?

Tailored for the enhancement of compute, memory, and storage capabilities, Oxla functions as a self-hosted data warehouse that specializes in managing extensive, low-latency analytics while effectively supporting time-series data. Although cloud data warehouses may be beneficial for many businesses, they do not fit every scenario; as companies grow, the continuous expenses associated with cloud computing can outpace initial savings on infrastructure, particularly in industries that require stringent data governance beyond just VPC and BYOC solutions. Oxla distinguishes itself from both conventional and cloud-based warehouses by optimizing efficiency, enabling the scalability of growing datasets while maintaining predictable costs, whether deployed on-premises or across diverse cloud platforms. The deployment, operation, and upkeep of Oxla can be conveniently handled through Docker and YAML, allowing a variety of workloads to flourish within a single, self-hosted data warehouse. Consequently, Oxla emerges as a customized solution for organizations aiming for both enhanced efficiency and rigorous control in their data management practices, ultimately driving better decision-making and operational performance.

What is Arroyo?

Scale from zero to millions of events each second with Arroyo, which is provided as a single, efficient binary. It can be executed locally on MacOS or Linux for development needs and can be seamlessly deployed into production via Docker or Kubernetes. Arroyo offers a groundbreaking approach to stream processing that prioritizes the ease of real-time operations over conventional batch processing methods. Designed from the ground up, Arroyo enables anyone with a basic knowledge of SQL to construct reliable, efficient, and precise streaming pipelines. This capability allows data scientists and engineers to build robust real-time applications, models, and dashboards without requiring a specialized team focused on streaming. Users can easily perform operations such as transformations, filtering, aggregation, and data stream joining merely by writing SQL, achieving results in less than a second. Additionally, your streaming pipelines are insulated from triggering alerts simply due to Kubernetes deciding to reschedule your pods. With its ability to function in modern, elastic cloud environments, Arroyo caters to a range of setups from simple container runtimes like Fargate to large-scale distributed systems managed with Kubernetes. This adaptability makes Arroyo the perfect option for organizations aiming to refine their streaming data workflows, ensuring that they can efficiently handle the complexities of real-time data processing. Moreover, Arroyo’s user-friendly design helps organizations streamline their operations significantly, leading to an overall increase in productivity and innovation.

Media

Media

Integrations Supported

PostgreSQL
Python
Apache Avro
Apache Flink
Apache Kafka
Apache Parquet
Apache Spark
Azure Blob Storage
Confluent
Docker
Google Cloud Storage
Grafana Cloud
JSON
Java
Looker
MinIO
PHP
Redis
SQL
TablePlus

Integrations Supported

PostgreSQL
Python
Apache Avro
Apache Flink
Apache Kafka
Apache Parquet
Apache Spark
Azure Blob Storage
Confluent
Docker
Google Cloud Storage
Grafana Cloud
JSON
Java
Looker
MinIO
PHP
Redis
SQL
TablePlus

API Availability

Has API

API Availability

Has API

Pricing Information

$50 per CPU core / monthly
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Oxla

Date Founded

2020

Company Location

Poland

Company Website

www.oxla.com

Company Facts

Organization Name

Arroyo

Company Location

United States

Company Website

www.arroyo.dev/

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