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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 Amazon Aurora?

Amazon Aurora is a cloud-native relational database designed to work seamlessly with both MySQL and PostgreSQL, offering the high performance and reliability typically associated with traditional enterprise databases while also providing the cost-effectiveness and simplicity of open-source solutions. Its performance is notably superior, achieving speeds up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. Moreover, it combines the security, availability, and reliability expected from commercial databases, all at a remarkably lower price point—specifically, only one-tenth of the cost. Managed entirely by the Amazon Relational Database Service (RDS), Aurora streamlines operations by automating critical tasks such as hardware provisioning, database configuration, patch management, and backup processes. This database features a fault-tolerant storage architecture that can automatically scale to support database instances as large as 64TB. Additionally, Amazon Aurora enhances performance and availability through capabilities like up to 15 low-latency read replicas, point-in-time recovery, continuous backups to Amazon S3, and data replication across three separate Availability Zones, all of which improve data resilience and accessibility. These comprehensive features not only make Amazon Aurora an attractive option for businesses aiming to harness the cloud for their database requirements but also ensure they can do so while enjoying exceptional performance and security measures. Ultimately, adopting Amazon Aurora can lead to reduced operational overhead and greater focus on innovation.

Media

Media

Integrations Supported

Amazon S3
PostgreSQL
Apache Spark
PHP

Integrations Supported

Amazon S3
PostgreSQL
AI Query
AWS App Mesh
Apono
B2Sell
CompareData
Dataedo
Datafi
Insight PISO Manager
JMP Statistical Software
NocoDB
Rational BI
Scriptcase
Sematext Cloud
Stackreaction
Timbr.ai
Zoho DataPrep

API Availability

API Availability

Pricing Information

$50 per CPU core / monthly
Simple, capacity-based pricing means total predictability. Enterprise-grade support included.
Free Version

Pricing Information

$0.02
Free Trial Offered?

Supported Platforms

SaaS
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
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

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/rds/aurora/

Categories and Features

Categories and Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
Performance Analysis
Queries
Relational Interface
Virtualization

Distributed Databases

Not specified

OLAP Databases

Not specified

RDBMS

Backup
Data Migration
Monitoring
Performance Analysis
Queries
Storage Optimization

Relational Database

ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support

SQL Databases

Not specified

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