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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 Oracle Analytics Server?

Oracle Analytics Server is a sophisticated tool designed to empower business analysts and decision-makers in uncovering critical insights and facilitating faster, informed choices. This platform brings the advanced features of Oracle Analytics Cloud to organizations that require on-premises solutions. By adopting Oracle Analytics Server, businesses gain the advantage of augmented analytics along with superior data discovery capabilities, all while addressing their specific configuration needs. This flexibility is particularly beneficial for companies facing strict regulatory requirements or those utilizing multi-cloud environments, as they can access top-tier analytical tools tailored to their deployment preferences. Furthermore, Oracle Analytics Server guarantees that legacy systems remain functional and offers a seamless pathway to transition to Oracle Cloud at their convenience. In addition, the platform features sophisticated, AI-enhanced self-service analytics that streamline data preparation, significantly improving user experience. Ultimately, Oracle Analytics Server positions organizations to harness the power of data more effectively than ever before.

Media

Media

Integrations Supported

Amazon S3
Apache Airflow
Apache Spark
Azure Blob Storage
Google Cloud Storage
Grafana Cloud
Java
Looker
Microsoft Power BI
MinIO
Oracle Analytics Cloud
PHP
PostgreSQL
Python
TablePlus

Integrations Supported

Amazon S3
Apache Airflow
Apache Spark
Azure Blob Storage
Google Cloud Storage
Grafana Cloud
Java
Looker
Microsoft Power BI
MinIO
Oracle Analytics Cloud
PHP
PostgreSQL
Python
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

Oracle

Date Founded

1977

Company Location

United States

Company Website

docs.oracle.com/en/middleware/bi/analytics-server/user-oas/oracle-analytics-server.html

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

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