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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 LSO-MAX?

The Large-Scale Optimizerâ„¢ is a joint effort by Michael Best, a Professor Emeritus at the University of Waterloo's Department of Combinatorics and Optimization, and Jivendra Kale, the President of Financiometrics Inc. This innovative quadratic optimizer is tailored for the rapid development of long-only, long-short, and market-neutral portfolios, accommodating thousands of assets to facilitate effective risk management against a benchmark portfolio. Furthermore, it functions as an asset allocation tool grounded in the principles of Markowitz mean-variance analysis. The unrestricted edition of the Large-Scale Optimizerâ„¢ can be obtained as either an application or a subroutine library for seamless integration into existing software systems. By utilizing a sophisticated active set method enhanced by penalty function techniques, the Large-Scale Optimizerâ„¢ significantly accelerates the process of achieving a true global optimal solution for complex, real-world portfolio optimization problems, even in the presence of variable transaction costs. This distinctive feature establishes it as an invaluable resource for financial analysts and portfolio managers striving to refine their investment strategies with efficiency and precision, making it a standout option for those committed to maximizing their financial outcomes.

Media

Media

Integrations Supported

Amazon S3
Apache Airflow
Apache Spark
Azure Blob Storage
Google Cloud Storage
Grafana Cloud
Java
Looker
Microsoft Power BI
MinIO
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
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

Financiometrics

Company Website

www.financiometrics.com

Categories and Features

Financial Risk Management

Compliance Management
Credit Risk Management
For Hedge Funds
Liquidity Analysis
Loan Portfolio Management
Market Risk Management
Operational Risk Management
Portfolio Management
Portfolio Modeling
Risk Analytics Benchmarks
Stress Tests
Value At Risk Calculation

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