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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 Kinetica?

Kinetica is a cloud database designed to effortlessly scale and manage extensive streaming data sets. By leveraging cutting-edge vectorized processors, it significantly accelerates performance for both real-time spatial and temporal tasks, resulting in processing speeds that are orders of magnitude quicker. In a dynamic environment, it enables the monitoring and analysis of countless moving objects, providing valuable insights. The innovative vectorization technique enhances performance for analytics concerning spatial and time series data, even at significant scales. Users can execute queries and ingest data simultaneously, facilitating prompt responses to real-time events. Kinetica’s lockless architecture ensures that data can be ingested in a distributed manner, making it accessible immediately upon arrival. This advanced vectorized processing not only optimizes resource usage but also simplifies data structures for more efficient storage, ultimately reducing the time spent on data engineering. As a result, Kinetica equips users with the ability to perform rapid analytics and create intricate visualizations of dynamic objects across vast datasets. In this way, businesses can respond more agilely to changing conditions and derive deeper insights from their data.

Media

Media

Integrations Supported

Amazon S3
Apache Airflow
Azure Blob Storage
Grafana Cloud
Java
Looker
Microsoft Power BI
PHP
PostgreSQL
Python
TablePlus

Integrations Supported

Gravity Data
Oracle Big Data Preparation
Oracle Cloud Infrastructure Object Storage
Oracle Digital Assistant
Oracle Endeca Commerce
Oracle Machine Learning
Oracle Partner Relationship Management
Oracle Subscription Management
Oracle Textura Pre-Qualification

API Availability

API Availability

Has API

Pricing Information

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

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
On-Prem
Linux

Supported Platforms

Not specified

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Oxla

Date Founded

2020

Company Location

Poland

Company Website

www.oxla.com

Company Facts

Organization Name

Kinetica

Date Founded

2009

Company Location

United States

Company Website

www.kinetica.com

Categories and Features

Categories and Features

Data Warehouse

Not specified

In-Memory Databases

Not specified

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

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