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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 Apache Pinot?

Pinot is designed to optimize the handling of OLAP queries with low latency when working with static data. It supports a variety of pluggable indexing techniques, such as Sorted Index, Bitmap Index, and Inverted Index. Although it does not currently facilitate joins, this can be circumvented by employing Trino or PrestoDB for executing queries. The platform offers an SQL-like syntax that enables users to perform selection, aggregation, filtering, grouping, ordering, and distinct queries on the data. It comprises both offline and real-time tables, where real-time tables are specifically implemented to fill gaps in offline data availability. Furthermore, users have the capability to customize the anomaly detection and notification processes, allowing for precise identification of significant anomalies. This adaptability ensures users can uphold robust data integrity while effectively addressing their analytical requirements, ultimately enhancing their overall data management strategy.

Media

Media

Integrations Supported

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

Integrations Supported

Amazon S3
Astro by Astronomer
Azure Data Lake
Hadoop
Hue
Kestra
OpenMetadata
StarTree

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

Pricing not provided

Supported Platforms

SaaS
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based 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

Apache Corporation

Date Founded

1954

Company Location

United Statess

Company Website

pinot.apache.org

Categories and Features

Categories and Features

Columnar Databases

Not specified

OLAP Databases

Not specified

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