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What is StarRocks?

No matter if your project consists of a single table or multiple tables, StarRocks promises a remarkable performance boost of no less than 300% when stacked against other commonly used solutions. Its extensive range of connectors allows for the smooth ingestion of streaming data, capturing information in real-time and guaranteeing that you have the most current insights at your fingertips. Designed specifically for your unique use cases, the query engine enables flexible analytics without the hassle of moving data or altering SQL queries, which simplifies the scaling of your analytics capabilities as needed. Moreover, StarRocks not only accelerates the journey from data to actionable insights but also excels with its unparalleled performance, providing a comprehensive OLAP solution that meets the most common data analytics demands. Its sophisticated caching system, leveraging both memory and disk, is specifically engineered to minimize the I/O overhead linked with data retrieval from external storage, which leads to significant enhancements in query performance while ensuring overall efficiency. Furthermore, this distinctive combination of features empowers users to fully harness the potential of their data, all while avoiding unnecessary delays in their analytic processes. Ultimately, StarRocks represents a pivotal tool for those seeking to optimize their data analysis and operational productivity.

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.

Media

Media

Integrations Supported

Amazon S3
Apache Spark
Grafana Cloud
PostgreSQL
Apache Hive
Apache Kafka
Bytebase
CelerData Cloud
Dosi
MySQL
SQL
Trino

Integrations Supported

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

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

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

Supported Platforms

Linux

Supported Platforms

SaaS
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

StarRocks

Company Location

United States

Company Website

www.starrocks.io

Company Facts

Organization Name

Oxla

Date Founded

2020

Company Location

Poland

Company Website

www.oxla.com

Categories and Features

OLAP Databases

Not specified

Query Engines

Not specified

Categories and Features

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