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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Designed specifically for optimizing compute, memory, and storage, Oxla serves as a self-hosted data warehouse that excels in handling large-scale, low-latency analytics while providing strong support for time-series data. While cloud data warehouses may suit many, they are not universally applicable; as operations expand, the ongoing costs of cloud computing can surpass initial savings on infrastructure, particularly in regulated sectors that demand comprehensive data control beyond mere VPC and BYOC setups. Oxla surpasses both traditional and cloud-based warehouses by maximizing efficiency, allowing for the scalability of expanding datasets with predictable expenses, whether on-premises or in various cloud environments. Deployment, execution, and maintenance of Oxla can be easily managed using Docker and YAML, enabling a range of workloads to thrive within a singular, self-hosted data warehouse. In this way, Oxla provides a tailored solution for organizations seeking both efficiency and control in their data management strategies.

Description

Regardless of whether your project involves a single table or numerous tables, StarRocks guarantees an impressive performance improvement of at least 300% when compared to other widely used solutions. With its comprehensive array of connectors, you can seamlessly ingest streaming data and capture information in real time, ensuring that you always have access to the latest insights. The query engine is tailored to suit your specific use cases, allowing for adaptable analytics without the need to relocate data or modify SQL queries. This provides an effortless way to scale your analytics capabilities as required. StarRocks not only facilitates a swift transition from data to actionable insights, but also stands out with its unmatched performance, offering a holistic OLAP solution that addresses the most prevalent data analytics requirements. Its advanced memory-and-disk-based caching framework is purpose-built to reduce I/O overhead associated with retrieving data from external storage, significantly enhancing query performance while maintaining efficiency. This unique combination of features ensures that users can maximize their data's potential without unnecessary delays.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon S3 Yes 
Apache Spark Yes 
Grafana Cloud Yes 
PostgreSQL Yes 
Apache Airflow Yes 
Apache Hive No 
Apache Kafka No 
Azure Blob Storage Yes 
Bytebase No 
CelerData Cloud No 
Google Cloud Storage Yes 
IBM watsonx.data No 
Java Yes 
LeetCode No 
Microsoft Power BI Yes 
MinIO Yes 
MySQL No 
PHP Yes 
SQL No 
TablePlus Yes 

Integrations

Amazon S3 Yes 
Apache Spark Yes 
Grafana Cloud Yes 
PostgreSQL Yes 
Apache Airflow No 
Apache Hive Yes 
Apache Kafka Yes 
Azure Blob Storage No 
Bytebase Yes 
CelerData Cloud Yes 
Google Cloud Storage No 
IBM watsonx.data Yes 
Java No 
LeetCode Yes 
Microsoft Power BI No 
MinIO No 
MySQL Yes 
PHP No 
SQL Yes 
TablePlus No 

Pricing Details

$50 per CPU core / monthly
Simple, capacity-based pricing means total predictability. Enterprise-grade support included.
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Oxla

Founded

2020

Country

Poland

Website

www.oxla.com

Vendor Details

Company Name

StarRocks

Country

United States

Website

www.starrocks.io

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