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What is SQreamDB?

SQreamDB is a cutting-edge data warehouse that harnesses the power of GPU acceleration to handle complex queries effortlessly. It encompasses all the key functionalities found in conventional relational database systems, including strong compliance with ANSI SQL standards. With SQreamDB, users can load, store, and analyze data at speeds that can reach up to 100 times faster than those of traditional data warehouses, enhancing operational efficiency. SQream offers a wide range of product solutions, ensuring that there is a perfect fit for every specific requirement. Any business-related question can be posed to the data, allowing users to quickly extract the necessary insights for making informed decisions. This innovative SQL database breaks down previous barriers that limited access to certain queries. It provides organizations with the capability to perform intricate analyses on extensive datasets, enabling faster and more economical access to time-sensitive business insights than ever before. By leveraging this technology, organizations can achieve data-driven decision-making with unmatched speed and precision, ultimately revolutionizing their analytical strategies. As a result, businesses can stay ahead in a rapidly evolving data landscape, ensuring they capitalize on every opportunity presented.

What is Amazon Aurora?

Amazon Aurora is a cloud-native relational database designed to work seamlessly with both MySQL and PostgreSQL, offering the high performance and reliability typically associated with traditional enterprise databases while also providing the cost-effectiveness and simplicity of open-source solutions. Its performance is notably superior, achieving speeds up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. Moreover, it combines the security, availability, and reliability expected from commercial databases, all at a remarkably lower price point—specifically, only one-tenth of the cost. Managed entirely by the Amazon Relational Database Service (RDS), Aurora streamlines operations by automating critical tasks such as hardware provisioning, database configuration, patch management, and backup processes. This database features a fault-tolerant storage architecture that can automatically scale to support database instances as large as 64TB. Additionally, Amazon Aurora enhances performance and availability through capabilities like up to 15 low-latency read replicas, point-in-time recovery, continuous backups to Amazon S3, and data replication across three separate Availability Zones, all of which improve data resilience and accessibility. These comprehensive features not only make Amazon Aurora an attractive option for businesses aiming to harness the cloud for their database requirements but also ensure they can do so while enjoying exceptional performance and security measures. Ultimately, adopting Amazon Aurora can lead to reduced operational overhead and greater focus on innovation.

Media

Media

Integrations Supported

AI Query
AWS Auto Scaling
Amazon Fresh
Amazon RDS
Amazon Redshift
Amazon S3
Bold BI
Commvault HyperScale X
CustomerDashboard
DataClarity Unlimited Analytics
Datafi
JuxtAPPose
LightBeam.ai
MySQL
Releem
Secuvy AI
Timbr.ai
Untitled
Veeam Backup for AWS
Xplenty

API Availability

API Availability

Pricing Information

Custom Solutions
Free Trial Offered?

Pricing Information

$0.02
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SQream Technologies Ltd

Date Founded

2010

Company Location

Israel

Company Website

sqream.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/rds/aurora/

Categories and Features

NoSQL Database

Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management

SQL Databases

Not specified

Categories and Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
Performance Analysis
Queries
Relational Interface
Virtualization

Distributed Databases

Not specified

OLAP Databases

Not specified

RDBMS

Backup
Data Migration
Monitoring
Performance Analysis
Queries
Storage Optimization

Relational Database

ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support

SQL Databases

Not specified

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