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What is NuoDB?

As the shift towards distributed applications and architectures accelerates, it becomes crucial for your database to evolve in response. Experience the versatility of a distributed SQL database that can be deployed anytime and anywhere, customized to fit your unique needs. Upgrade your existing SQL applications to a powerful multi-node framework that can easily scale up or down based on fluctuating demand. Our Transaction Engines (TEs) and Storage Managers (SMs) work in harmony to ensure ACID compliance across diverse nodes. Through the adoption of a distributed architecture, your database gains the ability to endure the failure of one or more nodes while still providing uninterrupted access. You can strategically position TEs and SMs to meet the demands of your workload or across the various environments your teams utilize, including private clouds, public clouds, hybrid configurations, or multiple cloud services. This remarkable flexibility guarantees that your database stays resilient and efficient amid a rapidly changing technological environment. Ultimately, the ability to adapt and thrive in such conditions will give your organization a significant competitive edge.

What is IBM Cloud SQL Query?

Discover the advantages of serverless and interactive data querying with IBM Cloud Object Storage, which allows you to analyze data at its origin without the complexities of ETL processes, databases, or infrastructure management. With IBM Cloud SQL Query, powered by Apache Spark, you can perform high-speed, flexible analyses using SQL queries without needing to define ETL workflows or schemas. The intuitive query editor and REST API make it simple to conduct data analysis on your IBM Cloud Object Storage. Operating on a pay-per-query pricing model, you are charged solely for the data scanned, offering an economical approach that supports limitless queries. To maximize both cost savings and performance, you might want to consider compressing or partitioning your data. Additionally, IBM Cloud SQL Query guarantees high availability by executing queries across various computational resources situated in multiple locations. It supports an array of data formats, such as CSV, JSON, and Parquet, while also being compatible with standard ANSI SQL for query execution, thereby providing a flexible tool for data analysis. This functionality empowers organizations to make timely, data-driven decisions, enhancing their operational efficiency and strategic planning. Ultimately, the seamless integration of these features positions IBM Cloud SQL Query as an essential resource for modern data analysis.

Media

Media

Integrations Supported

Apache Spark
Autymate
DQ Studio
Data Sentinel
DbVisualizer
IBM Cloud Object Storage
Lyftrondata
Nucleon Database Master

Integrations Supported

Apache Spark
Autymate
DQ Studio
Data Sentinel
DbVisualizer
IBM Cloud Object Storage
Lyftrondata
Nucleon Database Master

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$5.00/Terabyte-Month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NuoDB

Date Founded

2010

Company Location

United States

Company Website

www.nuodb.com

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/sql-query

Categories and Features

Database

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

Relational Database

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

Categories and Features

Relational Database

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

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