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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Firebolt offers incredible speed and flexibility to tackle even the most daunting data challenges. By completely reimagining the cloud data warehouse, Firebolt provides an exceptionally rapid and efficient analytics experience regardless of scale. This significant leap in performance enables you to process larger datasets with greater detail through remarkably swift queries. You can effortlessly adjust your resources to accommodate any workload, volume of data, and number of simultaneous users. At Firebolt, we are committed to making data warehouses far more user-friendly than what has traditionally been available. This commitment drives us to simplify processes that were once complex and time-consuming into manageable tasks. Unlike other cloud data warehouse providers that profit from the resources you utilize, our model prioritizes transparency and fairness. We offer a pricing structure that ensures you can expand your operations without incurring excessive costs, making our solution not only efficient but also economical. Ultimately, Firebolt empowers organizations to harness the full potential of their data without the usual headaches.

Description

Fully compatible with Netezza, this solution offers a streamlined command-line upgrade option. It can be deployed on-premises, in the cloud, or through a hybrid model. The IBM® Netezza® Performance Server for IBM Cloud Pak® for Data serves as a sophisticated platform for data warehousing and analytics, catering to both on-premises and cloud environments. With significant improvements in in-database analytics functions, this next-generation Netezza empowers users to engage in data science and machine learning with datasets that can reach petabyte levels. It includes features for detecting failures and ensuring rapid recovery, making it robust for enterprise use. Users can upgrade existing systems using a single command-line interface. The platform allows for querying multiple systems as a cohesive unit. You can select the nearest data center or availability zone, specify the desired compute units and storage capacity, and initiate the setup seamlessly. Furthermore, the IBM® Netezza® Performance Server is accessible on IBM Cloud®, Amazon Web Services (AWS), and Microsoft Azure, and it can also be implemented on a private cloud, all powered by the capabilities of IBM Cloud Pak for Data System. This flexibility enables organizations to tailor the deployment to their specific needs and infrastructure.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Advanced Query Tool (AQT)
Amazon Web Services (AWS)
Coginiti
Digna
IBM Cloud Pak for Data
IBM Cognos Analytics
IBM watsonx.data
Impetus
Latitude
Looker
Microsoft 365
RazorSQL
Rivery
SOLIXCloud
SOLIXCloud CDP
Semarchy xDI
Sifflet
Style Intelligence
Tableau

Integrations

Advanced Query Tool (AQT)
Amazon Web Services (AWS)
Coginiti
Digna
IBM Cloud Pak for Data
IBM Cognos Analytics
IBM watsonx.data
Impetus
Latitude
Looker
Microsoft 365
RazorSQL
Rivery
SOLIXCloud
SOLIXCloud CDP
Semarchy xDI
Sifflet
Style Intelligence
Tableau

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Firebolt Analytics

Founded

2019

Country

Israel

Website

firebolt.io

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/netezza

Product Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

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

Product Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

Alternatives

Alternatives

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