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What is Yellowbrick?

As conventional systems like Netezza struggle to stay relevant and cloud-based solutions such as Snowflake are hindered by their reliance on standard hardware and virtual machines, Yellowbrick emerges as a solution that overcomes the challenges of cost and flexibility in both on-premises and cloud environments. This innovative platform enables users to achieve performance levels that are 100 times greater than traditional expectations, allowing thousands of users to run ad hoc queries at speeds that are 10 to 100 times more efficient than those provided by legacy or cloud-only data warehouses, even when handling massive datasets in the petabyte range. Furthermore, Yellowbrick allows for the concurrent querying of real-time and archived data, significantly improving data accessibility for organizations. It offers the versatility to deploy applications across various settings—be it on-premises or in multiple public clouds—while ensuring consistent performance without incurring additional data egress costs. Moreover, Yellowbrick's fixed-price subscription model provides organizations with budget predictability and the potential for significant savings; as more queries are executed, the cost per query decreases, making it an economically advantageous solution for large-scale data requirements. In essence, Yellowbrick empowers businesses to enhance their data strategies while enjoying exceptional performance and unmatched flexibility, making it an invaluable asset in today’s data-driven landscape. Ultimately, this platform not only meets but exceeds the evolving demands of modern data management.

What is Firebolt?

Firebolt delivers remarkable speed and adaptability, enabling users to confront even the toughest data challenges head-on. By innovating the concept of the cloud data warehouse, Firebolt ensures a fast and efficient analytics experience no matter the size of the data involved. This impressive boost in performance allows for the processing of extensive datasets with increased granularity through incredibly quick queries. Users can seamlessly modify their resources to meet varying workloads, data volumes, and numbers of concurrent users. At Firebolt, we strive to enhance the user-friendliness of data warehouses, moving away from traditional complexities. Our dedication to streamlining processes transforms once daunting tasks into simple operations. In contrast to other cloud data warehouse services that benefit from your resource consumption, we embrace a model centered on transparency and fairness. Our pricing framework is designed to facilitate growth without imposing hefty costs, making our solution both effective and budget-friendly. Ultimately, Firebolt equips organizations to fully leverage their data while minimizing the usual obstacles, thereby fostering a more efficient data management experience. This approach not only enhances productivity but also promotes a culture of data-driven decision-making.

Media

Media

Integrations Supported

Advanced Query Tool (AQT)
Assure Security
Coginiti
DataClarity Unlimited Analytics
DbVisualizer
IBM watsonx.data
Progress DataDirect
RazorSQL
TEOCO SmartHub Analytics
Tonic

Integrations Supported

Embeddable
Hevo
Latitude
Looker
Paradime
Rivery
Sifflet
Sisense
Tableau

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Yellowbrick Data

Date Founded

2014

Company Location

United States

Company Website

www.yellowbrick.com

Company Facts

Organization Name

Firebolt Analytics

Date Founded

2019

Company Location

Israel

Company Website

firebolt.io

Categories and Features

Data Management

Not specified

OLAP Databases

Not specified

Categories and Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
ETL - Extract / Transfer / Load

Database

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

OLAP Databases

Not specified

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