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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 Azure Synapse Analytics?

Azure Synapse is the evolution of Azure SQL Data Warehouse, offering a robust analytics platform that merges enterprise data warehousing with Big Data capabilities. It allows users to query data flexibly, utilizing either serverless or provisioned resources on a grand scale. By fusing these two areas, Azure Synapse creates a unified experience for ingesting, preparing, managing, and delivering data, addressing both immediate business intelligence needs and machine learning applications. This cutting-edge service improves accessibility to data while simplifying the analytics workflow for businesses. Furthermore, it empowers organizations to make data-driven decisions more efficiently than ever before.

Media

Media

Integrations Supported

Coginiti
DataClarity Unlimited Analytics
Progress DataDirect
Advanced Query Tool (AQT)
Azure Data Lake Storage
Count
Dasera
Dataddo
Gravity Data
GrowthLoop
Immuta
Lyftrondata
Rational BI
Stitch
Supermetrics
TROCCO
ThoughtSpot
Validio
Velotix

Integrations Supported

Coginiti
DataClarity Unlimited Analytics
Progress DataDirect
Advanced Query Tool (AQT)
Azure Data Lake Storage
Count
Dasera
Dataddo
Gravity Data
GrowthLoop
Immuta
Lyftrondata
Rational BI
Stitch
Supermetrics
TROCCO
ThoughtSpot
Validio
Velotix

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Yellowbrick Data

Date Founded

2014

Company Location

United States

Company Website

www.yellowbrick.com

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/synapse-analytics/

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Categories and Features

Data Warehouse

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

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