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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Pinot is built to efficiently handle OLAP queries on static data with minimal latency. It incorporates various pluggable indexing methods, including Sorted Index, Bitmap Index, and Inverted Index. While it currently lacks support for joins, this limitation can be mitigated by utilizing Trino or PrestoDB for querying purposes. The system offers an SQL-like language that enables selection, aggregation, filtering, grouping, ordering, and distinct queries on datasets. It comprises both offline and real-time tables, with real-time tables being utilized to address segments lacking offline data. Additionally, users can tailor the anomaly detection process and notification mechanisms to accurately identify anomalies. This flexibility ensures that users can maintain data integrity and respond proactively to potential issues.

Description

Data Warehousing Without Limits As traditional systems like Netezza find it challenging to maintain their relevance, and cloud-exclusive solutions such as Snowflake face limitations due to dependence on virtual machines utilizing standard hardware, Yellowbrick breaks through barriers related to cost-effectiveness and adaptability in both on-premises and cloud settings. With Yellowbrick, users can achieve 100 times the performance they would expect, allowing thousands of individuals to execute ad hoc queries significantly faster—between 10 to 100 times more efficiently—than what legacy or cloud-only data warehouses can offer, even when working with petabytes of data. This platform supports simultaneous querying of both real-time and archived data, enhancing data accessibility. It provides the flexibility to deploy applications across various environments—whether on-premises or in multiple public clouds—ensuring consistent data performance without incurring data egress fees. Additionally, Yellowbrick helps organizations save millions through its cost-effective, fixed-price subscription model that offers budget predictability; the more queries executed, the lower the cost per query becomes, making it an economically savvy choice for extensive data needs. Ultimately, with Yellowbrick, businesses can optimize their data strategies while enjoying unparalleled performance and flexibility.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Advanced Query Tool (AQT) No 
Amazon S3 Yes 
Apache Kafka Yes 
Assure Security No 
Astro by Astronomer Yes 
Azure Data Lake Yes 
Coginiti No 
DataClarity Unlimited Analytics No 
DbVisualizer No 
Hadoop Yes 
Hue Yes 
IBM watsonx.data No 
Kestra Yes 
Onehouse Yes 
OpenMetadata Yes 
Progress DataDirect No 
RazorSQL No 
StarTree Yes 
TEOCO SmartHub Analytics No 
Tonic No 

Integrations

Advanced Query Tool (AQT) Yes 
Amazon S3 No 
Apache Kafka No 
Assure Security Yes 
Astro by Astronomer No 
Azure Data Lake No 
Coginiti Yes 
DataClarity Unlimited Analytics Yes 
DbVisualizer Yes 
Hadoop No 
Hue No 
IBM watsonx.data Yes 
Kestra No 
Onehouse No 
OpenMetadata No 
Progress DataDirect Yes 
RazorSQL Yes 
StarTree No 
TEOCO SmartHub Analytics Yes 
Tonic Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Apache Corporation

Founded

1954

Country

United Statess

Website

pinot.apache.org

Vendor Details

Company Name

Yellowbrick Data

Founded

2014

Country

United States

Website

www.yellowbrick.com

Product Features

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

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