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ease
features
design
support

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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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Advanced Query Tool (AQT)
Amazon S3
Apache Kafka
Assure Security
Astro by Astronomer
Azure Data Lake
Coginiti
DataClarity Unlimited Analytics
DbVisualizer
Hadoop
Hue
IBM watsonx.data
Kestra
Onehouse
OpenMetadata
Progress DataDirect
RazorSQL
StarTree
TEOCO SmartHub Analytics
Tonic

Integrations

Advanced Query Tool (AQT)
Amazon S3
Apache Kafka
Assure Security
Astro by Astronomer
Azure Data Lake
Coginiti
DataClarity Unlimited Analytics
DbVisualizer
Hadoop
Hue
IBM watsonx.data
Kestra
Onehouse
OpenMetadata
Progress DataDirect
RazorSQL
StarTree
TEOCO SmartHub Analytics
Tonic

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

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

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