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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

TDR Kotelnikov is an advanced wideband dynamics processor that seamlessly blends high-fidelity dynamic range control with exceptional musical adaptability. As a successor to the esteemed TDR Feedback Compressor series, Kotelnikov carries forward distinctive attributes like a reliable control scheme, separate release adjustments for both peak and RMS elements, a user-friendly interface, and cutting-edge, high-precision algorithms. Its sonic character, often referred to as "stealthy," allows for substantial manipulation of dynamic range while maintaining the integrity of the original tone, timbre, and punch of musical signals. This makes it an ideal choice for stereo bus compression as well as other essential applications. Additionally, the “Gentleman’s Edition” (GE) enhances the standard version with several features, including easy access to various equal loudness workflows and the capability to set frequency-dependent ratios, providing even greater versatility for audio professionals. This two-tiered approach ensures that users can tailor their compression techniques to suit specific needs effectively.

Description

The intelligent semantic layer merges data with its business context and interconnections, consolidates metrics, and speeds up the production of data products by allowing for SQL queries that are 90% shorter. Users can easily model the data using familiar business terminology, creating a shared understanding and aligning the metrics with business objectives. By defining semantic relationships that replace traditional JOIN operations, queries become significantly more straightforward. Hierarchies and classifications are utilized to enhance data comprehension. The system automatically aligns data with the semantic model, enabling the integration of various data sources through a robust distributed SQL engine that supports large-scale querying. Data can be accessed as an interconnected semantic graph, improving performance while reducing computing expenses through an advanced caching engine and materialized views. Users gain from sophisticated query optimization techniques. Additionally, Timbr allows connectivity to a wide range of cloud services, data lakes, data warehouses, databases, and diverse file formats, ensuring a seamless experience with your data sources. When executing a query, Timbr not only optimizes it but also efficiently delegates the task to the backend for improved processing. This comprehensive approach ensures that users can work with their data more effectively and with greater agility.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Athena
Amazon Web Services (AWS)
Apache Drill
Apache Parquet
Apache Spark
Databricks Data Intelligence Platform
Delta Lake
Google Cloud Platform
Google Sheets
IBM Cognos Analytics
Looker
MariaDB
Microsoft Excel
PostgreSQL
R
SAP HANA
SQLAlchemy
Scala
Tableau
Trino

Integrations

Amazon Athena
Amazon Web Services (AWS)
Apache Drill
Apache Parquet
Apache Spark
Databricks Data Intelligence Platform
Delta Lake
Google Cloud Platform
Google Sheets
IBM Cognos Analytics
Looker
MariaDB
Microsoft Excel
PostgreSQL
R
SAP HANA
SQLAlchemy
Scala
Tableau
Trino

Pricing Details

€50 one-time payment
Free Trial
Free Version

Pricing Details

$599/month
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

Tokyo Dawn Records

Founded

2009

Country

Germany

Website

www.tokyodawn.net/tdr-kotelnikov-ge/

Vendor Details

Company Name

Timbr.ai

Founded

2018

Country

United States

Website

timbr.ai/

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