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ease
features
design
support

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Write a Review

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.

Description

Graphs represent one of the most adaptable formal data structures, allowing for straightforward mapping of various data formats while effectively illustrating the explicit relationships between items, thus facilitating the integration of new data entries and the exploration of their interconnections. The inherent semantics of the data are clearly defined, incorporating formal methods for inference and validation. Serving as a self-descriptive data model, knowledge graphs not only enable data validation but also provide insights on necessary adjustments to align with data model specifications. The significance of the data is embedded within the graph itself, represented through ontologies or semantic frameworks, which contributes to their self-descriptive nature. Knowledge graphs are uniquely positioned to handle a wide range of data and metadata, evolving and adapting over time much like living organisms. Consequently, they offer a robust solution for managing and interpreting complex datasets in dynamic environments.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Athena
Amazon Aurora
Amazon Web Services (AWS)
Apache Drill
Apache Hive
Apache Spark
Apache Superset
Apache Synapse
Apache Zeppelin
ClickHouse
Databricks
Domo
Google Cloud Platform
Microsoft Azure
PostgreSQL
Python
SQL Server
Scala
Snowflake
Trino

Integrations

Amazon Athena
Amazon Aurora
Amazon Web Services (AWS)
Apache Drill
Apache Hive
Apache Spark
Apache Superset
Apache Synapse
Apache Zeppelin
ClickHouse
Databricks
Domo
Google Cloud Platform
Microsoft Azure
PostgreSQL
Python
SQL Server
Scala
Snowflake
Trino

Pricing Details

$599/month
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

Timbr.ai

Founded

2018

Country

United States

Website

timbr.ai/

Vendor Details

Company Name

TopQuadrant

Country

United States

Website

www.topquadrant.com

Product Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

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