Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Velx serves as the intelligent backbone of AI-driven engineering, aiming to simplify complexity and enhance delivery reliability. By converting undocumented intricacies into controlled processes and quantifiable speed, it automatically analyzes architecture, reveals concealed dependencies, and monitors system health with each code change. The Velx framework guides projects through a systematic three-phase development: gathering insights, formulating the strategic plan, and expediting implementation with human supervision. The Explorer component establishes a “System Brain” by linking to various repositories to extract architectural data, identify hidden dependencies, highlight areas of technical debt, and build a comprehensive knowledge base of the entire system, thus minimizing the risks associated with tribal knowledge. An architect then translates this understanding into practical strategies by incorporating enterprise limitations to outline modular boundaries, define APIs, plan database schemas, and create phased roadmaps that avert chaotic growth from the outset. With Velx, organizations can confidently navigate complexity while meeting their engineering goals effectively.
API Access
Has API
API Access
Has API
Integrations
Amazon Redshift
Apache Hive
Apache Spark
ClickHouse
Databricks
Delta Lake
Google Cloud Platform
Google Sheets
IBM Cognos Analytics
Microsoft Excel
Integrations
Amazon Redshift
Apache Hive
Apache Spark
ClickHouse
Databricks
Delta Lake
Google Cloud Platform
Google Sheets
IBM Cognos Analytics
Microsoft Excel
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
Devsu
Country
United States
Website
devsu.com/velx
Product Features
Product Features
Alternatives
Alternatives
No Alternatives