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What is Timbr.ai?
The intelligent semantic layer integrates data with its relevant business context and interrelationships, streamlining metrics and accelerating the creation of data products by enabling SQL queries that are up to 90% shorter. This empowers users to model the data using terms they are familiar with, fostering a shared comprehension and aligning metrics with organizational goals. By establishing semantic relationships that take the place of conventional JOIN operations, queries become far less complex. Hierarchies and classifications are employed to deepen data understanding. The system ensures automatic alignment of data with the semantic framework, facilitating the merger of different data sources through a robust distributed SQL engine that accommodates large-scale queries. Data is accessible in the form of an interconnected semantic graph, enhancing performance and decreasing computing costs via an advanced caching mechanism and materialized views. Users benefit from advanced query optimization strategies. Furthermore, Timbr facilitates connections to an extensive array of cloud services, data lakes, data warehouses, databases, and various file formats, providing a smooth interaction with data sources. In executing queries, Timbr not only optimizes but also adeptly allocates the workload to the backend for enhanced processing efficiency. This all-encompassing strategy guarantees that users can engage with their data in a more effective and agile manner, ultimately leading to improved decision-making. Additionally, the platform's versatility allows for continuous integration of emerging technologies and data sources, ensuring it remains a valuable tool in a rapidly evolving data landscape.
What is Microsoft Fabric?
Integrating all data sources with analytics services into a unified AI-driven platform will revolutionize the way individuals access, manage, and utilize data along with the insights derived from it.
With all your data and teams consolidated in one location, collaboration becomes seamless.
Develop a centralized lake-centric hub that empowers data engineers to link various data sources and curate them effectively. This approach will reduce data sprawl while enabling the creation of tailored views for diverse user needs.
By fostering the advancement of AI models without the need to transfer data, analysis can be accelerated, significantly cutting down the time required for data scientists to produce valuable insights.
Tools like Microsoft Teams, Microsoft Excel, and other Microsoft applications can significantly enhance your team's ability to innovate rapidly.
Facilitate responsible connections between people and data with a flexible, scalable solution that enhances the control of data stewards, bolstered by its inherent security, compliance, and governance features.
This innovative framework encourages collaboration and promotes a culture of data-driven decision-making across the organization.
Integrations Supported
Microsoft Excel
Salesforce
Snowflake
AnalyticsCreator
Azure Databricks
FLIP
Google Analytics
Google Cloud BigQuery
Google Cloud Storage
JupyterHub
Integrations Supported
Microsoft Excel
Salesforce
Snowflake
AnalyticsCreator
Azure Databricks
FLIP
Google Analytics
Google Cloud BigQuery
Google Cloud Storage
JupyterHub
API Availability
Has API
API Availability
Has API
Pricing Information
$599/month
Free Trial Offered?
Free Version
Pricing Information
$156.334/month/2CU
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Timbr.ai
Date Founded
2018
Company Location
United States
Company Website
timbr.ai/
Company Facts
Organization Name
Microsoft
Date Founded
1975
Company Location
United States
Company Website
www.microsoft.com/en-us/microsoft-fabric
Categories and Features
Categories and Features
Data Fabric
Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management