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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 Stardog?

With immediate access to a highly adaptable semantic layer, explainable AI, and reusable data modeling, data engineers and scientists can enhance their performance by as much as 95%. This capability allows them to develop and refine semantic models, grasp the connections within data, and execute federated queries, thereby accelerating the journey to actionable insights. Stardog stands out with its graph data virtualization and top-tier graph database, which are offered at a cost that can be as much as 57 times lower than those of its rivals. This solution facilitates seamless integration of any data source, data warehouse, or enterprise data lakehouse without the need for data duplication or relocation. Moreover, it enables the scaling of user engagement and use cases while significantly reducing infrastructure expenses. In addition, Stardog’s intelligent inference engine dynamically leverages expert knowledge during query execution to reveal hidden patterns and unexpected relationships, ultimately leading to enhanced data-driven business decisions and outcomes. By harnessing such advanced technologies, organizations can stay ahead of the competitive curve in a rapidly evolving data landscape.

Media

Media

Integrations Supported

Salesforce
Amazon Athena
Amazon Aurora
Apache Drill
Apache Spark
Apache Synapse
Delta Lake
Domo
Google Sheets
Hackolade
IBM Cognos Analytics
Java
Microsoft Azure
MongoDB
PostgreSQL
Qlik Data Integration
SAP Cloud Platform
Snowflake
Tableau
data.world

Integrations Supported

Salesforce
Amazon Athena
Amazon Aurora
Apache Drill
Apache Spark
Apache Synapse
Delta Lake
Domo
Google Sheets
Hackolade
IBM Cognos Analytics
Java
Microsoft Azure
MongoDB
PostgreSQL
Qlik Data Integration
SAP Cloud Platform
Snowflake
Tableau
data.world

API Availability

Has API

API Availability

Has API

Pricing Information

$599/month
Free Trial Offered?
Free Version

Pricing Information

$0
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

Stardog Union

Date Founded

2006

Company Location

United States

Company Website

www.stardog.com

Categories and 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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