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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

For the first time, it is now possible to capture and retain data attributes such as meaning, usage, lineage, alignment with business outcomes, and ownership, which are often lost after each project, transforming them into valuable knowledge. These essential attributes can be reused effectively to enhance strategic business initiatives that rely on reliable data. By reusing data, you can achieve your objectives more swiftly. Take advantage of the hidden potential within your data to drive success. Unlocking data's potential in relation to your business context can be a game changer. Many of your projects demand similar insights and comprehension of your data, leading to the constant re-creation of the same information. Syniti can provide this critical knowledge at a significantly reduced cost and with improved precision. Rather than discarding your insights, consider unlocking and reapplying the knowledge embedded in your data. By preserving this knowledge, you create a valuable resource for future projects and insights. This approach not only saves time but also enhances overall business intelligence.

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 No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) Yes 
SAP Cloud Platform Yes 
SAP HANA Yes 
Accenture Cloud Retail Execution Yes 
Apache Superset No 
Apache Synapse No 
Apache Zeppelin No 
Boomi Yes 
Cognizant Yes 
Delta Lake No 
Google Cloud BigQuery No 
Google Data Studio No 
IBM Cloud Yes 
MariaDB No 
Melissa Clean Suite Yes 
MySQL No 
Proceed Yes 
Scala No 
Stay Staffed Yes 
Syniti Data Quality Yes 

Integrations

Amazon Web Services (AWS) Yes 
SAP Cloud Platform Yes 
SAP HANA Yes 
Accenture Cloud Retail Execution No 
Apache Superset Yes 
Apache Synapse Yes 
Apache Zeppelin Yes 
Boomi No 
Cognizant No 
Delta Lake Yes 
Google Cloud BigQuery Yes 
Google Data Studio Yes 
IBM Cloud No 
MariaDB Yes 
Melissa Clean Suite No 
MySQL Yes 
Proceed No 
Scala Yes 
Stay Staffed No 
Syniti Data Quality No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

$599/month
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Syniti

Founded

1996

Country

United States

Website

www.syniti.com/solutions/syniti-knowledge-platform/

Vendor Details

Company Name

Timbr.ai

Founded

2018

Country

United States

Website

timbr.ai/

Product Features

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

Master Data Management

Data Governance No 
Data Masking No 
Data Source Integrations No 
Hierarchy Management No 
Match & Merge No 
Metadata Management No 
Multi-Domain No 
Process Management No 
Relationship Mapping No 
Visualization No 

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