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ease
features
design
support

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Description

Data stands as the most essential asset for any organization, but its true value emerges only when it is effectively utilized and optimized. As the volume of data continues to surge, and as enterprises grapple with disconnected application ecosystems and an increasing variety of data types, many find it challenging to maintain data quality. Through enterprise data management, organizations can extract valuable insights and discover new avenues for competitive advantage, which in turn aids in cost control, customer understanding, and enhancing profitability. OpenText's enterprise data management solutions cater to a wide array of needs, covering aspects such as data governance, quality, security, and beyond. By leveraging OpenText™ Alloy™, businesses can transcend mere data integration, transforming raw data into actionable insights. Alloy empowers organizations to harmonize, cleanse, enrich, and consolidate their data within a unified cloud platform, ultimately boosting automation and operational efficiency. This holistic approach not only streamlines data handling but also fosters informed decision-making, positioning organizations for long-term success.

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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Athena
Amazon Web Services (AWS)
Apache Hive
Apache Synapse
Domo
Google Cloud BigQuery
Google Sheets
JupyterHub
MariaDB
Microsoft Azure
MySQL
OpenText Core Content Management
Otoedi
PostgreSQL
Python
Qlik Data Integration
SAP Cloud Platform
Snowflake
Tableau
Trino

Integrations

Amazon Athena
Amazon Web Services (AWS)
Apache Hive
Apache Synapse
Domo
Google Cloud BigQuery
Google Sheets
JupyterHub
MariaDB
Microsoft Azure
MySQL
OpenText Core Content Management
Otoedi
PostgreSQL
Python
Qlik Data Integration
SAP Cloud Platform
Snowflake
Tableau
Trino

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$599/month
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

OpenText

Founded

1991

Country

Canada

Website

businessnetwork.opentext.com/enterprise-data-management/

Vendor Details

Company Name

Timbr.ai

Founded

2018

Country

United States

Website

timbr.ai/

Product 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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