Name: DbFace
Price: 9 USD
Rating: 6 (1 reviews)
Author: DbFace

Help Desk

Web and Video Conferencing

Customer Support

Beta Testing

Continuous Integration

Development

Alumni Management

Education

Business Intelligence (BI)

Collaboration

Contract Analysis

Demand Planning

Emissions Management

Knowledge Management

Online Notary

Payment Facilitation

Enterprise

Accounting

Travel Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

HR Service Delivery

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

AIOps

API Design

App Development

Cloud Storage

Data Center Backup

Data Center Networking

Data Center Outsourcing (Canada)

Data Integration

Data Replication

Database-as-a-Service (DBaaS)

Enterprise Printing

Fraud Detection

Integration Platform as a Service (iPaaS)

Managed Detection and Response (MDR)

Mobile Data Security

Network Performance Monitoring

Secure Access Control

Service Virtualization

Value Stream Management

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Content Marketing

Creative Management

Ecommerce Personalization

Email Marketing

Market Research

Marketing Automation

Marketing Resource Management

Social Media Analytics

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

Project Management

Professional Services

Customer Onboarding

Customer Relationship Management (CRM)

Point of Sale

Predictive Sales Analytics

Sales Consulting

Sales Dialer

Sales Incentive Compensation Management

Sales Training

Sales

Virtualization Security

Security

Financial Services CRM

Hospital Management

Medical Office EMR & EHR

Revenue Cycle Management (RCM)

Shipping

eDiscovery

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Users have found DbFace to be a valuable tool for analyzing data and evaluating the quality of their deliverables. By using DbFace's no-code approach to server-based applications, users are able to integrate various SQL databases without extensive coding knowledge, saving time and effort. One key use case is building insightful analytics visualizations on top of databases, allowing users to gain valuable insights without the need for coding. Additionally, DbFace enables users who are not proficient in coding to create web-based applications, aiding their office work in generating graphs and reports efficiently.

DbFace simplifies the process of performing different SQL operations by providing a single platform for users to perform all necessary tasks. This eliminates the need for multiple tools and streamlines workflows. Another significant use case is the ability to build face recognition and analytics applications using DbFace, which saves companies time and effort in developing this technology from scratch. Users have tried various software options but have found DbFace to be the only one that meets their needs, further highlighting its effectiveness in solving business problems.

Furthermore, DbFace significantly reduces the time and effort required for data visualization, enabling users to easily put data in the correct format for effective communication. This addresses a common challenge faced by businesses by providing a user-friendly solution that enhances data presentation capabilities. Overall, DbFace solves various business problems such as data analysis, application development, SQL operations, face recognition integration, and data visualization, making it an indispensable tool for users across different industries.

Versatility with SQL and NoSQL databases: Users have found DbFace to be a versatile tool that works well with both SQL and NoSQL databases, providing them with full control over their data. Several reviewers have praised this flexibility, stating that it allows them to easily create a business intelligence platform.

Quick and convenient SQL operations: The speed and convenience of SQL operations in DbFace have been highly appreciated by users. They find these operations quick and handy, making it easier for them to perform analytical tasks and simplifying the process of building BI dashboards.

User-friendly interface for non-technical users: DbFace has been lauded by users who do not have a technical background for its user-friendly interface. Multiple reviewers have highlighted the drag-and-drop feature in the user interface, which eliminates the need for coding when creating BI dashboards. This ease of use makes it accessible to anyone and enables effective contribution regardless of technical skills.

User Interface: Some users have expressed their dissatisfaction with the user interface of DbFace, stating that it needs improvement in terms of being more user-friendly. 

Limited Free Version: Reviewers have mentioned that the free version of DbFace may not be as friendly or feature-rich as other tools available in the market. This could be a drawback for companies looking to do initial testing or evaluation of the tool without committing to a paid plan.

Expensive On-Premises License: Several users have found the pricing for an on-premises license of DbFace to be on the higher side. They suggested that DbFace should offer pricing options for specific premium features, as not all users require or want to pay for all the premium features offered by the tool.

DbFace is an online database application builder and self service BI solution for existing SQL databases like MySQL, SQL Server, and Oracle.

Personal

Standard

Plus

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DbFace

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BI Platform

Administration via Windows App

Administration via MacOS App

Administration via Web Interface

Live Connection to External Data

Snapshot of External Data

In-memory data model

OLAP (Pre-processed cube representation)

ROLAP (SQL-layer querying)

Multi-Data Source Reporting (Blending)

Data warehouse / dictionary layer

ETL Capability

ETL Scheduler

Supported Data Sources

Data sources that can be consumed by the application.

MS Excel Workbooks

Text Files (CSV, etc)

Oracle

MS SQL Server

IBM DB2

Postgres

MySQL

ODBC

Cloudera Hadoop

Hortonworks Hadoop

EMC Greenplum

IBM Netezza

HP Vertica

ParAccel

SAP Hana

Teradata

Sage 500

Google Analytics

BI Standard Reporting

Standard reporting means pre-built or canned reports available to users without having to create them.

Pixel Perfect reports

Pixel Perfect reports are highly-formatted reports with graphics and ability to preview the report before printing.

Customizable dashboards

Customizable dashboards are dashboards providing the builder some degree of control over the look and feel and display options.

Report Formatting Templates

Ad-hoc Reporting

Ad-Hoc Reports are reports built by the user to meet highly specific requirements.

Drill-down analysis

Drill down analysis is the ability to get to a further level of detail by going deeper into the hierarchy.

Formatting capabilities

Ability to format output e.g. conditional formatting, lines, headers, footers.

Predictive modeling

Predictive modeling is the ability to build future forecasting models.

Integration with R or other statistical packages

Integration with the open-source R predictive modeling environment.

Report sharing and collaboration

Report sharing and collaboration is the ability to easily share reports with others.

Report Output and Scheduling

Ability to schedule and manager report output.

Publish to Web

Publish to PDF

Output Raw Supporting Data

Report Versioning

Report versioning is the assignment of version numbers to each version of a report to help in tracking.

Report Delivery Scheduling

Report Delivery Schedule is the ability to have reports delivered to a destination at a specific data and time.

Delivery to Remote Servers

Ability to deliver reports to remote servers

Data Discovery and Visualization

Data Discovery and Visualization is the analysis of multiple data sources in a search for patterns and outliers and the ability to represent the data visually.

Pre-built visualization formats (heatmaps, scatter plots etc.)

Pre-built visualization formats are canned visualization types that can be selected to visualize different kinds of data.

Location Analytics / Geographic Visualization

Location analytics is the visualization of geographical or spatial data.

Predictive Analytics

Predictive Analytics is the ability to build forecasting models based on existing data sets.

Support for Machine Learning models

Machine learning refers to computer programs that can learn when exposed to new data.

Pattern Recognition and Data Mining

Pattern recognition and data mining mean the ability to recognize hidden patterns in large quantities of data.

Access Control and Security

Access control means being able to determine who has access to which data.

DbFace

Overview

What is DbFace?