Name: Deep.BI
Author: Deep BI

Digital Adoption

Help Desk

Web and Video Conferencing

Customer Support

Software Configuration Management

WebOps

Development

Higher Education

Education

Business Intelligence (BI)

Collaboration

File Sharing

Streaming Analytics

Visual Collaboration

VoIP

Enterprise

Accounting

Payment Orchestration

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Employee Engagement

HR Management

Payroll

Recruitment Agency

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Bug Bounty

C/C++ Integrated Development Environments

Cloud Storage

Data Recovery Service

Database Management

Enterprise Architecture Management

Fraud Detection

Hadoop-Related

High Availability Cluster

Identity Governance and Administration

Integration Platform as a Service (iPaaS)

IoT Security

MLOps

Network Performance Monitoring

Network Virtualization

Non-Relational Databases

Process Mining

Session Border Controllers

Threat Hunting

Web Access Management

Web Portal

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Consumer Ratings & Reviews

Content Management

Customer Reference Management

Demand Generation

Email Marketing

Email Testing

Local Listing Management

Marketing Automation

Personalization Engines

Retail Media Advertising

SMS Marketing

Social Media Management

Survey & Forms Building

Video

Web Analytics

Marketing

Project Management

Prototyping

Professional Services

Conversation Intelligence

Customer Relationship Management (CRM)

Multichannel Retail

Sales

Insurance Underwriting and Rating

Library Management

Medical Billing

Military and Defense

Moving Software

OSS/BSS (Operations Support/Business Support)

Vertical-Specific

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Priority Matrix

Appfluence

eMeetingsOnline

ReportsNow

Crowdtap

FastPIPE

FastEST, Inc.

AspenOne Supply Chain Management

Aspen Technology

Azurepath

Azurepath, LLC.

Screenful

Screenful Oy

Aras PLM

Aras Corporation

Frosmo

Frosmo Ltd

Deep.BI is an analytics platform built on open-source technologies like Apache Druid and Apache Flink. According to the vendor, it aims to provide real-time analytics, data-driven applications, and effective storage for large-scale data processing and analysis. Deep.BI is designed to cater to enterprises and organizations of all sizes and is used by data analysts, data scientists, business intelligence professionals, IT professionals, and e-commerce companies across various industries.

## Key Features

**Deep Predictive Cache**: According to the vendor, this feature offers an external layer of caching that can accelerate query time up to 10 times. It predicts queries and pre-fetches and pre-caches them for faster results. Users have control over cache invalidation/refresh based on user, query, or time period.

**Deep Explorer**: The vendor claims that this feature provides cloud Druid-powered analytics, supporting both ad-hoc exploratory dashboards and enterprise KPI dashboards. It includes a visual query builder and API for embedded analytics and custom reporting. Additionally, it offers user management, dashboards access and privacy settings, and authorization/authentication.

**Deep Segment Reader**: The vendor states that this feature enables easy access to all historical data on-demand using the open-source Spark Druid Segment Reader. It allows data science teams to work with familiar tools like Spark and reduces data duplication between the data lake and Druid Deep Storage.

**Deep Watch**: According to the vendor, Deep Watch provides large-scale Druid monitoring and tuning. It analyzes metrics on a large scale and optimizes performance. This feature also analyzes API usage and dashboard usage to identify performance issues and offers root cause analysis of stability or performance issues.

**24/7 Support for Apache Druid**: The vendor offers SLA or No-SLA support plans for Apache Druid. According to the vendor, the support includes installation, troubleshooting, tuning, and monitoring expertise. It covers both on-premise and cloud platforms, including AWS, Azure, and GCP. Additionally, the vendor assists with Apache Druid architecture and data ingestion planning.

**Apache Flink Support & Maintenance**: According to the vendor, this feature provides 24/7 incident management and multiple level SLAs for Apache Flink. It offers daily maintenance, proactive monitoring, and performance tuning. The vendor also provides assistance with Flink upgrades, configuration fine-tuning, and hardware optimization. Similar to Apache Druid support, it supports on-premise and cloud platforms.

**Apache Druid Training**: The vendor offers a comprehensive training program designed to transform engineers into Druid experts. The training covers various topics such as Druid introduction, installation, data loading, querying, administration, and optimization. It includes theoretical lectures and practical workshops for hands-on experience. The vendor states that the learning plans can be custom-tailored to match specific requirements.

**Managed Druid**: The vendor provides managed Druid services for on-premise or cloud deployment. This feature includes DevOps support, daily maintenance, and upgrades. It also includes unique Druid add-ons like Deep Explorer, Deep Predictive Cache, and Deep Segment Reader. Performance tuning, hardware optimization, and high availability SLAs with proactive monitoring are part of the package.

Viewer

Standard User

Developer

ANTserver

Business Intelligence Accelerator

TARGIT

Personal

Team

Department

Organization

Clear Analytics

Deep.BI

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Deep BI

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

Salesforce

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.

Multi-User Support (named login)

Named model access means that users have access based on name and password.

Role-Based Security Model

Role-based access means that access to data is determined by job or position in the corporation.

Deep.BI

Overview

What is Deep.BI?