Name: MarkLogic Data Platform
Author: Progress Software

Help Desk

Web and Video Conferencing

Customer Support

Augmented Reality Development

Chatbot

Development

Business Intelligence (BI)

Collaboration

Data Analytics  and BI Services

Document Management

Intellectual Property (IP) Management

Meeting Management

Enterprise

Accounting

Blockchain Payments

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Employee Monitoring

Employee Referral

HR Management

Payroll

Stock Option Plan Administration

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

3D Printing

AI Governance

Change Management

Cloud Migration

Cloud Storage

Continuous Delivery

Database-as-a-Service (DBaaS)

DevSecOps

Fraud Detection

IT Alert Management

IT Professional Services

Integration Platform as a Service (iPaaS)

Managed File Transfer (MFT)

Network Performance Monitoring

Network Traffic Analysis (NTA)

Server Virtualization

Software-Defined WAN

System Monitoring

Test Management

Time Series Databases

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Call Tracking

Channel Management

Content Management

Email Marketing

Headless CMS

Marketing Attribution

Marketing Automation

Referral Marketing

Social Media Advertising

Social Media Management

Survey & Forms Building

Translation

Web Analytics

Wholesale Marketplace

Marketing

Project Management

Professional Services

Customer Relationship Management (CRM)

Proposal

Sales Enablement

Sales Training

Sales

Data-Centric Audit Protection (DCAP)

Operational Technology (OT) Security

Security

Aviation

Camp Management

Construction Takeoff and Estimating

Financial Services CRM

Hospital Management

Medical Office EMR & EHR

Population Health Management

Vertical-Specific

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Oracle Database

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PostgreSQL Global Development Group

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Teradata Vantage

Teradata

OpenText Vertica

OpenText

Oracle Exadata

Amazon Redshift

Amazon AWS

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The MarkLogic Data Platform is a unified data platform that brings multi-structured data together and curates it for transactional and analytical purposes. The Data Hub ingests data from any source, indexes it for query and search, and curates it. The Data Hub is powered by the MarkLogic's Multi-Model Database.

It can be deployed through MarkLogic's Data Hub Service, an on-demand, fully-managed cloud data hub (DBaaS) with built-in governance and  security, available on AWS and Azure, or it can be deployed self-managed on any environment.

Google's BigQuery is part of the Google Cloud Platform, a database-as-a-service (DBaaS) supporting the querying and rapid analysis of enterprise data.

Standard edition

Enterprise edition

Enterprise Plus edition

Google BigQuery

Azure Synapse Analytics is described as the former Azure SQL Data Warehouse, evolved, and as a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives users the freedom to query data using either serverless or provisioned resources, at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

Tier 1

Tier 2

Tier 3

Tier 4

Tier 5

Tier 6

Azure Synapse Analytics

MarkLogic Data Platform

A Data Warehouse Appliance (DWA) is generally a pre-configured architecture specifically dedicated to big data analytics and as such emphasizes simplicity, focus, and high performance with data over general computational needs.

Data Warehouse

Progress Software Corporation (NASDAQ: PRGS) is a global software company that simplifies the development, deployment and management of business applications on-premise or on any Cloud, on any platform and on any device with minimal IT complexity and low total cost of ownership. Over 400,000 end-user customers globally run on Progress OpenEdge-based applications, and more than 1,400 ISVs around the world are powered by Progress Software.

Progress Software

A data warehouse is usually a relational database, designed specifically for data analysis instead of standard transactional processing

High-Volume Data Processing

The product's ability to efficiently process large amounts of data.

Data Warehouse Management

The effectiveness of the product’s tools for loading, transforming, sharing, and exploring data, schemas, and dependencies.

Administrative Automation

The product’s capacity to automate administrative tasks such as patching, scaling, and creating backups.

Self-Optimization

The product’s capability to monitor and adjust internal metrics and systems to keep performance as high as possible.

Data Modeling

A data model is a diagram or flowchart that illustrates the relationships between data

Data model creation

Ability to create and maintain data models using a graphical tool to define relationships between data

Data Exploration

Ability to explore data and develop insights

Visualization

The product’s support and tooling for analysis and visualization of data.

Data Security

Tools and features that help keep data secure from unauthorized access or internal exposure.

At-Rest Data Encryption

Data at rest is encrypted, requiring decryption to read the underlying data.

In-Transit Data Encryption

Data is transmitted in an encrypted state, preventing interception of raw in-flight data.

In-Use Data Encryption

Data remains encrypted even when stored in non-persistent storage (RAM, CPU caches, and CPU registers). This prevents access to data through malware on an individual device.

Data Redaction

The product's capability to return redacted data in place of actual data when queried. For instance, a redacted query for the phone number 555-5555 could return ***-**55.

Data Masking

The product's capability to use real data to create false data with an identical structure. For instance, this could be used to generate testing data or training data that reflects the data structure without exposing sensitive information.

Access Control and Security

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

Multiple Access Permission Levels (Create, Read, Delete)

Multiple access permission levels means that different levels of users have different rights.

Single Sign-On (SSO)

Allows users to use one set of login credentials to access multiple applications

Location-Based Data Governance

Refers to how well the software enables users to comply with data privacy standards regarding the use of precise location data for customers.

Multi-User Support (named login)

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

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MarkLogic Data Platform

Overview

What is MarkLogic Data Platform?