Name: Alibaba Cloud MaxCompute
Author: Alibaba Cloud

Digital Adoption

Help Desk

Web and Video Conferencing

Customer Support

Bug  Tracking

Development

Audit

Business Intelligence (BI)

Collaboration

Communications Platform as a Service (CPaaS)

Partner Relationship Management

Workspace Planning

Enterprise

Accounting

Financial Planning and Analysis (FP&A)

Payment Orchestration

Finance and Accounting

Applicant Tracking

Contractor Management

Corporate Learning Management

HR Management

Payroll

Talent Intelligence

Talent Management

Vendor Management Systems (VMS)

Workforce Analytics

Workforce Management

Human Resources

Application Server

Archiving

Blockchain Analysis

Bot Mitigation

Browser

Cloud Storage

Compliance Consulting

Composable Infrastructure

Computerized Maintenance Management Systems (CMMS)

Data Center Outsourcing (Europe)

Data Masking

Desktop Management

Desktop Outsourcing

Email Encryption

Enterprise Architecture Management

Fraud Detection

IT Operations Analytics

Integration Platform as a Service (iPaaS)

Network Performance Monitoring

SOA Application Gateways

Smart Contracts

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Digital Analytics

Digital Content Creation

Domain Registration Services

Email Marketing

Heatmap and Session Recording

IP Geolocation

Local Listing Management

Marketing Automation

Native Advertising

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

Project Management

Prototyping

Professional Services

Customer Relationship Management (CRM)

Lead Generation Services

Sales Email Tracking

Social Commerce

Sales

Video Surveillance

Security

Clinical Data Management

Healthcare Learning Management

PCB Design

Real Estate

Scholarship Management

Utilities

Vertical-Specific

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Alibaba Cloud MaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousing. MaxCompute supports various data importing solutions and distributed computing models, enabling users to effectively query massive datasets, reduce production costs, and ensure data security.

Teradata Vantage is presented as a modern analytics cloud platform that unifies everything—data lakes, data warehouses, analytics, and new data sources and types. Supports hybrid multi-cloud environments and priced for flexibility, Vantage delivers unlimited intelligence to build the future of business.

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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

Alibaba Cloud MaxCompute

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

Alibaba Cloud

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.

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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MaxCompute

MaxCompute

Overview

What is MaxCompute?