Cloud Database (Cloud DBMS) Requirements Template, Checklist and Gathering Document

This requirements table for Cloud DBMS products clearly outlines the key features and functionalities considered when evaluating vendors. We include security of the underlying data, the ability to handle high resource demands and scale automatically, support for different data-related use cases, and performance tuning and optimization. Other important considerations may include the ability to handle large data sets, replication and disaster recovery, and the level of integration with other cloud services.

Cloud DBMS Requirements Table

Cloud DBMS

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Must protect the data

Must secure data whether it is stored or in transmission.

Data Masking, Data Encryption, Row-level Security, Column-level Security

Security

Must provide identity management

Must support identity management features for strong and adaptive authentication, privacy management, cross-protocol, SSO, and more.

Identity Management, User Authentication

Security

Must provide strong security at the transport layer

Must provide security at the network level to control access to database servers.

Transport Layer Security, SQL Proxy, Key Management

Security

Must have access control

Must have access control for different groups based on roles within the organization.

RBAC, Group-level Security

Security

Must provide query performance optimization

Must optimize query performance for faster results with less resource consumption and fewer failures.

Rule-based Query Optimizer, Cost-based Query Optimizer, Parallel Query Execution, Automated Query Governance

Performance

Must handle changing resource demands

Must provide the ability for the database to adjust to demand by adding or removing resources, or altering the amount of data, volume of requests, and size of requests.

Storage Control, Auto-scaling, Regional Scalability, Data Partitioning, Clustering

Scalability

Performance

Must have fast deployment

Must support different deployment models as well as eliminate the need to purchase hardware and set up a network.

Serverless Architecture, dbPaaS, Self-hosted Cloud, Hybrid Cloud

Use Case Fit

Must have remote data access

Must have features that allow users to have quick access to cloud databases remotely through the provider's API or web interface.

API Access, Integrated Search

Use Case Fit

Must support different methods for data loading and extracting

Must support loading or extracting different types of data with scalability and performance.

Bulk Data Loading, Real-time Data Loading, Streaming Data Support

Use Case Fit

Must support different databases

Must support different types of databases to accommodate non-relational types of data.

Graph Database, OLAP Database Support, Graph Language Support, Multidimensional Views, Multidimensional Tables

Use Case Fit

Must provide analytics and integrations

Must perform analytics and generate insights from the data available in the database.

Operational Reporting, Power BI, Knime, Tableau, Apache Spark, Splunk, SAS BI, Pentaho, Domo, Zoho, Metabase

Use Case Fit

Administration

Must be suitable for database administrators

Must help database administrators effectively manage and monitor the transactions in the database and alert the users of any problems.

Workload Management, Capacity Planning, Monitoring, Alerting, Change Management

Administration

Must provide easy integration with third party services

Must integrate with analytics, metadata management tools or data integration tools so users can analyze the data, send the data to different systems and manage the metadata.

Informatica, Talend, Boomi, SnapLogic, Azure Data Factory, Denodo, OneTrust, Qlik, Alteryx, Collibra, Power BI, Knime, Tableau, Apache Spark, Splunk, SAS BI, Pentaho, Domo, Zoho, Metabase

Integration

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