Last updated June 5th 2024

Top 14 Cloud Database Management Systems (DBMS) Requirement Checklist in 2025

Scalable, secure data storage and management in the cloud for optimized performance.

This requirements table for Cloud Database Management Systems (DBMS) products clearly outlines the key features and functionalities considered when evaluating vendors. We include Policy Management, Lifecycle, Attack Protection, Access Controls, Pricing, Administration, Integration, Compliance, Performance, Traffic Management, Scalability, Security, Authentication and Use Case Fit.

Other important considerations may include the level of technical support offered, the availability of detailed documentation and developer resources, and pricing and licensing options. Customize these requirements in Taloflow and get expert ratings for 15 different vendors against all of the features in the table below, including None.

Evaluating solutions?
Work with Taloflow's technology selection platform containing tens of thousands of up-to-date vendor data points in dozens of categories to:
Get a detailed requirements table
Filter solutions based on your priorities
Evaluate vendors for your exact use case
Get my free report
takes 5 minutes
Requirement Description Features
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.
  • Alerting
  • Capacity Planning
  • Change Management
  • Monitoring
  • Workload Management
Must comply with security and compliance standards Must adhere to established security standards to ensure data protection.
  • CCPA
  • FFIEC
  • FISMA
  • FedRAMP
  • GDPR
  • HIPAA
  • HITRUST
  • IRAP
  • MTCS
  • PCI
  • PSD2
  • SOC
  • SOX
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.
  • Auto-Scaling
  • Clustering
  • Data Partitioning
  • Regional Scalability
  • Storage Control
Must have access control Must have access control for different groups based on roles within the organization.
  • Group-Level Security
Must have fast deployment Must support different deployment models as well as eliminate the need to purchase hardware and set up a network.
  • Hybrid Cloud
  • Self-Hosted Cloud
  • Serverless Architecture
  • dbPaaS
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
Must protect the data Must secure data whether it is stored or in transmission.
  • Column-Level Security
  • Data Masking
Must provide analytics and integrations Must perform analytics and generate insights from the data available in the database.
  • Apache Spark
  • Domo
  • Knime
  • Metabase
  • Operational Reporting
  • Pentaho
  • Power BI
  • SAS BI
  • Splunk
  • Tableau
  • Zoho BI and Analytics
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.
  • Alteryx
  • Azure Data Factory
  • Boomi
  • Collibra
  • Denodo
  • Informatica
  • OneTrust
  • Qlik
  • SnapLogic
  • Talend
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
Must provide query performance optimization Must optimize query performance for faster results with less resource consumption and fewer failures.
  • Automated Query Governance
  • Cost-Based Query Optimizer
  • Parallel Query Execution
  • Rule-Based Query Optimizer
Must provide strong security at the transport layer Must provide security at the network level to control access to database servers.
  • Key Management
  • SQL Proxy
  • Transport Layer Security
Must support different databases Must support different types of databases to accommodate non-relational types of data.
  • Graph Database
  • Graph Language Support
  • MultiDimensional Tables
  • MultiDimensional Views
  • OLAP Database Support
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
Evaluating solutions?
Work with Taloflow's technology selection platform containing tens of thousands of up-to-date vendor data points in dozens of categories to:
Get a detailed requirements table
Filter solutions based on your priorities
Evaluate vendors for your exact use case
Get my free report
takes 5 minutes

Disclaimer

Taloflow does not guarantee the accuracy of any information on this page including (but not limited to) information about 3rd party software, product pricing, product features, product compliance standards, and product integrations. All product and company names and logos are trademarks™ or registered® trademarks of their respective holders. Use of them does not imply any affiliation or endorsement. Vendor views are not represented in any of our sites, content, research, questionnaires, or reports.