Top 9 cloud databases (Free and Paid)

Most security teams don't choose their organization's cloud databases; they inherit them. Sometimes, it's several at once, each with its own authentication model, its own idea of what an admin is and its own audit log in its own format. This post covers the nine cloud databases you're most likely to find, what each is good at, where each costs you and how each one answers the question that matters most to security teams: Who can reach the data, and what can they do once they're in?

Types of cloud database solutions

Relational database management systems

The major cloud providers continue to invest in relational database technology, such as Amazon RDS, Google Cloud SQL and Azure SQL. These solutions combine traditional SQL capabilities with cloud-native features like automatic scaling and geo-replication.

PostgreSQL and MySQL remain the preferred open-source (free) options because of their community support and extensive third-party tool ecosystems. For enterprise deployments, Oracle Autonomous Database delivers self-driving capabilities through machine learning optimization

Key features driving relational database management system (RDBMS) adoption in cloud environments include:

• multi-zone availability for faster disaster recovery.
• automated backup management with point-in-time recovery.
• serverless scaling that adjusts to workload demands.
• built-in monitoring tools for performance optimization.
• hybrid deployment options for gradual cloud migration.

NoSQL and vector databases

The rise of unstructured data and AI workloads has transformed database requirements. NoSQL databases handle diverse data types well, from documents to key-value pairs, while vector databases specialize in similarity searches central for machine learning applications.

MongoDB Atlas is one of the most widely used NoSQL platforms with its document-oriented architecture for high-performance applications across multiple geographic regions. Pinecone and Weaviate are specialized platforms that provide vector capabilities and enable efficient storage and retrieval of multidimensional data used in AI operations. Each new data store also brings a new set of credentials and a new access model, a cost that rarely gets counted when it's deployed. 

Database-as-a-service (DBaaS) platforms

Organizations seeking simplified database management increasingly turn to DBaaS solutions, which handle maintenance, security and scaling automatically. Surveys show that more enterprises now prefer DBaaS over self-managed databases because of reduced operational complexity and faster deployment times.

Leading DBaaS providers offer specialized features beyond basic hosting. MongoDB Atlas provides built-in analytics and visualization tools, while Amazon Aurora combines the reliability of commercial databases with the cost-effectiveness of open-source solutions. For organizations with specific compliance requirements, Microsoft's Azure Database for PostgreSQL includes advanced security controls and geo-replication capabilities.

Top 9 cloud database providers

Provider - AWS

Strengths:
Highly scalable and reliable; wide range of managed database services; strong security and compliance features. On-demand pricing scales with usage, reserved capacity suits predictable workloads.

Trade-offs:
Can become costly at scale; complexity in configuring and optimizing services.

What it means for access control:
IAM database authentication is available on RDS and Aurora, but many deployments still use native database users. DynamoDB authenticates through IAM only, so there is no separate credential to vault.

Provider - Microsoft Azure SQL

Strengths:
Integrates with the Microsoft ecosystem; hybrid cloud support with Azure Arc. Native AI in the database engine, including vector search and retrieval-augmented generation, plus near real-time analytics through Fabric mirroring.

Trade-offs
Higher costs than some open-source alternatives; can be complex for non-Microsoft users.

What it means for access control:
Entra ID authentication removes the need for stored SQL logins, but SQL authentication persists in legacy applications and is where standing credentials tend to accumulate.

Provider - Google Cloud Platform

Strengths:
Advanced AI and machine learning integration; competitive pricing. AlloyDB Omni is PostgreSQL-compatible and runs multi-cloud and hybrid; Vector Search runs inside the database, so models can be queried without moving data.

Trade-offs
Smaller market share than AWS and Azure; limited regional availability for some services.

What it means for access control:
Cloud SQL supports IAM database authentication, though built-in users remain common. Service account keys are the usual long-lived credential to account for.

Provider - Oracle

Strengths:
Automated performance tuning and self-healing; high security and compliance standards; multi-model support in one platform. Cloud@Customer runs Oracle Cloud databases in your own data centre with public-cloud compatibility.

Trade-offs
High licensing and operational costs; can be complex to migrate from other databases.

What it means for access control:
Rich native privilege model with its own roles and profiles, which means Oracle privileges are often governed separately from everything else in the estate.

Provider - PostgreSQL

Strengths:
Open-source and cost-effective; strong community support and extensibility; high performance with complex queries. Available managed on Amazon RDS, Azure Database and Google Cloud SQL.

Trade-offs
Requires expert tuning for optimal performance; limited built-in scalability compared with managed services.

What it means for access control:
Credentials commonly live in .env files, connection strings and CI variables. Rotation breaks whatever hard-coded them, which is why it often does not happen.

Provider - MySQL

Strengths:
Open source with strong industry adoption; easy to use and deploy; fast read operations. Managed on Amazon RDS, Azure Database and Google Cloud SQL.

Trade-offs
Not optimized for large-scale, high-concurrency workloads; limited native support for complex queries.

What it means for access control:
Same credential-sprawl pattern as PostgreSQL, with the added habit of shared application accounts that several services authenticate as.

Provider - MongoDB

Strengths:
Flexible schema design for unstructured data; highly scalable; strong support for distributed applications. Atlas adds automated backups and multi-region distribution.

Trade-offs
Query performance can degrade at scale; requires careful indexing.

What it means for access control:
Atlas supports SCRAM, x.509 and federated authentication. Self-hosted instances are where unauthenticated or default-credential deployments still turn up.

Provider - Snowflake

Strengths:
Near-instant scalability with compute and storage separated; multi-cloud support across AWS, Azure and GCP; optimized for analytics and machine learning workloads.

Trade-offs
Can be expensive for frequent, high-volume queries; requires adaptation for relational database users.

What it means for access control:
Supports SSO and key-pair authentication, and MFA can be enforced. Service accounts holding long-lived key pairs are the usual gap.

Provider - Redis Enterprise Cloud

Strengths:
Extremely fast read and write speeds; supports a variety of data structures; high availability with clustering. Suits caching, real-time analytics and event-driven workloads.

Trade-offs
Memory-intensive and requires careful cost management; not ideal for complex transactional workloads.

What it means for access control:
ACLs have been available since Redis 6, but a single shared password is still common in older deployments and in anything that started life as a cache.

Notable mentions

• IBM Db2 on Cloud. While a solid enterprise solution, it lacks widespread adoption compared to PostgreSQL or MySQL in cloud environments.
• CockroachDB. A strong player in distributed SQL, but PostgreSQL covers similar territory and has broader adoption.
• MariaDB SkySQL. A compelling alternative to MySQL, but MySQL itself is more dominant in cloud-managed services.
• Amazon-Specific Databases (like Neptune, Athena, OpenSearch). While powerful, they are more niche and vendor-specific.

Benefits and advantages of cloud databases

Scalability and performance benefits

Throughput and latency figures vary so widely by workload, instance class and data model that a single headline number means very little. What is consistent across providers is the underlying architecture: distributed designs that balance workloads across multiple nodes, so performance holds up as demand rises rather than degrading to a fixed ceiling. 

Cloud databases excel at handling variable workloads through dynamic resource allocation. When an application experiences sudden, unanticipated traffic spikes, the system provisions additional computing power and memory. This is elastic scaling, which prevents performance degradation that could negatively impact user experience or business operations.

In addition to their processing power, cloud databases leverage global data centers and edge computing capabilities to reduce latency. By replicating data closer to actual users, organizations achieve faster query response times compared to centralized deployments. This distributed approach also improves fault tolerance.

Cost management and pricing models

Cloud database pricing can be confusing, but keep in mind that they almost always come down to consumption models. The big cloud providers give their users consumption-based pricing where organizations pay for actual resource usage, CPU, storage, and data transfer.

Reserved capacity purchases can  reduce costs by 32-55% through long-term commitments, while spot instances provide even steeper discounts for non-critical workloads.

Database service costs extend beyond basic storage fees. Performance tier selection, backup retention periods, and high availability configurations significantly impact monthly expenses. Organizations must balance these choices against workload requirements and business objectives.

Security and compliance features

Cloud databases require stronger security measures than traditional on-premise solutions. Modern security frameworks emphasize encryption at rest and in transit, with granular access controls protecting data across distributed environments.

Regular security audits and automated compliance checks help organizations meet evolving regulatory standards like GDPR, HIPAA, and industry-specific requirements. Database activity monitoring captures user actions and queries in real time, providing detailed audit trails for security investigations and compliance reporting.

Multi-layer security protocols protect against both external threats and insider risks. Advanced features include automated threat detection, anomaly monitoring, and instant alerts for suspicious activities. Organizations can define custom security policies that automatically enforce compliance rules across their entire database infrastructure.

This is all per provider. Every platform in the table has credible native controls, and none of them can see the others. An organization running four of these ends up with four authentication models, four privilege schemes and four audit formats and no single answer to the question of who can reach regulated data. 

Cloud database migration strategies

Moving databases to the cloud demands careful planning to prevent disruption and maintain data integrity. Organizations need a phased approach that prioritizes business continuity while maximizing cloud platform benefits.

A hybrid migration model proves particularly effective for enterprise databases. Teams can synchronize on-premises and cloud environments during transition, allowing validation of data consistency and performance before full cutover. This approach reduces risk and provides fallback options if issues arise.

Database administrators must consider schema compatibility, data dependencies, and access patterns when selecting migration tools. Modern solutions enable automated schema conversion and data validation, streamlining the process while preserving complex relationships between tables and applications. Delinea's platform provides the granular controls needed to manage access during this transition, ensuring security remains intact as data moves between environments.

Best practices for database management

Successful database management requires a balanced approach between automation and human oversight. Organizations must implement real-time monitoring systems that track query performance, resource utilization, and user access patterns to maintain database health.

Regular performance tuning remains important, with database teams using AI-powered tools to identify bottlenecks before they impact operations. That helps prevent degraded performance that could affect user experience or business processes.

Database teams should establish clear backup and recovery procedures and test them quarterly to verify restoration capabilities. Creating documented failover processes and conducting periodic disaster recovery drills gives teams a tested way to respond effectively to outages or data corruption events. Implementing version control for database schema changes helps track modifications and simplifies rollback procedures when needed.

Governing access across all of them at once

The access control column in the table above has a pattern running through it. Every provider has a credential that someone holds, and in most estates that credential has been copied somewhere it should not be: a .env file, a CI variable, a service account key with no expiry. The native controls are capable, but they stop at each platform's boundary. 

The Delinea Platform works across that boundary. Secret Server vaults and rotates the credentials each platform needs, injecting them into the connection so the person working never handles them, and records the session. Privileged Remote Access gives engineers and third parties a route to those systems without a VPN. 

Access can be granted just-in-time rather than left standing, which is the control that matters most for the long-lived service account keys in the Snowflake and GCP rows. Privilege Control for Cloud Entitlements covers the cloud-side permissions that sit in front of the database, and machine identities cover the applications and pipelines that connect without a person involved, which, on most estates, outnumber people. 

The result worth aiming for is a single answer to the question of who can access regulated data, assembled once rather than per platform. Delinea's audit and compliance solution is where that evidence comes from. 

Cloud databases FAQ

What is a cloud database?

A cloud database is a database service built and accessed through cloud computing platforms, allowing organizations to manage large-scale data while supporting speed and security.

Unlike traditional on-premise databases, cloud databases eliminate the need for physical infrastructure by offering scalable, on-demand resources that automatically adjust to workload demands. With pay-as-you-go pricing models and rapid resource allocation, businesses can scale processing power and storage capacity within minutes, providing greater flexibility and efficiency than traditional hardware-based solutions.

What are the four types of databases?

1. Relational databases (SQL). Structured data stored in tables (e.g., PostgreSQL, MySQL).
2. NoSQL databases. Handle unstructured data in key-value, document, column-family, or graph formats (e.g., MongoDB, DynamoDB).
3. Vector databases. Optimized for AI and similarity search applications (e.g., Pinecone, Weaviate).
4. In-Memory databases. Store data in RAM for ultra-fast access (e.g., Redis, Memcached).

What is the most popular cloud database?

Amazon Aurora (AWS) is one of the most popular cloud databases, offering high-performance, scalable, and cost-effective relational database management. Other widely used options include Google Cloud SQL, Azure SQL Database, and MongoDB Atlas.

If you want to see the Delinea Platform against your own mix of platforms, book a demo today and experience secure, frictionless access to your cloud databases.