Trusted by 20,000+ Businesses Managed Databases Service Built for Production
Run managed PostgreSQL, MySQL, MariaDB, Redis, Kafka, RabbitMQ and FerretDB with automated backups, automatic failover, built-in monitoring and expert support.
- High availability options
- Automated backups and recovery
- Real-time monitoring
- Expert migration support
$ acecloud db create postgresql-prod
Initializing managed database...
Choose the Right Managed Database as a Service for Your Workload
Explore fully managed database engines built for transactional apps, caching, event streaming, message queuing, and modern production workloads.
PostgreSQL
Relational workloads, OLTP applications, analytics-heavy queries, and modern SaaS platforms.
- ACID compliance
- Advanced indexing
- Extensible architecture
- Automatic patching and upgrades
MySQL
Web applications, read-heavy workloads, ecommerce platforms, and general-purpose database deployments.
- High performance
- Wide ecosystem
- Easy application compatibility
MariaDB
Managed MariaDB for MySQL-compatible deployments that need flexibility, modern enhancements, and a familiar relational model.
- MySQL compatibility
- Modern features
- Production-ready engine
Redis
Managed Redis hosting for caching, session storage, fast key-value access, and low-latency application performance.
- In-memory performance
- Session handling
- Real-time workloads
Kafka
Managed Kafka for event streaming, real-time pipelines, log processing, and large-scale data movement between services.
- High-throughput streaming
- Event-driven architecture
- Scalable pipelines
- High availability brokers
RabbitMQ
Managed RabbitMQ for queues, background jobs, asynchronous messaging, and service-to-service communication.
- Reliable delivery
- Queue-based architecture
- Flexible routing
FerretDB
Document-style workloads that need MongoDB-compatible behavior on a PostgreSQL foundation.
- Document model support
- PostgreSQL-backed
- Developer-friendly adoption
What You Get with AceCloud Managed Database Services
Reduce operational overhead with managed capabilities designed for reliability, security, and day-to-day database performance.
Automated patching and updates
Keep your databases secure, current and stable with automated security updates, patches and zero-downtime maintenance workflows where applicable.
Backups and recovery
Protect your data with automated backups, point-in-time recovery and recovery options designed for business-critical workloads.
Real-time monitoring and analytics
Track performance, usage, and operational health with visibility into your managed database environment.
High availability and failover
Support uptime-sensitive applications with high availability and automatic failover deployment models designed for resilience and continuity.
Secure access and encryption
Control access, isolate environments, and secure data in transit and at rest with enterprise-ready safeguards.
Migration assistance
Move from another provider or existing setup with expert support for planning, cutover and validation.
Pick the Right Deployment Model for Availability, Cost, and Scale
Choose an architecture that matches your workload requirements, resilience goals, and budget.
Standalone
Best for: Development, testing, and low-traffic applications
Resilience: Single-node deployment
Cost implication: Most cost-effective option
Upgrade path: Easy to upgrade to HA when needed
High Availability Cluster
Best for: Production applications with uptime requirements and automatic failover
Resilience: Primary and replica architecture with failover support
Cost implication: Higher than standalone pricing
Upgrade path: Production-grade from day one
Redis Sentinel / Cluster
Best for: Caching, session storage, and high-speed workloads
Resilience: Supports failover and horizontal growth
Cost implication: Scales with node count and architecture
Upgrade path: Expand as read/write demand increases
Kafka Cluster
Best for: Streaming pipelines, distributed ingestion, and event-driven systems
Resilience: Broker-based scale and fault-tolerant streaming architecture
Cost implication: Based on cluster size and throughput needs
Upgrade path: Scale as traffic and pipeline complexity grow
Need help sizing for high availability, uptime, traffic and growth?
Transparent DBaaS Pricing by Instance Size
Base managed instance pricing. Final cost may vary by engine, storage, high availability, and region.
Small
₹4.73 /Hour
Development & testing
2 vCPU
8 GB RAM
Medium
₹9.45/Hour
Small production apps
4 vCPU
16 GB RAM
Large
₹119.73/Hour
High-traffic production
32 vCPU
256 GB RAM
Enterprise
Contact us
Custom workloads and advanced availability requirements
Custom
Custom
High Availability (HA)
HA clusters use primary + replica architecture and cost 2x the standalone instance price.
Storage Pricing
Auto-scaling NVMe storage billed separately at $0.10/GB/month.
Regional Pricing
Multi-region deployment supported.
Custom Configurations
Enterprise plans offer custom compute ratios and volume discounts.
Built for Low-Downtime Migration and Production Operations
Reduce migration risk and protect business-critical data with a structured approach to onboarding, cutover, and ongoing security.
Migration assessment
Review your current setup, workload needs, and operational risks before planning the move.
Low-downtime planning
Minimize service disruption with staged migration planning, synchronization, and controlled cutover.
Backup before cutover
Create a recovery point before migration so rollback remains possible if needed.
Post-migration validation
Verify performance, connectivity, and configuration after migration to ensure production readiness.
Secure access controls
Protect access with network controls, role-based permissions, and isolation for sensitive workloads.
Encryption and monitoring
Use encryption and continuous monitoring to strengthen visibility, security, and operational confidence.
Moving from another provider or on-prem?
We Have Changed the Game in Cloud Industry Hear It From Industry Leaders
Marktine Technology Solutions
“We work on tight client deadlines, so slow environment setup used to hold us back. After switching to AceCloud’s H200 GPUs, we went from waiting hours to getting new environments ready in minutes. It’s made our project delivery much smoother.”
Provisioning time reduced 8×
“We’ve been on AceCloud for 3–4 months and the service has been consistently dependable. Performance stayed stable across our day-to-day workloads and whenever we needed help, the support team responded quickly and with clear next steps.”
Stable for 90+ days
“AceCloud made infrastructure management much simpler for us. Scaling and resizing instances now takes minutes, not long maintenance windows. Support is responsive and we usually resolve things with minimal back-and-forth.”
Scaling in Minutes
Frequently Asked Questions
AceCloud offers managed PostgreSQL, MySQL, MariaDB, Redis, Kafka, RabbitMQ, and FerretDB for production-ready deployments.
The managed database as a service includes core operational support such as backups, monitoring, patching assistance, and access to deployment models suited for production workloads.
Yes. AceCloud supports deployment models designed for higher availability and automatic failover including primary-replica architectures and clustered setups where applicable.
Yes. Automated backups and point-in-time recovery options are available to help protect business-critical data and support operational continuity across all managed database engines.
Pricing can vary based on engine type, storage requirements, high availability architecture, and deployment region.
Yes. AceCloud supports migration planning for workloads moving from other providers, self-managed setups, or on-premises environments.
Developers and operations teams can manage environments through platform tools, database controls, and monitoring workflows designed for production operations.
The best option depends on workload type. PostgreSQL and MySQL are ideal for relational applications, Redis for caching and low-latency access, Kafka for streaming, and RabbitMQ for queue-based messaging.
A fully managed database service handles infrastructure, patching, backups, monitoring, and failover on your behalf so your team focuses on application development rather than database operations. AceCloud’s DBaaS is available for PostgreSQL, MySQL, MariaDB, Redis, Kafka, RabbitMQ, and FerretDB.
Yes. AceCloud offers managed RabbitMQ for queue-based messaging and background job workloads, and managed Kafka for event streaming and real-time data pipelines both with automated backups, monitoring, and high availability options.
