Managed Databases

The data layer forproduction software

PostgreSQL, MySQL, MongoDB, and Redis clusters that provision fast, fail over cleanly, and stay private by default.

Compare Engines
PITR
Recovery Ready
<60s
Failover Target
Private
Network First
Database infrastructure
Managed Cluster Control Plane

Managed clusters, not hosted VMs

Backups, replicas, failover, and private access in one operating layer.

Backups and recovery stay operational by default

Daily snapshots, retention policies, and point-in-time restore are handled at the platform layer.

Failover and replicas are built into the topology

Primary nodes, read replicas, and standby paths are designed as one managed cluster surface.

Networking and encryption are part of the deploy path

Private access, TLS, and encrypted storage are exposed as product defaults instead of add-ons.

Observability ships with the cluster

Health signals, lag, storage, and connection behavior are visible without external setup.

Backup policy
Daily + PITR
Replication
Read replicas
Access model
Private by default
Encrypted at restReplica-awareFailover ready
Application traffic
Private clients and services
App traffic enters through trusted sources, internal networks, and service identities.
Routing layer
Connection pooler
Manages client sessions and smooths spikes before they hit the primary node.
Primary cluster
Write node
Handles transactions, backups, health checks, and coordinated engine operations.
Read scaling
Replica group
Replica capacity is exposed for read-heavy apps, analytics, and regional workloads.
Recovery path
Snapshot and PITR vault
Recovery points remain attached to the cluster lifecycle instead of separate scripts.
Observability
Metrics and alerts
Lag, storage, CPU, and replication health stay visible as first-party signals.
Replica sync healthy
Lag below 50 ms
Snapshot policy active
PITR window protected
Private network attached
Ingress locked to trusted sources
Engine Selection

Pick a database byworkload, not branding

Each engine maps to a different product shape. Start with the data pattern, then choose the database that fits the operating model.

Application coreRelational v16

PostgreSQL

For transactional systems, structured app data, and products that need one durable system of record.

PostgreSQL
Topology
Primary + replicas
Recovery
Point in time
Storage
NVMe-backed
Why this engine

Best when the product model is relational and the application stack needs mature SQL features.

Best fit

SaaS products, APIs, account systems, finance data, and feature-rich application schemas.

Workload signals
ACIDJSONBpgvectorPostGIS
Managed by default
Operational guardrails around the engine
Read replicas
Connection pooling
Private network
Automated backups
What this means

Teams choose the database for the shape of the workload, then inherit the backup, failover, and networking posture they would otherwise have to build themselves.

Database Pricing

Price theengine you actually deploy

Start free, then move into production pricing by engine.

PostgreSQL

PostgreSQL

For app backends and production SQL.

Start
Free
Paid
$18/mo
1 GB free
PITR on paid
Replica ready

Free for dev, scales cleanly into HA clusters.

Deploy PostgreSQL
MySQL

MySQL

For web stacks, commerce, and customer portals.

Start
Free
Paid
$16/mo
1 GB free
Managed failover
Private access

Simple dev entry, managed failover for production.

Deploy MySQL
MongoDB

MongoDB

For flexible product data and content-heavy apps.

Start
Free
Paid
$22/mo
1 GB free
Snapshot recovery
Replica set ready

Start free, move to replica-backed clusters when traffic grows.

Deploy MongoDB
Redis

Redis

For sessions, queues, and low-latency cache paths.

Start
Free
Paid
$12/mo
256 MB free
AOF or snapshot
Sub-ms reads

Fast dev cache, then high-availability memory nodes for live traffic.

Deploy Redis
Included with every database

Every engine keeps the same managed baseline, so buyers compare database fit instead of guessing which operational pieces are missing.

Free tiers for development, paid clusters for production.
TLS endpoints
Automated backups
Metrics and alerts
Private networking
Role-based access
One-click scaling

Frequently Asked Questions

Everything you need to know about our platform and services.

We offer fully managed PostgreSQL, MySQL, MariaDB, Redis, MongoDB, and ClickHouse. Each engine runs on optimized infrastructure with automatic tuning for your workload profile.

All databases include automatic daily snapshots with configurable retention (7–90 days). Pro and Enterprise plans support point-in-time recovery — restore your database to any second within the retention window.

Yes. On Pro and Enterprise plans, you can add up to 15 read replicas per database with automatic load balancing. Replicas can be deployed in different regions for low-latency reads.

Production databases run on multi-node clusters with synchronous replication. Automatic failover promotes a standby node within seconds if the primary becomes unavailable.

Yes. All data is encrypted at rest with AES-256 and in transit with TLS 1.3. You can also bring your own encryption keys (BYOK) on Enterprise plans.

Yes. VPC peering is available on Pro and Enterprise plans, allowing private connectivity without exposing your database to the public internet. We support AWS, GCP, and Azure peering.

Scale storage and compute independently with zero downtime. Storage auto-expands when you hit 90% capacity. CPU and RAM can be upgraded with a brief restart window.

Use Cases

Built For Your Needs

PostgreSQL for SaaS Platforms

Run account systems, APIs, billing data, and tenant-aware product tables on a managed PostgreSQL cluster with replicas, backups, and private networking built in.

MySQL for Transactional Commerce

Support storefront traffic, checkout flows, catalog reads, and customer portals with familiar MySQL operations, managed failover, and production-ready backup paths.

MongoDB for Flexible Product Data

Ship faster when schemas evolve often. Use MongoDB for catalogs, content models, user profiles, and internal tools that need flexibility without database babysitting.

Redis for Cache and Session Layers

Keep hot data close to the app for sessions, queues, counters, rate limits, and response caching with low-latency Redis clusters that stay operational under load.

Ready to Deploy Your Production Database?

Launch a fully managed database in under 60 seconds. No credit card required to start with our free tier.

No credit card requiredFree tier includedSOC 2 compliant99.99% uptime SLA