Amazon Rds
Current- Annual cost
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- Seats assigned
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This catalog view compares public market data and does not include organization spend or usage.

Google Cloud Sql is the strongest catalog alternative to evaluate for Amazon Rds.

This catalog view compares public market data and does not include organization spend or usage.
See how Amazon Rds compares to 8 alternative apps you can switch to.
Google Cl...Best FitSeat-basedAvg. switch cost$1,176/yr
Mongodb A...Strong ContenderSeat-basedAvg. switch cost--Mongodb Atlas is a good fit if: your team requires flexible schemas for rapid iteration and prefers JSON-like document storage over rigid table structures.
Azure Sql...Worth ConsideringSeat-basedAvg. switch cost$4,495/yr
Ibm Db2 O...Worth ConsideringSeat-basedAvg. switch cost--Ibm Db2 On Cloud is a good fit if: your organization requires enterprise SQL database with strict ACID compliance and Oracle compatibility for legacy apps.
Planetsca...Worth ConsideringSeat-basedAvg. switch cost--Planetscale is a good fit if: your engineering team requires scalable MySQL or Postgres with git-like branching for schema changes and zero-downtime deployments.
Digitaloc...Worth ConsideringSeat-basedAvg. switch cost$180/yr
Oracle Au...Worth ConsideringPublic pricingAvg. switch cost--Oracle Autonomous Database is a good fit if: you run Oracle-dependent enterprise applications requiring zero-downtime patching and minimal manual database administration.
Cockroach...Worth ConsideringSeat-basedAvg. switch cost--Cockroachdb Cloud is a good fit if: your application requires zero-RPO failover across regions with PostgreSQL syntax compatibility.Google Cloud Sql and Mongodb Atlas selected for comparison.
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On-Demand DB Instances
Public catalog pricing. Organization spend is not included.
$1,176
Enterprise
Public catalog pricing estimate.
$684
Free (M0)
Public catalog pricing estimate.
$0
No migration in the current app baseline.
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After $15,000 estimated migration cost.
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After $8,000 estimated migration cost.
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88/100
Cloud SQL serves backend developers and data engineers who require managed PostgreSQL, MySQL, or SQL Server without operational overhead. Organizations with dedicated DevOps resources maximize value through automated patching and scaling, while teams lacking database expertise struggle with connection pooling and schema optimization. Marketing, sales, and support teams will not interact with this service directly.
82/100
MongoDB Atlas excels for development teams building modern applications requiring flexible schemas and horizontal scaling. Product and mobile app teams benefit from the document model's agility, while analytics and finance teams may struggle with complex aggregation pipelines versus SQL. Teams with strict ACID requirements across complex relational data models often face architectural friction.
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Public adoption signal for the current app.
low
Google Cloud Sql is a high-complexity migration. Estimated 8 weeks and $15,000 one-time cost.
medium
Mongodb Atlas is a medium-complexity migration. Estimated 8 weeks and $8,000 one-time cost.
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2150 reviews
4.5/5.0
1850 reviews
4.5/5.0
18500 reviews
No migration needed
8 weeks
High
Google Cloud Sql is a high-complexity migration. Estimated 8 weeks and $15,000 one-time cost.
8 weeks
Medium
Mongodb Atlas is a medium-complexity migration. Estimated 8 weeks and $8,000 one-time cost.
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$15,000
Estimated one-time migration and setup effort.
$8,000
Estimated one-time migration and setup effort.
100%
Supports 350 native integrations.
57%
Supports 200 native integrations.
43%
Supports 150 native integrations.
100%
90%
65%
You already standardize on this app.
Your engineering team needs production-grade relational databases without hiring dedicated DBAs for maintenance, patching, and replication
Your team requires flexible schemas for rapid iteration and prefers JSON-like document storage over rigid table structures
Public pricing or fit signals no longer match your needs.
You require multi-region active-active write capabilities, massive horizontal write scaling, or lack technical resources to manage connection pooling
Your application relies on complex table joins, strict ACID compliance across many relational tables, or heavy ad-hoc SQL reporting
