Database & Data Management · head to head
Amazon RDS vs BigQuery

Amazon RDS
Database & Data Management
Set up, operate, and scale a relational database in the cloud
- From
- On request
- Rated
- -

BigQuery
Database & Data Management
Serverless, highly scalable enterprise data warehouse
- From
- Free
- Rated
- -
The short version
- Only BigQuery has a free tier, so it costs nothing to try first.
- Each has a real cost: Amazon RDS no super-user access or direct host connectivity limits advanced customization; BigQuery query costs can become substantial for organizations with high query volumes
- They diverge on capability: Amazon RDS covers Multiple DB Engines, BigQuery covers Serverless Architecture.
Where they differ
Only the attributes on which Amazon RDS and BigQuery actually diverge.
| Attribute | Amazon RDS | BigQuery |
|---|---|---|
| Starting price | On request | Free |
| Pricing model | Unknown | usage-based |
| Free tier | No | Yes |
| Platforms | AWS Cloud, Multi-AZ, Multi-region | Web, Cloud API |
| Founded | 2006 | 2008 |
Identical on both: user rating (Not yet rated), category (Database & Data Management).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Amazon RDS
- Multiple DB Engines
- Automated Backups
- Multi-AZ Deployment
- Read Replicas
- Encryption
- Performance Insights
- Automatic Scaling
- MySQL
Only in BigQuery
- Serverless Architecture
- Petabyte Scale
- Real-time Analytics
- Machine Learning
- Geospatial Analysis
- Streaming Ingestion
- Standard SQL
- Looker
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Amazon RDS
- Transaction processingnot BigQuery
- Data storagenot BigQuery
- Application backendnot BigQuery
- Reporting
- Data analyticsnot BigQuery
BigQuery
- Business intelligencenot Amazon RDS
- Data warehousingnot Amazon RDS
- Real-time analyticsnot Amazon RDS
- Reporting
- Machine learningnot Amazon RDS
Both are used for reporting, on those jobs the choice comes down to price and fit rather than capability.
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Amazon RDS
- No super-user access or direct host connectivity limits advanced customization
- Pricing unpredictable and expensive compared to GCP alternatives with equivalent features
- Limited access to system procedures and tables requiring advanced permissions
- No Oracle RAC (Real Application Clusters) support for high-availability Oracle deployments
BigQuery
- Query costs can become substantial for organizations with high query volumes
- Data egress from Google Cloud incurs additional charges
Pricing, plan by plan
Amazon RDS
On requestNo published plan breakdown. See the Amazon RDS review.
BigQuery
Free- Free TierFree
- 1TB queries/month
- 10GB storage/month
- Standard support
- On-demand$6.25/TB
- Pay per query
- Pay per storage
- All features
Which should you pick?
Choose Amazon RDS if
- You need multiple db engines.
- You work on AWS Cloud, Multi-AZ, Multi-region.
- You also want automated backups.
Choose BigQuery if
- You need serverless architecture.
- You want to start without paying.
- You work on Web, Cloud API.
- You also want petabyte scale.
Questions people ask
- Is Amazon RDS or BigQuery better?
- Neither clearly leads. Amazon RDS starts at On request and BigQuery at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Amazon RDS or BigQuery?
- BigQuery has a free tier; the other does not. Paid plans start at On request for Amazon RDS and Free for BigQuery.
- Does Amazon RDS or BigQuery run on more platforms?
- Amazon RDS runs on AWS Cloud, Multi-AZ, Multi-region. BigQuery runs on Web, Cloud API.
- Can I use BigQuery for free?
- Yes. BigQuery has a free tier, so you can try it without paying. Amazon RDS starts at On request.
- What is Amazon RDS best used for?
- Amazon RDS is most often used for transaction processing, data storage, application backend, reporting. Of those, transaction processing and data storage are not what BigQuery is typically brought in for.
- What can Amazon RDS do that BigQuery cannot?
- Amazon RDS covers Multiple DB Engines, Automated Backups, Multi-AZ Deployment, Read Replicas. BigQuery covers Serverless Architecture, Petabyte Scale, Real-time Analytics, Machine Learning. Both handle Web support.
Answered from the vendors’ own pages
Amazon RDS: What databases does Amazon RDS support?
Amazon RDS supports Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and Microsoft SQL Server as managed database engines.
SourceBigQuery: How is BigQuery priced?
BigQuery charges $5 per terabyte of data processed in on-demand queries. Storage is billed separately: active storage is charged per GB, and data inactive for 90+ days moves to long-term storage at reduced rates.
SourceAmazon RDS: Does Amazon RDS handle backups automatically?
Yes. Amazon RDS automates backup configuration, backing up your database and transaction logs. Blue/Green Deployments allow safer updates by mirroring production in staging before applying changes.
SourceBigQuery: What is BigQuery's architecture?
BigQuery separates compute and storage, using Google's Colossus for distributed storage and Borg for computation, allowing independent scaling of each.
SourceAmazon RDS: How does Amazon RDS Proxy improve performance?
Amazon RDS Proxy is a managed database proxy that makes applications more scalable by reducing database connection overhead, more resilient to database failures, and more secure through built-in authentication.
SourceAmazon RDS: Does Amazon RDS provide read replicas?
Yes. Amazon RDS supports read replicas across availability zones and regions, enabling horizontal scaling of read capacity while maintaining a single write primary.
SourceAmazon RDS: Can I access the host directly via SSH or Remote Desktop?
No. Amazon RDS does not allow direct host access via SSH, Telnet, or Windows Remote Desktop Connection. Database access is limited to database clients and management console.
SourceRelated pages
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