Databases · head to head
Amazon RDS vs Teradata

Amazon RDS
Databases
Set up, operate, and scale a relational database in the cloud
- From
- Free
- Rated
- -

Teradata
Databases
Long-established enterprise MPP data warehouse, rebranded in 2026 as the Autonomous Knowledge Platform, sold for cloud, on-premises and hybrid.
- From
- On request
- Rated
- -
The short version
- Only Amazon RDS 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; Teradata licensing is negotiated rather than published, so there is no way to compare total cost against a consumption-priced warehouse without entering a sales cycle, and the comparison is only ever as good as the workload profile you gave them.
- They diverge on capability: Amazon RDS covers Multiple DB Engines, Teradata covers Massively parallel architecture.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Amazon RDS and Teradata actually diverge.
| Attribute | Amazon RDS | Teradata |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | usage-based | quote |
| Free tier | Yes | No |
| Platforms | AWS Cloud, Multi-AZ, Multi-region | Web |
| Founded | 2006 | Unknown |
Identical on both: user rating (Not yet rated), category (Databases).
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 Teradata
- Massively parallel architecture
- Workload management
- Mature cost-based optimiser
- Cloud, on-premises and hybrid
- Bulk load utilities
- BTEQ scripting
- In-database analytics
- Enterprise Vector Store
What people use each for
The jobs each tool is most often brought in to do.
Amazon RDS
- Transaction processingnot Teradata
- Data storagenot Teradata
- Application backendnot Teradata
- Reportingnot Teradata
- Data analyticsnot Teradata
Teradata
- A large existing Teradata estate where the practical question is which workloads to migrate first rather than whether to adoptnot Amazon RDS
- High-concurrency mixed workloads where hundreds of analysts and scheduled jobs contend and predictable prioritisation matters more than peak single-query speednot Amazon RDS
- Regulated reporting where the same query must produce the same answer for years and the audit trail of the existing implementation has valuenot Amazon RDS
- Hybrid deployments where regulatory or data-residency rules keep a portion of the warehouse on-premises while the rest moves to cloudnot Amazon RDS
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
Teradata
- Licensing is negotiated rather than published, so there is no way to compare total cost against a consumption-priced warehouse without entering a sales cycle, and the comparison is only ever as good as the workload profile you gave them.
- The SQL dialect and the loading utilities are Teradata-specific, so every stored procedure, macro and BTEQ script written against the platform is migration debt that grows with each release you ship.
- Primary index choice determines data distribution, and a poorly chosen index concentrates rows on a few processing units, which surfaces as one slow query rather than an error and needs a specialist to diagnose.
- The skills market is contracting, so DBA and workload-management expertise is expensive to hire, hard to replace when someone retires, and increasingly hard to buy from consultancies whose own bench has moved to cloud warehouses.
- The 2026 renaming of Vantage, VantageCloud, ClearScape and QueryGrid split documentation, runbooks and vendor material across two naming systems, so searching for an error or a configuration now returns results for a product that is described under a different name.
Pricing, plan by plan
Amazon RDS
Free- On-Demand Instances$undefined/per second
- Reserved Instances$undefined/mo
- Database Savings Plans$undefined/mo
Teradata
On requestNo published plan breakdown. See the Teradata review.
Which should you pick?
Choose Amazon RDS if
- You need multiple db engines.
- You want to start without paying.
- You work on AWS Cloud, Multi-AZ, Multi-region.
- You also want automated backups.
Choose Teradata if
- You need massively parallel architecture.
- You also want workload management.
Questions people ask
- Is Amazon RDS or Teradata better?
- Neither clearly leads. Amazon RDS starts at Free and Teradata at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Amazon RDS or Teradata?
- Amazon RDS has a free tier; the other does not. Paid plans start at Free for Amazon RDS and On request for Teradata.
- Does Amazon RDS or Teradata run on more platforms?
- Amazon RDS runs on AWS Cloud, Multi-AZ, Multi-region. Teradata runs on Web.
- Can I use Amazon RDS for free?
- Yes. Amazon RDS has a free tier, so you can try it without paying. Teradata 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 Teradata is typically brought in for.
- What can Amazon RDS do that Teradata cannot?
- Amazon RDS covers Multiple DB Engines, Automated Backups, Multi-AZ Deployment, Read Replicas. Teradata covers Massively parallel architecture, Workload management, Mature cost-based optimiser, Cloud, on-premises and hybrid.
Answered from the vendors’ own pages
Amazon RDS: What is included in the AWS Free Tier for RDS?
For signups before July 15, 2025: 750 hours per month of single-AZ database instance usage (12 months), 20 GB General Purpose SSD storage monthly, 20 GB automated backup storage monthly, available engines include MySQL, MariaDB, PostgreSQL, SQL Server Express Edition. For signups after July 15, 2025: choice between Free Plan or Paid Plan, $100 in credits plus up to $100 additional credits for activating foundational services, credits valid 12 months. Free Tier unavailable in AWS GovCloud (US) and China (Beijing) regions.
SourceTeradata: Is Teradata only on-premises?
No. It is sold for cloud, on-premises and hybrid deployment, and the cloud offering is now branded Teradata Cloud. A large part of the installed base is still on-premises or hybrid.
Amazon RDS: How is data transfer priced in RDS?
Same Availability Zone (EC2 to RDS) is free. Multi-AZ replication is free. Cross-AZ within same region is 0.01 USD per GB in and out. Cross-region snapshots and backups follow standard data transfer charges.
SourceTeradata: How does it compare to Snowflake or BigQuery?
On raw elasticity and cost transparency the cloud warehouses win. On mixed-workload concurrency management against a large existing query estate Teradata is still hard to replace, which is why migrations off it take years rather than quarters.
Amazon RDS: What database engines are supported by RDS?
Aurora, MySQL, PostgreSQL, MariaDB, Oracle, SQL Server, and IBM Db2. Pricing varies by engine.
SourceTeradata: Why do organisations stay on it?
Because the cost of leaving is the estate, not the data. Thousands of procedures, scripts and extracts written in a proprietary dialect have to be rewritten and revalidated, and in regulated reporting that revalidation is the expensive part.
Amazon RDS: What cost components are included in RDS monthly pricing?
DB instance hours (billed in 1-second increments, 10-minute minimum), storage per GB per month, I/O requests (Aurora and magnetic storage only), provisioned IOPS per month, backup storage, and data transfer fees.
SourceTeradata: What changed in the 2026 rebrand?
Vantage became the Autonomous Knowledge Platform, VantageCloud became Teradata Cloud, ClearScape Analytics became AI Studio and QueryGrid became Fabric. The underlying products are continuous with what came before.
Teradata: Can it handle AI and vector workloads?
It has added an Enterprise Vector Store and in-database analytics branded AI Studio. Whether that is preferable to moving the data into a purpose-built vector store depends on how much of your data already lives in the warehouse.
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