Head-to-head · Analytical Data Store Software
Amazon Redshift vs Teradata VantageCloud
Amazon Redshift leads on 0 checks, Teradata VantageCloud on 1, and 0 are even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreAmazon Redshift · 9.2/10
- Free planonly Teradata VantageCloud
Amazon Redshift scores higher on our rubric for analytical data store software: 9.2 against 9.0 out of 10; our editors rank them #2 and #4.
Teradata VantageCloud offers free plan; Amazon Redshift doesn't.
Amazon Redshift is the better fit for AWS-native enterprise warehousing. Teradata VantageCloud is the better fit for enterprise lakehouse analytics and ML.
- Amazon Redshift fits best
AWS-native enterprise warehousing
- Teradata VantageCloud fits best
Enterprise lakehouse analytics and ML
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Side by side
| Feature | Amazon Redshift 9.2/10 Visit ↗ | Teradata VantageCloud 9.0/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.2 | 9.0 |
| Ranking | #2 in Analytical Data Store Software | #4 in Analytical Data Store Software |
| Best for | AWS-native enterprise warehousing | Enterprise lakehouse analytics and ML |
| Pricing model | Paid | Free plan + paid |
| Starting price | $0.54/unit usage-based | $6 usage-based |
| Free plan | — | ✓ (best) |
| Free trial | — | — |
| Deployment | Cloud | Cloud |
| Platforms | Web | Web |
| Support | Email, Live chat, Phone, Tickets, Docs | Docs |
| Integrations | 15 integrations | 7 integrations |
| Built for | Small business, Mid-market, Enterprise | Enterprise, Mid-market |
| Features Amazon Redshift 0/2 · Teradata VantageCloud 0/2 | ||
| SQL support | Not checked yet | Not checked yet |
| Cross-account data sharing | Not checked yet | Not checked yet |
| Specs | ||
| Deployment model | Cloud | Cloud |
| Storage architecture | Not checked yet | Not checked yet |
| Compute scaling | Not checked yet | Not checked yet |
| Free storage limit | Not checked yet | Not checked yet |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | For teams that need SQL analytics across large datasets, Amazon Redshift offers a fully managed cloud data warehouse with provisioned and serverless deployment options. AWS positions it for data teams, analysts, developers, and… Read the review → |
Teradata VantageCloud combines a relational database engine, elastic compute, cloud storage, analytics, and machine learning for organizations running data warehouse, lakehouse, and AI workloads. Its Lake offering supports Apache Iceberg… Read the review → |
Strengths and trade-offs
Amazon Redshift — where it wins
- Choose provisioned clusters or serverless compute with automatic scaling.
- Query Amazon S3 data and ingest streams from Kinesis Data Streams and Amazon MSK.
- Use SQL for Redshift ML workflows and programmatic access through the Data API.
Where it doesn't
- Provisioned managed storage is billed separately for RG and RA3 nodes.
- Serverless starts at $1.50 per hour, above the provisioned starting rate.
- Its broad AWS service connections may be less suitable outside AWS-centered environments.
Teradata VantageCloud — where it wins
- Supports Apache Iceberg and Delta Lake in cloud object storage
- Combines elastic compute with object, block, and backup storage
- Includes in-database ML, Bring Your Own Model scoring, and ModelOps
Where it doesn't
- Pricing is contact-sales, with example pricing limited to AWS US East
- AWS pricing examples exclude cloud-provider charges
- Published support channels list documentation
- Amazon Redshift9.2/10 · Paid
Redshift combines provisioned and serverless warehousing with AWS data-lake and streaming access.
Try Amazon RedshiftFull verdict → - Teradata VantageCloud9.0/10 · Free plan · pricing on request
A cloud lakehouse and analytics platform built for enterprise data and ML workloads.
Visit TeradataFull verdict →
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- Teradata VantageCloud vs Apache Doris
- Teradata VantageCloud vs Microsoft Azure Data Explorer
All analytical data store software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update





