Suggestions appear as you type. Use the up and down arrows to choose one and Enter to open it.

This page's audience our own tag's counts — open to see them
–Visits
–Page views
–Clicks to vendors
–Time on page
–Reading now
Clicks to vendors, by tool
  • –
Top countries
  • –
Devices
  • –

– · visits, page views and clicks counted by our own tag, which counts more than our checked analytics; every figure rounded down · how we count

Head-to-head · Analytical Data Store Software

Amazon Redshift vs Teradata VantageCloud

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side
Higher score Amazon Redshift #2 in Analytical Data Store Software 9.2/10 Paid ✓ 0 of 2 features Try Amazon Redshift
Teradata VantageCloud #4 in Analytical Data Store Software 9.0/10 Free plan · pricing on request Free plan✓ 0 of 2 features Visit Teradata

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

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

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
  • 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.
  • 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
Cons
  • 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.
  • Pricing is contact-sales, with example pricing limited to AWS US East
  • AWS pricing examples exclude cloud-provider charges
  • Published support channels list documentation
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 →
  1. Amazon RedshiftAnalytical Data Store Software 9.2Paid
  2. Teradata VantageCloudAnalytical Data Store Software 9.0Free plan · pricing on request

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 →

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update