Head-to-head · Analytics Data
Teradata VantageCloud vs Azure Synapse Analytics
Teradata VantageCloud leads on 1 check, Azure Synapse Analytics on 0, 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 scoreTeradata VantageCloud · 7.1/10
- Free planonly Teradata VantageCloud
Teradata VantageCloud scores higher on our rubric for analytics data: 7.1 against 7.0 out of 10; our editors rank them #4 and #5.
Teradata VantageCloud offers free plan; Azure Synapse Analytics doesn't.
Teradata VantageCloud is the better fit for enterprises combining warehouse, lakehouse, and ML workloads. Azure Synapse Analytics is the better fit for azure teams combining SQL, Spark, and pipelines.
- Teradata VantageCloud fits best
Enterprises combining warehouse, lakehouse, and ML workloads
- Azure Synapse Analytics fits best
Azure teams combining SQL, Spark, and pipelines
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Side by side
| Feature | Teradata VantageCloud 7.1/10 Visit ↗ | Azure Synapse Analytics 7.0/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 7.1 | 7.0 |
| Ranking | #4 in Analytics Data | #5 in Analytics Data |
| Best for | Enterprises combining warehouse, lakehouse, and ML workloads | Azure teams combining SQL, Spark, and pipelines |
| Pricing model | Free plan + paid | Paid |
| Starting price | Not published | Not published |
| Free plan | ✓ (best) | — |
| Free trial | — | — |
| Deployment | Cloud | Cloud |
| Platforms | Web | Web |
| Support | Docs | Docs, Community |
| Integrations | 7 integrations | 90+ integrations |
| Built for | Enterprise, Mid-market | Mid-market, Enterprise |
| Features Teradata VantageCloud 0/1 · Azure Synapse Analytics 0/1 | ||
| Data sharing | Not published | Not published |
| Specs | ||
| Deployment | Not published | Not published |
| Storage architecture | Not published | Not published |
| Query languages | Not published | Not published |
| Included storage | Not published | Not published |
| Cloud options | Not published | Not published |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Teradata VantageCloud is a cloud data warehouse and analytics platform for enterprise organizations running mixed warehouse, lakehouse, AI, and analytics workloads. It combines the Teradata relational database engine with elastic,… Read the review → |
Azure Synapse Analytics brings data warehousing, data-lake exploration, big data processing, and integration into Microsoft’s cloud analytics service. It is aimed at mid-market and enterprise teams that want to combine SQL, Spark,… Read the review → |
Strengths and trade-offs
Teradata VantageCloud — where it wins
- Separates elastic compute clusters from object, block, and backup storage
- Supports Apache Iceberg and Delta Lake in cloud object storage
- Includes Python and R analytics plus model scoring and lifecycle tools
Where it doesn't
- Pricing is contact-sales, with only limited AWS example pricing shown
- AWS example pricing excludes cloud-provider charges
- Advanced services and white-glove support sit in the Lake+ tier
Azure Synapse Analytics — where it wins
- Serverless and dedicated SQL pools support different query and warehousing needs.
- Queries Parquet, CSV, TSV, JSON, and Delta Lake data in data lakes.
- Combines pipelines, streaming ingestion, Spark, and machine learning scoring.
Where it doesn't
- Pricing varies by region, agreement, and usage, making costs harder to predict.
- Its integrations and ecosystem are centered on Azure services.
- Cloud-only deployment may not suit teams requiring another deployment model.
- Teradata VantageCloud7.1/10 · Free plan · pricing on request
A cloud analytics platform pairing Teradata Database with elastic compute and in-database ML.
Visit TeradataFull verdict → - Azure Synapse Analytics7.0/10 · Pricing on request
A broad Azure analytics service for teams bringing SQL, Spark, and pipelines together.
Visit MicrosoftFull verdict →
More comparisons
All analytics data comparisons → · Full ranking →
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Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026
Last updated · How we research and update


