Head-to-head · Analytics Data
Azure Synapse Analytics vs Teradata VantageCloud
Azure Synapse Analytics 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 scoreAzure Synapse Analytics · 9.1/10
- Free planonly Teradata VantageCloud
Azure Synapse Analytics scores higher on our rubric for analytics data: 9.1 against 9.0 out of 10; our editors rank them #4 and #5.
Teradata VantageCloud offers free plan; Azure Synapse Analytics doesn't.
Azure Synapse Analytics is the better fit for azure teams combining SQL, Spark, and pipelines. Teradata VantageCloud is the better fit for enterprises combining warehouse, lakehouse, and ML workloads.
- Azure Synapse Analytics fits best
Azure teams combining SQL, Spark, and pipelines
- Teradata VantageCloud fits best
Enterprises combining warehouse, lakehouse, and ML workloads
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Side by side
| Feature | Azure Synapse Analytics 9.1/10 Visit ↗ | Teradata VantageCloud 9.0/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.1 | 9.0 |
| Ranking | #4 in Analytics Data | #5 in Analytics Data |
| Best for | Azure teams combining SQL, Spark, and pipelines | Enterprises combining warehouse, lakehouse, and ML workloads |
| Pricing model | Paid | Free plan + paid |
| Starting price | — | $6 usage-based |
| Free plan | — | ✓ (best) |
| Free trial | — | — |
| Deployment | Cloud | Cloud |
| Platforms | Web | Web |
| Support | Docs, Community | Docs |
| Integrations | 90+ integrations | 7 integrations |
| Built for | Mid-market, Enterprise | Enterprise, Mid-market |
| Features Azure Synapse Analytics 0/1 · Teradata VantageCloud 0/1 | ||
| Data sharing | Not checked yet | Not checked yet |
| Specs | ||
| Deployment | Not checked yet | Not checked yet |
| Storage architecture | Not checked yet | Not checked yet |
| Query languages | Not checked yet | Not checked yet |
| Included storage | Not checked yet | Not checked yet |
| Cloud options | Not checked yet | Not checked yet |
| Our review | ||
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| Our verdict | 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 → |
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 → |
Strengths and trade-offs
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 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 Analytics9.1/10 · Pricing on request
A broad Azure analytics service for teams bringing SQL, Spark, and pipelines together.
Visit MicrosoftFull verdict → - Teradata VantageCloud9.0/10 · Free plan · pricing on request
A cloud analytics platform pairing Teradata Database with elastic compute and in-database ML.
Visit TeradataFull verdict →
More comparisons
All analytics data comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update