vioscale
Comparison

Apache Hudi vs Teradata

No leader: the top candidate Teradata has only 0.14 confidence (low), below the 0.35 needed to declare a winner. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.

Apache Hudi full profile →Teradata full profile →
Machine formatsJSONMarkdownGraphQLor send Accept: application/json
Apache Hudi50
Teradata61
Score
Vioscale score
Apache Hudi50 / 100medium · 57%
Teradata61 / 100low · 14%
Pricing
Free tier
Apache Hudi✓
Teradata✗
Model
Apache Hudiopen_source
Teradatacommercial
Price level
Apache Hudifree
Teradatalow
Transparent
Apache Hudi–
Teradata✓
Integrations
Count
Apache Hudi7
Teradata–
Security
Disclosure policy
Apache Hudi–
Teradata✓
Scorecard
Apache Hudi6.5
Teradata–
Vulnerabilities
Adoption
Dependent repos
Apache Hudi358
Teradata–
Github stars
Apache Hudi6,219
Teradata–
Package downloads weekly
Apache Hudi8,142
Teradata–
Activity
Commits last 30d
Apache Hudi100
Teradata–
Release
Cadence days
Apache Hudi61
Teradata–
History
Apache Hudi20 items
Teradata–
License
Spdx
Apache HudiApache-2.0
Teradata–
Language
Primary
Apache HudiJava
Teradata–
Market
Availability
Apache Hudi–
TeradataAvailable worldwide

Capabilities

Feature-by-feature on the axes that matter for data warehouse software. “-” means undocumented, not absent.

Deployment
Deployment
Apache HudiSelf-hosted
TeradataHybrid
Architecture
Architecture
Apache HudiSeparated storage/compute
Teradata-
Compute model
Apache Hudi-
Teradata-
Query
SQL dialect
Apache Hudi-
Teradata-
Federation / lakehouse query-in-place
Apache Hudi✓
Teradata-
Interoperability
Table-format support
Apache HudiParquet with MOR support
Teradata-
Scale
Concurrency scaling
Apache Hudi-
TeradataAutomatic
Ingestion
Streaming ingest
Apache Hudi-
Teradata-
Data model
Semi-structured (JSON/VARIANT)
Apache HudiFunctional
TeradataFirst-class
Analytics
ML / in-DB functions
Apache Hudi-
Teradata✓
Sharing
Data sharing / marketplace
Apache Hudi-
Teradata-
Licensing
Licence class
Apache HudiPermissive OSS
Teradata-

What each one is

The product in its own terms, so the numbers below have context.

Apache Hudi

Apache Hudi is an open-source project enabling data teams to manage analytics datasets with ACID transactions, temporal data access, and change capture. It provides multi-language APIs and integrates with data processing systems like Spark, Flink, and Presto.

Independently observed

Teradata

Teradata's Autonomous Knowledge Platform connects multi-modal data, operationalizes AI and analytics, and embeds intelligence into workflows for autonomous decision-making at scale. Supports cloud and on-premises deployments.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Apache Hudi

Open sourceFree tier
as of verify ↗

Teradata

from $4.80/moconsumption

Consumption-based pricing: from $4.80/hour compute + storage from $276/TB/year (object storage). On-demand and commitment options. Pricing for U.S. region; data transfer charged separately.

  • StandardFrom $4.80/hour compute (U.S. region only)
    • Teradata Engine
    • Premier Cloud Support
  • VantageCloud LakeFrom $6.00/hour compute (U.S. region only)
    • Teradata Engine
  • VantageCloud Lake+From $7.20/hour compute (U.S. region only)
    • Teradata Engine
    • Priority Service
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Apache Hudi✗
Teradata✓
Linux
Apache Hudi✓
Teradata✗
Deployment
Cloud / SaaS
Apache Hudi✗
Teradata✓
Self-hosted
Apache Hudi✓
Teradata✗
On-premise
Apache Hudi✗
Teradata✓
Hybrid
Apache Hudi✗
Teradata✓

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

Apache Hudi

7 total
  • AWS Glue
  • Apache Spark
  • Apache Flink
  • Trino
  • Presto
  • Apache Hive
  • Apicurio Registry
Independently observed

Teradata

Not documented yet.

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.