Comparison

Delta Lake vs Teradata

No clear leader: Delta Lake (64.7) and Teradata (61.2) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
Delta Lake65
Teradata61
Score
Vioscale score
Delta Lake65 / 100medium · 58%
Teradata61 / 100low · 14%
Pricing
Free tier
Delta Lake
Teradata
Model
Delta Lakeopen_source
Teradatacommercial
Price level
Delta Lakefree
Teradatalow
Transparent
Delta Lake
Teradata
Integrations
Count
Delta Lake29
Teradata
Security
Disclosure policy
Delta Lake
Teradata
Scorecard
Delta Lake6.2
Teradata
Adoption
Dependent repos
Delta Lake152
Teradata
Github stars
Delta Lake8,960
Teradata
Package downloads weekly
Delta Lake8,577,014
Teradata
Activity
Commits last 30d
Delta Lake100
Teradata
Release
Cadence days
Delta Lake50
Teradata
History
Delta Lake20 items
Teradata
License
Spdx
Delta LakeApache-2.0
Teradata
Language
Primary
Delta LakeScala
Teradata
Market
Availability

Capabilities

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

Deployment
Deployment
Delta LakeSelf-hosted
TeradataHybrid
Architecture
Architecture
Delta LakeSeparated storage/compute
Teradata-
Compute model
Delta Lake-
Teradata-
Query
SQL dialect
Delta Lake-
Teradata-
Federation / lakehouse query-in-place
Delta Lake
Teradata-
Interoperability
Table-format support
Delta LakeDelta, Iceberg, Hudi
Teradata-
Scale
Concurrency scaling
Delta Lake-
TeradataAutomatic
Ingestion
Streaming ingest
Delta Lake
Teradata-
Data model
Semi-structured (JSON/VARIANT)
Delta Lake-
TeradataFirst-class
Analytics
ML / in-DB functions
Delta Lake-
Teradata
Sharing
Data sharing / marketplace
Delta Lake
Teradata-
Licensing
Licence class
Delta LakePermissive OSS
Teradata-

What each one is

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

Delta Lake

An open-source storage framework enabling lakehouse architecture with support for multiple compute engines including Spark, Flink, Trino, Snowflake, BigQuery, and others.

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.

Delta Lake

Open source
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
Delta Lake
Teradata
Deployment
Cloud / SaaS
Delta Lake
Teradata
Self-hosted
Delta Lake
Teradata
On-premise
Delta Lake
Teradata
Hybrid
Delta Lake
Teradata

Integrations

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

Delta Lake

29 total
  • Apache Spark
  • Apache Flink
  • Apache Hive
  • Apache Pulsar
  • Apache Druid
  • ClickHouse
  • Trino
  • PrestoDB
  • StarRocks
  • RisingWave
  • Dagster
  • Hopsworks
  • MLflow
  • Kafka
  • AWS Athena
  • AWS EMR
  • AWS Glue
  • Azure Stream Analytics
  • Google BigQuery
  • Snowflake
  • Databricks
  • AWS Redshift
  • Microsoft Fabric
  • Power BI
  • +5 more
Independently observed

Teradata

Not documented yet.

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