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Head-to-head · Data Lakehouse Platforms

Starburst Data Platform vs Apache Hudi

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score Starburst Data Platform #3 in Data Lakehouse Platforms 8.9/10 Free plan · 30-day trial Free planFree trial✓ 4 of 4 features Visit Starburst
Apache Hudi #5 in Data Lakehouse Platforms 8.6/10 Open source ✓ 4 of 4 features Visit Apache Hudi

Starburst Data Platform leads on 0 checks, Apache Hudi on 0, and 5 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreStarburst Data Platform · 8.9/10
  • Free planonly Starburst Data Platform
  • Free trialonly Starburst Data Platform

Starburst Data Platform scores higher on our rubric for data lakehouse platforms: 8.9 against 8.6 out of 10; our editors rank them #3 and #5.

On storage model, Starburst Data Platform gives you Both where Apache Hudi offers External.

Starburst Data Platform is the better fit for trino-based lakehouse and federated analytics. Apache Hudi is the better fit for open-source streaming and CDC lakehouses.

  • Starburst Data Platform fits best

    Trino-based lakehouse and federated analytics

  • Apache Hudi fits best

    Open-source streaming and CDC lakehouses

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Side by side

Feature Starburst Data Platform 8.9/10 Visit ↗ Apache Hudi 8.6/10 Visit ↗
At a glance
Editor score 8.9 8.6
Ranking #3 in Data Lakehouse Platforms #5 in Data Lakehouse Platforms
Best for Trino-based lakehouse and federated analytics Open-source streaming and CDC lakehouses
Pricing model Free plan + paid Free
Starting price $0.50/unit usage-based Open source
Free plan ✓ (best) Not checked yet
Free trial 30 days —
Deployment Cloud, Self-hosted Self-hosted
Support Live chat, Community, Docs, Tickets · 24/7 Community, Docs
Integrations 50+ integrations 20 integrations
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Starburst Data Platform 4/4 · Apache Hudi 4/4
SQL analytics ✓ ✓
ACID transactions ✓ ✓
Streaming ingestion ✓ ✓
Governance catalog ✓ ✓
Specs
Storage model Both External
Table format support Both Both
Our review
Pros
  • Federated querying across 50+ data sources
  • Trino SQL with Apache Iceberg lakehouse tables
  • Governance controls, compaction, and metadata discovery
  • ACID tables with upserts, deletes, CDC, and time travel
  • Supports Spark SQL, Flink SQL, streaming, and batch pipelines
  • Integrates with Kafka, databases, cloud storage, and catalogs
Cons
  • Usage-based pricing varies by tier, provider, and region
  • Free is limited to 3 clusters and standard execution
  • Advanced governance and support require higher tiers
  • Requires self-hosted deployment and operational ownership
  • External storage architecture adds infrastructure decisions
  • Copy-on-Write and Merge-on-Read require table design choices
Our verdict

Starburst Data Platform brings SQL analytics, federation, ingestion, governance, and data sharing into one lakehouse platform. It is designed for teams working across cloud, on-premises, and hybrid environments, with Starburst Galaxy as a…

Read the review →

Apache Hudi is an open-source, self-hosted data lakehouse platform for teams building streaming, CDC, incremental, and batch data pipelines. It adds transactional tables with ACID guarantees, updates, deletes, change capture, indexing, and…

Read the review →
  1. Starburst Data PlatformData Lakehouse Platforms 8.9Free plan · 30-day trial
  2. Apache HudiData Lakehouse Platforms 8.6Open source

Strengths and trade-offs

  • Starburst Data Platform — where it wins

    • Federated querying across 50+ data sources
    • Trino SQL with Apache Iceberg lakehouse tables
    • Governance controls, compaction, and metadata discovery

    Where it doesn't

    • Usage-based pricing varies by tier, provider, and region
    • Free is limited to 3 clusters and standard execution
    • Advanced governance and support require higher tiers

  • Apache Hudi — where it wins

    • ACID tables with upserts, deletes, CDC, and time travel
    • Supports Spark SQL, Flink SQL, streaming, and batch pipelines
    • Integrates with Kafka, databases, cloud storage, and catalogs

    Where it doesn't

    • Requires self-hosted deployment and operational ownership
    • External storage architecture adds infrastructure decisions
    • Copy-on-Write and Merge-on-Read require table design choices

More comparisons

All data lakehouse platforms comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update