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Head-to-head · Data Lakehouse Platforms

Databricks Data Intelligence Platform vs Dremio

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score Databricks Data Intelligence Platform #1 in Data Lakehouse Platforms 9.4/10 Free plan · 14-day trial Free planFree trial✓ 4 of 4 features Visit Databricks
Dremio #2 in Data Lakehouse Platforms 9.1/10 Free plan · 30-day trial Free planFree trial✓ 4 of 4 features Visit Dremio

Databricks Data Intelligence Platform leads on 0 checks, Dremio 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 scoreDatabricks Data Intelligence Platform · 9.4/10
  • Free planboth
  • Free trialboth

Databricks Data Intelligence Platform scores higher on our rubric for data lakehouse platforms: 9.4 against 9.1 out of 10; our editors rank them #1 and #2.

On table format support, Databricks Data Intelligence Platform gives you Both where Dremio offers Open.

Databricks Data Intelligence Platform is the better fit for broad enterprise lakehouse and AI workloads. Dremio is the better fit for federated SQL across diverse data estates.

  • Databricks Data Intelligence Platform fits best

    Broad enterprise lakehouse and AI workloads

  • Dremio fits best

    Federated SQL across diverse data estates

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Databricks Data Intelligence Platform 9.4/10 Visit ↗ Dremio 9.1/10 Visit ↗
At a glance
Editor score 9.4 9.1
Ranking #1 in Data Lakehouse Platforms #2 in Data Lakehouse Platforms
Best for Broad enterprise lakehouse and AI workloads Federated SQL across diverse data estates
Pricing model Free plan + paid Free plan + paid
Starting price Free plan · 14-day trial —
Free plan ✓ ✓
Free trial 14 days 30 days
Free trial length 14 days · no card needed 30 days · no card needed
Deployment Cloud Cloud, Self-hosted
Platforms Web Web
Support Docs, Community Email, Tickets, Community, Docs · 24/7
Compliance GDPR, HIPAA, PCI DSS, SSO/SAML, 2FA SOC 2, ISO 27001, GDPR
Integrations 8 integrations 15 integrations
Built for Mid-market, Enterprise Mid-market, Enterprise
Features Databricks Data Intelligence Platform 4/4 · Dremio 4/4
SQL analytics ✓ ✓
ACID transactions ✓ ✓
Streaming ingestion ✓ ✓
Governance catalog ✓ ✓
Specs
Storage model Both Both
Table format support Both Open
Our review
Pros
  • Combines Delta Lake storage, SQL, batch, streaming, and ETL
  • Unity Catalog supports data and AI governance
  • Connects with Power BI, Tableau, Kafka, dbt Cloud, and Fivetran
  • Federated queries across databases, warehouses, object storage, and NoSQL
  • Native Apache Iceberg support with Polaris-powered Open Catalog
  • Cloud, self-managed, Kubernetes, on-premises, and API deployment options
Cons
  • Usage-based pricing varies by cloud, region, product, and contract
  • Its broad feature set may exceed the needs of narrow workloads
  • Paid costs are not represented by a single fixed monthly plan
  • Enterprise pricing requires contacting sales
  • Cloud usage is consumption-based and measured in DCUs
  • Customer cloud infrastructure costs may still apply on the free tier
Our verdict

Databricks Data Intelligence Platform brings data engineering, SQL analytics, machine learning, AI applications, and governance into a cloud platform. It is designed for organizations that need to ingest and transform data, query lakehouse…

Read the review →

Dremio is an open data lakehouse platform for organizations that need governed analytics across object storage, databases, and lakehouse catalogs. Its distributed SQL engine supports federated queries across databases, warehouses, object…

Read the review →
  1. Databricks Data Intelligence PlatformData Lakehouse Platforms 9.4Free plan · 14-day trial
  2. DremioData Lakehouse Platforms 9.1Free plan · 30-day trial

Strengths and trade-offs

  • Databricks Data Intelligence Platform — where it wins

    • Combines Delta Lake storage, SQL, batch, streaming, and ETL
    • Unity Catalog supports data and AI governance
    • Connects with Power BI, Tableau, Kafka, dbt Cloud, and Fivetran

    Where it doesn't

    • Usage-based pricing varies by cloud, region, product, and contract
    • Its broad feature set may exceed the needs of narrow workloads
    • Paid costs are not represented by a single fixed monthly plan
  • Dremio — where it wins

    • Federated queries across databases, warehouses, object storage, and NoSQL
    • Native Apache Iceberg support with Polaris-powered Open Catalog
    • Cloud, self-managed, Kubernetes, on-premises, and API deployment options

    Where it doesn't

    • Enterprise pricing requires contacting sales
    • Cloud usage is consumption-based and measured in DCUs
    • Customer cloud infrastructure costs may still apply on the free tier
  • Databricks Data Intelligence Platform9.4/10 · Free plan · 14-day trial

    A broad lakehouse platform for engineering, analytics, streaming, machine learning, and AI.

    Visit DatabricksFull verdict →
  • Dremio9.1/10 · Free plan · 30-day trial

    A flexible lakehouse for querying diverse data estates across cloud and self-hosted environments.

    Visit DremioFull verdict →

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update