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Databricks vs Hopsworks: Pricing and Ratings Compared (2026)

Entry prices and free plans as read on each vendor's pricing page, and user ratings as published on review sites, for Databricks and Hopsworks side by side. This page compares data; it is not a hands-on review.

On the data: On the data below, Hopsworks leads on a free plan. We do not name an overall winner for this pair.

Data comparison compiled by Toolradar, not hand-reviewed Methodology
Data comparison 1,390 user reviews compared Pricing checked Oct 4, 2026

Short on time? Here's the quick answer

Based on published vendor pricing and features and on public review data, here's who should pick what:

Databricks

Unified analytics for data engineering, science, and ML

Best for you if:

  • • You want unified platform

Hopsworks

The unified AI Lakehouse platform for real-time ML feature engineering, deployment, and production.

Best for you if:

  • • You want a free tier before you commit
At a glance: Databricks vs Hopsworks
At a Glance
Databricks Databricks
Hopsworks Hopsworks
Starts at
Not published
Free plan
Category
Big Data Analytics Data & Databases
Data & Databases AI & Automation
Rating
4.6/5 G2 4.6 · Capterra 4.5 1,385 reviews 4.5/5 Capterra 4.7 · G2 4.3 5 reviews
Free plan
No Yes
Watch out for
Separate cloud infrastructure bill on top of DBUs, varying with instance types and usage SaaS tier costs depend entirely on usage, can be unpredictable.

Choose Databricks or Hopsworks?

Databricks

Choose Databricks if

  • You want unified platform
  • You want great collaboration
  • You work in big data analytics, not data & databases
Hopsworks

Choose Hopsworks if

  • You want a free tier before you commit
  • You want achieves sub-millisecond latency for real-time feature retrieval and inference
  • You want reduces costs and development time by enabling extensive feature reuse across models
  • You work in data & databases, not big data analytics

In-Depth Analysis

Databricks Databricks

Unified analytics for data engineering, science, and ML

Fair value

Databricks' pricing, particularly for All-Purpose Compute at $0.20-0.40/DBU and SQL Compute at $0.22-0.65/DBU, can quickly become expensive, and the separate cloud infrastructure bill for VMs, storage, and networking comes on top of DBU charges.

Watch out

Separate cloud infrastructure bill on top of DBUs, varying with instance types and usage

Strengths

  • Pro: Unified platform
  • Pro: Great collaboration
  • Pro: Delta Lake

Weaknesses

  • Con: Expensive at scale
  • Con: Complex dual billing (DBU plus cloud infra)
  • Con: Steep learning curve

Key features

Unified analytics Delta Lake Photon engine Serverless compute Machine learning Mosaic AI

Hopsworks Hopsworks

The unified AI Lakehouse platform for real-time ML feature engineering, deployment, and production.

Good value

Hopsworks offers a fair pricing structure, with a generous free tier for individual exploration and a flexible pay-as-you-go SaaS option.

Watch out

SaaS tier costs depend entirely on usage, can be unpredictable.

Strengths

  • Pro: Achieves sub-millisecond latency for real-time feature retrieval and inference.
  • Pro: Reduces costs and development time by enabling extensive feature reuse across models.
  • Pro: Ensures data consistency between training and production environments, mitigating training-serving skew.
  • Pro: Offers flexible deployment models including SaaS, on-premises, and air-gapped for data sovereignty.
  • Pro: Integrates directly with open data formats like Iceberg, Delta, and Hudi without requiring data migrations.

Weaknesses

  • Con: Requires Kubernetes knowledge for on-premises deployments using the K8s Installer.
  • Con: The full benefits of the platform are realized with a comprehensive understanding of ML engineering practices.

Key features

Feature Store with sub-millisecond retrieval latency (powered by RonDB) AI Lakehouse supporting Iceberg, Delta, and Hudi tables Python-native query engine for faster data reads MLOps Platform for experiment tracking, model registry, and deployment pipelines GPU and compute management for LLMs and ML models (with Ray, KServe/vLLM support) Dual Storage System (Online RonDB for serving, Offline Hudi on HopsFS for training)

Plans and prices: Databricks vs Hopsworks

Plans and prices of Databricks and Hopsworks, as read on each vendor's pricing page. Each plan keeps its own billing unit.
Tool Plans and prices Source
Databricks
  • Community Edition: Usage-based, one-time or minimum-commitment pricing
  • Jobs Compute: Custom pricing
  • All-Purpose: Custom pricing
  • SQL Compute: Custom pricing
databricks.com/pricing read Oct 4, 2026
Hopsworks
  • Free: Free
  • SaaS: Usage-based, one-time or minimum-commitment pricing
  • Enterprise: Custom pricing
hopsworks.ai/pricing read Sep 29, 2026

Prices as read on each vendor's own pricing page on the date shown. Plans are listed per tool and are not matched against the other tool's plans: a plan name or price in one column says nothing about the same row in the other. Details on Databricks pricing and Hopsworks pricing.

Key Takeaways

Databricks

  • Choose if you want unified analytics for data engineering, science, and ML

Hopsworks

  • Has a free plan

What the data shows

On the data below, Hopsworks leads on a free plan. We do not name an overall winner for this pair.

  • User ratings rest on too few reviews to rank (4.6/5 from 1,385 reviews for Databricks, 4.5/5 from 5 reviews for Hopsworks; we compare ratings only above 20 reviews on both sides).
  • Only Hopsworks has a free plan.

Criteria: user rating (only above 20 reviews on both sides, gap of 0.2 or more), entry price (only on the same billing basis), free plan. How we rate

Frequently Asked Questions

How do Databricks and Hopsworks compare in 2026?

On the data below, Hopsworks leads on a free plan. We do not name an overall winner for this pair. User ratings rest on too few reviews to rank (4.6/5 from 1,385 reviews for Databricks, 4.5/5 from 5 reviews for Hopsworks; we compare ratings only above 20 reviews on both sides). Only Hopsworks has a free plan.

What are Databricks and Hopsworks used for?

Databricks: Unified analytics for data engineering, science, and ML. Hopsworks: The unified AI Lakehouse platform for real-time ML feature engineering, deployment, and production.

What does Databricks cost vs Hopsworks?

Databricks has no public paid-plan price on file. Hopsworks has no public paid-plan price on file. Prices read on the vendors' pricing pages, latest check Oct 4, 2026.

What's the main difference between Databricks and Hopsworks?

Databricks's main strength: unified platform. Hopsworks's main strength: achieves sub-millisecond latency for real-time feature retrieval and inference.

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