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Tools/Hopsworks vs ZenML
Hopsworks

Hopsworks

mlops
vs
ZenML

ZenML

mlops

Hopsworks vs ZenML — Comparison

Overview
What each tool does and who it's for

Hopsworks

Build, deploy, and scale production ML systems with Hopsworks. The Feature Store and MLOps platform for real-time AI, trusted by leading teams.

Founded in 2017, Hopsworks originated from a strong foundation in academia and the open-source community (ex MySQL, Oracle). As a pioneering platform for data and AI, Hopsworks seamlessly integrates the disciplines of data science, data engineering, and machine learning into a cohesive environment. An AI Lakehouse is a modern infrastructure designed to support the unique needs of AI and machine learning workloads. It simplifies the deployment and development of AI models and provides a structured, efficient approach to building and maintaining AI systems, enabling faster model creation and smoother production deployment. Palo Alto 94301, California USA 69 Wilson St EC2A2BB, London United Kingdom Plan 2 116 24, Stockholm Sweden Contact us and learn how Hopsworks can help your organization deploy reliable AI systems.

ZenML

One layer for orchestration, versioning, and governance — from training pipelines to agent evals, local to Kubernetes.

Stop writing fragile scripts to connect your tools. ZenML provides a standardized protocol to bind your data retrieval (LlamaIndex), reasoning (LangChain), and training (PyTorch) steps into a single, cohesive system. Teams lose velocity rewriting notebook code for the cloud. ZenML allows the exact same @step to run locally for debugging, in batch for massive evaluations, and then deploy seamlessly to your production serving infrastructure. Your current orchestrator runs the job, but it doesn't track the data. ZenML adds a metadata layer to tools like Airflow or Kubeflow, giving you the artifact lineage and reproducibility that raw orchestrators lack. Built on Apache 2.0 for flexibility, hardened for the enterprise. Deploy ZenML inside your own VPC. Keep full sovereignty over your data, models, and API secrets while meeting SOC2 and ISO 27001 standards. Join thousands of teams using ZenML to eliminate chaos and accelerate AI delivery 60+ integrations across the AI ecosystem. From sklearn to LangGraph. We have put down our expertise around building production-ready, scalable AI platforms, building on insights from our top customers. Learn how teams are using ZenML to save time and simplify their MLOps. ZenML tracks production AI deployments across the industry Former Chief Scientist Salesforce and Founder of You.com ML Engineer / ML Ops / ML Solution architect at ADEO Services Professor of Linguistics and CS at Stanford Machine Learning Engineer at WiseTech Global Stay updated on the latest developments, announcements, and updates from the ZenML ecosystem. ZenML is a metadata layer on top of your existing infrastructure, meaning all data and compute stays on your side. ZenML is SOC2 and ISO 27001 compliant, validating our adherence to industry-leading standards for data security, availability, and confidentiality in our ongoing commitment to protecting your ML workflows and data. Subscribe to the ZenML newsletter and receive regular product updates, tutorials, examples, and more. Thanks for subscribing! Check your inbox to confirm. We care about your data in our privacy policy. Everything you need to know about the product. Predictable, transparent pricing that scales with value. Apply for a special price to access ZenML Pro features for early-stage companies building ML-powered products, universities, research institutions, and educational use cases. ZenML is a metadata layer on top of your existing infrastructure, meaning all data and compute stays on your side. ZenML is SOC2 and ISO 27001 Compliant ZenML is SOC2 and ISO 27001 compliant, validating our adherence to industry-leading standards for data security, availability, and confidentiality in our ongoing commitment to protecting your ML workflows and data. Everything you need to know about the product. Join the ZenML Community and start improving your MLOps stacks registered last 12 months ZenML offers the capability to build end-to-end ML workflows t

Key Metrics
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Avg Rating
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0
Mentions (30d)
0
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GitHub Stars
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GitHub Forks
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npm Downloads/wk
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PyPI Downloads/mo
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Community Sentiment
How developers feel about each tool based on mentions and reviews

Hopsworks

0% positive100% neutral0% negative

ZenML

0% positive100% neutral0% negative
Pricing

Hopsworks

usage-based + tieredFree tier

Pricing found: $0

ZenML

subscription + contract + tiered

Pricing found: $399 /month, $999 /month, $2,499 /month, $399/mo, $999/mo

Use Cases
When to use each tool

Hopsworks (1)

Instant Data, Infinite Compute.
Features

Only in Hopsworks (10)

Feature StoreAI LakehouseMLOps PlatformBuild ML Pipelines with Claude Code inside HopsworksBuilt for QualityInstant Data, Infinite Compute.Real-time AIFeature FreshnessGPUs at Any ScaleThe AI Lakehouse

Only in ZenML (8)

Iterate at warp speedLimitless scalingAuto-track everythingBackend flexibility, zero lock-inShared ML building blocksStreamline cloud expensesSecurity guardrails, alwaysStart deploying reproducible AI workflows today
Developer Ecosystem
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GitHub Repos
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—
GitHub Followers
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2
npm Packages
20
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HuggingFace Models
—
—
SO Reputation
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Product Screenshots

Hopsworks

Hopsworks screenshot 1Hopsworks screenshot 2

ZenML

ZenML screenshot 1ZenML screenshot 2ZenML screenshot 3ZenML screenshot 4
Company Intel
information technology & services
Industry
information technology & services
36
Employees
18
$13.5M
Funding
$6.4M
Venture (Round not Specified)
Stage
Seed
Supported Languages & Categories

Hopsworks

AI factoryproduction MLenterprise AIfeature storeMLOps

ZenML

AI/MLDevOpsSecuritySaaSDeveloper Tools
View Hopsworks Profile View ZenML Profile