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Hopsworks

The flexible AI Lakehouse with seamless integration.

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October 29, 2024

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Hopsworks

674

3.0(1)1

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The flexible AI Lakehouse with seamless integration.

Overview

Overview Releases Pricing Reviews Prompts Pros & Cons Q&A Alternatives Recommendations

AI488 0

API AI Lakehouse Data Management Feature Store Real Time Data Data Analytics

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By unverified author Claim this AI

Hopsworks is an AI Lakehouse tool that provides a flexible and modular architecture for data and AI projects. It is designed to improve the productivity of data and AI teams by seamlessly integrating with existing pipelines and offering superior performance.

One of the main components of Hopsworks is a feature store that enables management, versioning, and deployment of AI features and models in a unified platform.

The tool provides in-depth analytics and predictive capabilities to deliver accurate insights from data. It supports end-to-end data management, facilitating the development and deployment of robust, cost-effective, and private AI models tailored to the specific needs of an enterprise in real-time data.

The tool can be operated on-premises, fully managed or on any cloud depending on the preference of the organization. The tool is designed to easily integrate with teams, tools, frameworks, and systems across any environment while maintaining open standards in file formats, process, and languages across all tools.

It has multiple application possibilities including real-time fraud detection, generative AI, healthcare. and many others, making it versatile for diverse data-driven operations.

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Initial release

April 17, 2024

Initial release of Hopsworks.

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Comments(1)

Daniel S

🛠️ 1 tool 🙏 78 karma

Jul 18, 2025

Rated it

This is a powerful AI build for production, it is well-integrated and fast. It's not the easiest to learn, but if you need serious control and scale, it's worth the effort.

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Hopsworks was manually vetted by our editorial team and was first featured on October 29th 2024.

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Pros and Cons

Pros

Modular architecture

Integrated feature store

Supports data versioning

In-depth analytics capabilities

Predictive capabilities

End-to-end data management

Real-time data handling

Operates on-premises

Operates on any cloud

Seamlessly integrates with teams

Open standards compliance

Real-time fraud detection

Healthcare data handling

Flexible deployment options

Suitable for various applications

Supports existing data sources

Increased team productivity

Superior performance

Improved productivity for data teams

Feature store for versioning

Flexible integration for existing pipelines

Can be fully managed

Improves efficiency across projects

Promotes seamless feature sharing

Ensures data traceability

Increased model performance in production

Ultra-low latency in feature reading and updating

Supports sovereign data and better governance

Easily integrates with systems across any environment

Offers straightforward APIs and minimal setup

No need for DSL or specialized languages

Supports Python-first collaborative environment

Supports vector indexing

Better predictions and less drifts

High availability and superior performance

Secure and trustworthy platform

Certified in ISO 27001 and SOC 2 Type 2

Fully compliant with GDPR

24/7 enterprise support available

View 34 more pros

Cons

Website experiences issues

No free version available

Too complex for beginners

Not best for small data

Limited customer testimonials

Limited integration examples

Requires high-performance hardware

Lack of user community

Possible latency with integrations

Potentially overwhelming featureset

View 5 more cons

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Q&A

What is Hopsworks?

Hopsworks is an AI Lakehouse tool providing a flexible and modular architecture for data and AI projects. Its design aims to enhance the productivity of data and AI teams by seamlessly integrating with existing pipelines.

How can Hopsworks improve the productivity of data and AI teams?

Hopsworks improves the productivity of data and AI teams by delivering superior performance and offering smooth integration with existing pipelines. Its flexible and modular architecture supports diverse data and AI projects.

What is the feature store component of Hopsworks used for?

The feature store component of Hopsworks is used to manage, version, and deploy AI features and models. It functions as a unified platform that facilitates the smooth running of AI projects.

How does Hopsworks deliver accurate insights from data?

Hopsworks delivers accurate insights from data through its in-depth analytics and predictive capabilities. This way, it is able to deliver critical and precise information derived from the collected data.

How does Hopsworks support end-to-end data management?

Hopsworks supports end-to-end data management through a structured system that assists in the operation of AI and data projects. This includes the deployment of robust, cost-effective, and private AI models tailored to match specific enterprise needs.

How does Hopsworks facilitate the development and deployment of AI models?

Hopsworks facilitates the development and deployment of AI models by providing a feature store that enables the management, versioning, and deployment of AI features and models on a unified platform. It also supports the creation of robust, cost-effective, and private AI models.

+ Show 14 more

Can Hopsworks be operated on-premises, fully managed or on any cloud?

Yes, Hopsworks can be operated on-premises, be fully managed, or be set up on any cloud. The selection is dependent on the preference of the organization.

How does Hopsworks integrate with teams, tools, frameworks, and systems?

Hopsworks is designed to easily integrate with teams, tools, frameworks, and systems across any environment, which makes it an inclusive tool for diverse operational requirements.

What are the open standards maintained by Hopsworks?

Hopsworks maintains open standards in file formats, processes, and languages across all its tools. This promotes inter-operability and data consistency within its framework.

What are some of the application possibilities of Hopsworks?

Hopsworks has multiple application possibilities including real-time fraud detection, generative AI, and healthcare, making it flexible for diverse data-driven operations.

What is the real-time fraud detection capability of Hopsworks?

Hopsworks offers real-time fraud detection capability, which makes it possible to detect and prevent fraudulent transactions as they occur. This feature makes it an invaluable tool for financial institutions and other areas requiring fraud monitoring.

How does Hopsworks handle healthcare data?

Hopsworks handles healthcare data by applying AI technologies for assessment and prediction. This can help in identifying patterns and drawing insights that can be instrumental in decision-making in the healthcare sector.

How can an enterprise benefit from using Hopsworks?

Enterprises can benefit from using Hopsworks to enhance their data and AI operations. This may include improving productivity, seamlessly integrating with existing pipelines, managing and versioning AI features, delivering accurate insights, supporting end-to-end data management, and facilitating the development and deployment of robust and customized AI models.

What is the purpose of data versioning in Hopsworks?

Data versioning in Hopsworks allows for the tracking and managing of different versions of data. It ensures data integrity and allows historical data to be retrieved or old versions of data to be referenced whenever necessary.

What are the predictive capabilities of Hopsworks?

The predictive capabilities of Hopsworks are facilitated by its in-depth analytics, which enable it to deliver accurate insights and future predictions from data.

How flexible is the modular architecture of Hopsworks for data and AI projects?

The modular architecture of Hopsworks is highly flexible, designed for various data and AI projects. It can be adjusted to fit specific needs, making it suitable for a wide range of applications.

How does Hopsworks conform to data analytics needs?

Hopsworks handles data analytics needs by providing in-depth analytics and predictive capabilities. It captures, examines and interprets data patterns to offer reliable insights and future trends.

How does Hopsworks handle AI model deployment?

Hopsworks handles AI model deployment through its feature store, which works as a unified platform to manage, version, and deploy AI features and models. This enhances operational efficiency in the creation and use of AI models.

What are the capabilities of Hopsworks in managing real-time data?

Hopsworks has the capability to manage real-time data efficiently. It supports the development and deployment of AI models that are tailored to process and analyze real-time data.

How customizable is Hopsworks for specific organizational needs?

Hopsworks is highly customizable for specific organizational needs. From operation modes, be it on-premises, fully managed or on any cloud, to maintaining the open standards in file formats, processes, and languages across all its tools, and from its modular architecture to its flexible deployment and integration capabilities, it can be adjusted to fit the unique needs of an organization.

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