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Leading up to its annual Data + AI Summit, enterprise data lakehouse vendor Databricks announces that its Marketplace service will soon host next-generation applications that can run natively within the lakehouse and host ready-to-use models Did. , shared and monetized by third parties.
The move will give Databricks enterprise customers more resources to harness their data, ideally driving value and business growth. Led by Ali Ghodsi, the company is gearing up to open its marketplace to the public on June 28th.
How can the Lakehouse app help?
Since previewing last year, Databricks Marketplace has enabled data consumers and providers to discover, share, and share data products such as datasets, notebooks, and dashboards without the need for platform dependencies, complex ETL, or expensive replication. It has served as an open platform that can be monetized.
With the addition of the Lakehouse app, the company is expanding this ecosystem to include third-party apps that leverage next-generation technologies such as large-scale language models to unlock the value of data.
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Until now, software vendors have been unable to deploy such applications on their customers’ data due to the complexity of obtaining the necessary security, legal and commercial approvals and clearing the hurdles to securely access data. I had a hard time doing it.
The Lakehouse app addresses all these challenges and provides a way for vendors to offer potential customers a product with the same security, privacy, and compliance controls as Databricks.
When a Databricks user selects an app from the marketplace, that app runs directly on the Lakehouse instance and securely integrates with the data stored there. You can also use and extend Databricks services. All without data ever leaving the customer’s instance.
First, the company is working to bring multiple Lakehouse apps to market, including Retool, Lamini, Posit, and Kumo AI. As the platform evolves, more vendors are expected to participate.
Model sharing for simplified access to AI
Similar to the Lakehouse app, the Databricks Marketplace provides easy access to AI models developed and contributed by third parties for a variety of use cases and domains.
“For example, a provider built a domain-specific model, a natural language model for detecting clinical phrases specific to medicine. I can now take that model and use it in addition to my data without having to travel outside,” Joel Minnick, vice president of product marketing at Databricks, told VentureBeat.
This way, customers get the models they need where the data lives, while providers can monetize their work and reach thousands of businesses on Databricks.
Available on Databricks Marketplace
There are currently no plans to make the Lakehouse app and AI model sharing available on the Databricks Marketplace. The company said it is working on these products and plans to release a preview version next year.
We are also adding new data providers to the market including S&P Global, Corelogic, YipitData, Datavant, IQVIA, Accuweather, Safegraph and LiveRamp.
Of note, Databricks’ main competitor, Snowflake, also offers a marketplace offering data, data services, and applications from leading data and solutions providers. However, the AI model sharing functionality is not yet hosted.
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