Databricks

Databricks is a data analytics platform providing collaborative environments build on Apache Spark.

Partner Overview

Databricks is a unified data analytics platform that accelerates data science, engineering, and machine learning by providing collaborative, cloud-based environments built on Apache Spark.

Products

Databricks Marketplace

Databricks Marketplace enables its provider partners reach more customers, reduce cost and provide a best-in-class experience for all their data sharing needs. The marketplace launched in June 2022. It is an open marketplace for data as well as AI and analytics assets such as ML models, notebooks, applications. There, data consumers can discover, evaluate, and access data products from third-party vendors without having to be on the Databricks platform, thanks to open Delta Sharing.

Delta Sharing was developed by Databricks in collaboration with the Linux Foundation to provide the first open source approach to sharing data, analytics and AI. It enables customers to share live data across platforms, clouds and regions with strong security and governance.‍

Data providers can add rich context to their products

To create conversion-optimized data products, data providers can add visualizations, dashboards and notebooks to their listings on Databricks. For example, an ESG data provider could create a notebook showing how the data could be utilized for NLP analysis, a dashboard that provides a visualization of the worst polluting companies, and a model showing how the data provides recommendations on when a company's ESG ranking will change (example taken from Databricks blog).

This feature differentiates Databricks Marketplace from many other marketplaces, on which providers are restricted to packaging and distributing datasets with only a brief write-up or out-of-context query examples to explaining their dataset listing.

Not restricted by data format

Databricks and Delta Sharing facilitates data in any format. This means providers can list datasets on the Marketplace whether they’re selling image, text, tabular, unstructured, structured, or any other kind of data.

Data sharing is easily scalable and commercially viable

Sharing data across clouds, platforms and geographical regions is seamless via Databricks. Data providers can share their data products without having to move or replicate the products from their cloud storage. Providers can replicate data products as desired, but this is optional, unlike many data sharing platforms which force providers to replicate listings and incur additional costs.

Privacy-safe data clean rooms

Collaborate with customers and partners on any cloud in a privacy-safe environment with Databricks Clean Rooms. Securely share data from data lakes without data replication or security risks.

Audience

D‍atabricks offers data-driven solutions for almost every industry, including healthcare, entertainment, retail, financial services, communications, and technology & software. As such, its customer base is global and includes brands such as Comcast, StrongArm, Rolls Royce, and Walgreens.

T‍he total addressable market of potential data buyers is wider than the users on the Databricks platform, as companies can access data products from this open marketplace without being a Databricks customer.

Databricks Marketplace enables data users to compare and filter by providers and categories

Integration Details

When you activate Databricks Marketplace using Monda, your Data Products are published there within minutes and are discoverable to buyers worldwide.

Market Inside Data's products listed on Databricks Marketplace minutes after they activated within Monda

What data is synced?

When you publish your storefront to Databricks using your Monda account, the following is synced:

  • All activated Data Products
  • Data samples (first 10 rows)
  • Product title
  • Product description (long)
  • Product category
  • Provider name
  • Provider logo
  • Provider description
How a data product from PredictHQ looks after syncing it to Databricks using Monda

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