2 min read

Crux and Databricks Expand Partnership to Supercharge Data Integration and Analytics Capabilities

We are very excited to announce the expansion of our partnership with Databricks, the leading Data and AI company, to bring you even more powerful data integration and analytics solutions. Crux is committed to bridging the gap between external data sources and cloud data warehouses as an end-to-end data integration, transformation, and observability solution. Through our extensive data provider network, we have made 75 data sources available in the Databricks Marketplace, empowering users with a wide range of datasets to fuel data-driven insights.

Empowering Data Integration and Analytics: At Crux, we understand the complexities of data engineering. Our platform is a facilitator, working closely with external data vendors to address integration challenges, build robust pipelines, and tackle intricate ETL (Extract, Transform, Load) processes. This partnership with Databricks allows us to seamlessly leverage their open data marketplace and deliver analytics-ready datasets. By doing so, we accelerate the time you take to derive value from your data.

Secure Data Exchange with Databricks Delta Sharing: We are proud to be part of Databricks' Delta Sharing, an open standard for secure data exchange. This standard enables data suppliers partnered with Crux to securely share traditional financial datasets, including credit risk, stock exchange/equity pricing, corporate actions reference, index data, and alternative datasets such as sentiment and ESG (Environmental, Social, and Governance). This secure exchange empowers customers to access and utilize valuable datasets in any modern cloud environment.

Immediate Access to Analytics-Ready Data: With our expanded partnership, Crux enables Databricks customers to access analytics-ready data immediately. Unlike sample queries, our technology provides accurate data during discovery and evaluation. This feature allows you to trial data quickly and make informed decisions based on the needed information, streamlining your evaluation process and accelerating insights.

Benefits for Data Consumers and Providers: This partnership between Crux and Databricks is a win-win for data consumers and providers. For data consumers, the seamless integration of our data pipelines with the Databricks platform ensures immediate access to analytics-ready data. By partnering with Crux, data suppliers gain additional exposure to leads, including hard-to-reach buyer personas like data scientists and quants. This collaboration expands opportunities for data suppliers within the thriving Databricks ecosystem.

Looking Ahead: Our partnership with Databricks aligns perfectly with Crux's growth strategy. Databricks, with its 9,000+ customers and commitment to delivering meaningful insights, is a significant player in the industry. Financial services, one of Databricks' strongest and fastest-growing sectors, is where Crux excels. We are excited about this partnership's potential for both companies as we continue to simplify data integration, transform the analytics landscape, and empower organizations to make data-driven decisions.

Join the Data Integration Revolution: Crux is proud to have surpassed the milestone of 60,000 built pipelines within our ecosystem. Our unique approach to external data integration has been recognized by over 265+ data providers and top public cloud marketplaces. We invite you to learn more about how Crux can revolutionize your data integration and analytics capabilities by visiting our website at cruxdata.com.

In collaboration with Databricks, we are committed to unlocking the true potential of your data, delivering the insights you need, when and where you need them. Stay tuned for more updates on our exciting partnership and the latest data integration and analytics developments.

To read the original press release, please visit https://www.prnewswire.com/news-releases/crux-now-connects-75-top-financial-and-alternative-data-sources-to-the-databricks-marketplace-301864873.html

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