Latest news with #DatabricksSQL
Business Wire
2 days ago
- Business
- Business Wire
Superblocks Announces Strategic Partnership with Databricks Data Intelligence Platform to Deploy Data and AI Apps Securely
NEW YORK--(BUSINESS WIRE)-- Superblocks, the leading platform for secure enterprise application development, today announced an expanded partnership and native integration with Databricks, the Data and AI company, at the 2025 Databricks Data + AI Summit. Now, enterprises are able to build internal data and AI applications using Superblocks' unique multi-modal development experience and leveraging data, AI, and governance in the Databricks Data Intelligence Platform. 'Our customers have invested in building a data and AI foundation in Databricks, and are increasingly turning to applications to help democratize those investments across their organization,' said Shanku Niyogi, VP of Product at Databricks. Enterprises today are under increasing pressure to turn data and AI into secure, production-ready applications that power and automate core business operations. With Superblocks on Databricks, teams get the best of both worlds: centralized access to enterprise data and AI models from Databricks, combined with the flexibility of Superblocks to build full-stack internal apps using Clark AI, the Visual Editor, or the underlying React framework. Superblocks brings a powerful application builder to the Databricks Data Intelligence Platform, enabling engineering, IT, and business teams to collaboratively build and deploy internal apps faster than ever. With native integration, teams can also seamlessly leverage Databricks services including Databricks SQL, Mosaic AI, Lakebase, and Unity Catalog to power their applications — all within a unified, secure environment. 'Our customers have invested in building a data and AI foundation in Databricks, and are increasingly turning to applications to help democratize those investments across their organization,' said Shanku Niyogi, VP of Product at Databricks. 'With Superblocks' integration with Databricks, they're able to accelerate the development of these data and AI applications, without sacrificing security and governance.' Superblocks enables a multi-modal development experience, so teams can build in the way that best suits their workflow: Generate with AI: Use Clark, the first AI agent for internal enterprise apps, to generate full-stack apps from natural language prompts. Build visually: Refine UIs, agents, and workflows using hundreds of drag-and-drop components. Customize with JavaScript or bring your own React components. Extend with Code: Edit underlying React code directly in your IDE (Cursor, Windsurf, VSCode) with real-time sync to the Visual Editor. Customers then have the option of hosting these applications in Superblocks Cloud, in their own VPC using the Superblock on-prem agent, or, as part of a future integration, directly as a Databricks App with the built-in security, governance, and compliance controls of the Databricks Data Intelligence Platform. 'Databricks has transformed how organizations access and leverage data and AI. Superblocks takes it a step further empowering engineering, IT, and business teams to collaborate and build internal apps on top of that foundation,' said Brad Menezes, CEO of Superblocks. 'Together, we're unlocking a new era of enterprise software development where anyone can build secure, production-grade internal tools with full governance, all within the Databricks Data Intelligence Platform.' The ability to integrate Databricks products in a Superblocks application is now generally available to all customers. To learn more about the partnership, please visit our blog, or schedule a demo to see Superblocks and Databricks in action. About Superblocks: Superblocks is an AI platform that reimagines how internal software is built across the enterprise. Its AI agent, Clark, allows businesses to build production-grade internal apps and automations using natural language. Every app connects directly to company systems, data, and design standards, while generating clean, traceable React code under the hood. With full visibility and control for engineering and IT, Superblocks enables faster execution, fewer bottlenecks, and a new model for building internal software at scale. Superblocks has raised $60M in funding and is backed by Spark Capital, Kleiner Perkins, Greenoaks, and Meritech Capital, as well as leading tech executives including the founders of Workday, Box, and Okta.
Bloomberg
2 days ago
- Business
- Bloomberg
Databricks Eyes $1 Billion Sales for Data Warehousing Product
Databricks Inc., a software provider among the most valuable startup companies, said its data warehousing business is on track to nearly double in size this year, and it's launching a new database product that it hopes will follow a similar growth trajectory. The company expects $1 billion in revenue run rate for Databricks SQL by the end of its fiscal year in January 2026, a spokesperson said. That's up from a $600 million run rate in December 2024. Used for storing and analyzing data, Databricks SQL is the company's product that competes most directly with Snowflake Inc.
Business Wire
3 days ago
- Business
- Business Wire
Spice AI Partners With Databricks to Extend Operational Data & AI Capabilities to Real-Time Applications and Agents
SEATTLE--(BUSINESS WIRE)--Spice AI, a leader in enabling organizations to drive value from their operational data in AI applications and agent development, today announced the expansion of its partnership with Databricks, the Data and AI company, with the launch of Spice AI's new integration with the Databricks Data Intelligence Platform. The new integration increases developer productivity, accelerates the building of AI applications and agents, and enables organizations to drive more value from their data leveraging the Databricks Data Intelligence Platform. Organizations are under increasing pressure to drive top-line revenue growth and value from their data while reducing cost and complexity when building applications while also maintaining high standards of security and governance. With Spice AI and Databricks, customers enjoy native access to Unity Catalog, Databricks' open and unified governance solution, and Databricks SQL, the company's intelligent data warehouse. With enterprise-grade security via the Databricks Data Intelligence Platform, the partnership also includes a direct integration with Databricks Mosaic AI Gateway and Mosaic AI Model Serving. Built on an open lakehouse architecture, Databricks' Data Intelligence Platform enables customers to democratize and scale data and AI across their organization. With Spice AI and Databricks, customers can reduce operational complexity, improve application performance, and accelerate time-to-market for their applications and AI agents. Native Integrations "The Databricks and Spice AI partnership bridges the gap between cloud-scale analytics and edge computing requirements, enabling organizations to build next-generation intelligent applications. By combining Databricks' Data Intelligence Platform with Spice AI's edge computing capabilities, customers can deploy sophisticated AI applications that operate across cloud and edge environments,' said Luke Kim, Founder & CEO, at Spice AI. Key Spice AI capabilities available to Databricks customers include: Native integration with Databricks SQL warehouse for high-performance SQL queries with acceleration. Unified query across Databricks, on-premises, and edge data sources. Native support for Databricks Mosaic AI model serving and embeddings. Unity Catalog integration for governance and security including credential vendoring. Apache Iceberg TM & Delta Lake support for query and management of open format tables via Unity Catalog. Service Principal M2M & U2M OAuth authentication for enterprise-grade role-based security. 'Partnering with Spice AI has transformed how NRC Health delivers AI-driven insights. By unifying siloed data across systems, we accelerated AI feature development, reducing time-to-market from months to weeks - and sometimes days. More than boosting speed and efficiency, Spice has empowered our developers to build dependable, patient-centric tools, like AI-powered rounding summaries, that directly improve care. With predictable costs and faster innovation, Spice isn't just solving some of our data and AI challenges - it's helping us redefine personalized healthcare,' said Tim Ottersburg, VP of Technology, NRC Health. "Today, nearly every enterprise organization is looking to invest in domain-specific AI agents. Successfully leveraging operational data is a key success factor in building agents that make a real business impact,' said Roger Murff, VP of Technology Partners at Databricks. 'We are thrilled to partner with Spice AI to deliver a solution on the Databricks Data Intelligence Platform that enables organizations to extract maximum value from their data and deliver true data intelligence to our joint customers.' Spice AI's support for the Databricks Data Intelligence Platform is available today. To learn more about the partnership with Databricks, visit or stop by the Spice AI at Booth #D114 at Data + AI Summit in San Francisco, June 10-13. About Spice AI Spice AI is purpose-built to help enterprises ground AI in data. By unifying federated data query, retrieval, and AI inference into a single engine, Spice mitigates AI hallucinations, accelerates data access for mission-critical workloads, and makes it simple and easy for developers to build fast and accurate data-intensive applications across cloud, edge, or on-prem. To read more about Spice AI's recent product announcement enabling a portable compute engine for data-grounded AI, please visit: Spice AI is headquartered in Seattle, WA. For more information on how Spice AI helps customers drive value from their data and accelerate their AI application and agent development, please visit:
Yahoo
15-05-2025
- Business
- Yahoo
Liquibase Partners With Databricks to Bring Modern Change Management to the Lakehouse
Liquibase Pro and the Databricks Data Intelligence Platform help data teams automate and govern schema changes with the speed and control today's data products require. AUSTIN, Texas, May 15, 2025--(BUSINESS WIRE)--Liquibase, the leader in Database DevOps, today announced the launch of the Liquibase Pro Extension for Databricks, a new integration with the Databricks Data Intelligence Platform designed to help data and platform teams manage schema changes in Databricks SQL with greater speed, structure, and confidence. As more organizations rely on Databricks to power mission-critical analytics, AI workloads, and production-grade data products, database change has become a growing challenge. Most teams still rely on notebooks, SQL scripts, and ticket-based processes to make updates. These manual workflows introduce risk, increase complexity, and delay delivery. "Data teams need to move faster and without putting their business at risk. Liquibase Pro delivers exactly that, bringing structured change management to the Lakehouse so teams can accelerate delivery, safely," said Kevin Chappell, VP of Strategic Partnerships at Liquibase. "Liquibase Pro gives teams a repeatable, safe way to deliver database changes with the same speed and discipline they expect everywhere else in their stack." With this new offering, Liquibase brings modern change automation directly into the Databricks environment. It helps teams move faster while maintaining control, auditability, and compliance. Key capabilities include: Version-controlled deployments of SQL objects and Python-based UDFs Support for Unity Catalog, Time Travel, volumes, and CLONE TABLE operations Environment-specific configuration to prevent drift across dev, staging, and production Built-in changelog validation, policy enforcement, and audit trails Elimination of notebook and script-based deployment workflows "As more organizations standardize on lakehouse architecture for analytics and AI workloads, managing schema changes consistently becomes a critical part of delivering trusted data intelligence," said Ariel Amster, Director, Strategic Technology Partners at Databricks. "This solution from Liquibase helps our customers simplify change management while benefiting from the Databricks Data Intelligence Platform's best-in-class governance capabilities." The Liquibase Pro Extension for Databricks is available now for Databricks customers. To learn more, visit Additional Resources: In NYC on June 5, 2025? To register for the upcoming Liquibase Private Dinner - Modernizing Database Change in Regulated Environments - visit: Going to the Databricks Data + AI Summit? To register for the June 11, 2025 Private Dinner - Liquibase + Databricks: Modern Data Products Need Modern Change Management - visit: To learn more about Database DevOps, accelerating and modernizing database change management, and fixing the last mile of software and data change, please visit: About Liquibase Liquibase empowers teams to deliver mission-critical software, data products, and AI applications by automating and governing database change. We are the company behind Liquibase, the popular open source project downloaded more than 100 million times and trusted by thousands of teams worldwide. Liquibase Pro is an enterprise-grade, unified Database DevOps platform built on top of that proven open source foundation. It gives developers, platform teams, and data teams the automation, policy enforcement, and observability they need to move fast with confidence. Trusted by the world's most innovative and highly regulated enterprises, Liquibase Pro powers the last mile of software and data delivery. The future of software and data delivery depends on making database change fast, trusted, and predictable. That is what Liquibase delivers. Learn more at Follow on LinkedIn and X (Twitter). View source version on Contacts Media Contact Torry CullenTorry@ (781)363-2542 Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Business Wire
15-05-2025
- Business
- Business Wire
Liquibase Partners With Databricks to Bring Modern Change Management to the Lakehouse
AUSTIN, Texas--(BUSINESS WIRE)--Liquibase, the leader in Database DevOps, today announced the launch of the Liquibase Pro Extension for Databricks, a new integration with the Databricks Data Intelligence Platform designed to help data and platform teams manage schema changes in Databricks SQL with greater speed, structure, and confidence. Data teams need to move faster and without putting their business at risk. Liquibase Pro delivers exactly that, bringing structured change management to the Lakehouse so teams can accelerate delivery, safely. As more organizations rely on Databricks to power mission-critical analytics, AI workloads, and production-grade data products, database change has become a growing challenge. Most teams still rely on notebooks, SQL scripts, and ticket-based processes to make updates. These manual workflows introduce risk, increase complexity, and delay delivery. 'Data teams need to move faster and without putting their business at risk. Liquibase Pro delivers exactly that, bringing structured change management to the Lakehouse so teams can accelerate delivery, safely,' said Kevin Chappell, VP of Strategic Partnerships at Liquibase. 'Liquibase Pro gives teams a repeatable, safe way to deliver database changes with the same speed and discipline they expect everywhere else in their stack.' With this new offering, Liquibase brings modern change automation directly into the Databricks environment. It helps teams move faster while maintaining control, auditability, and compliance. Key capabilities include: Version-controlled deployments of SQL objects and Python-based UDFs Support for Unity Catalog, Time Travel, volumes, and CLONE TABLE operations Environment-specific configuration to prevent drift across dev, staging, and production Built-in changelog validation, policy enforcement, and audit trails Elimination of notebook and script-based deployment workflows 'As more organizations standardize on lakehouse architecture for analytics and AI workloads, managing schema changes consistently becomes a critical part of delivering trusted data intelligence,' said Ariel Amster, Director, Strategic Technology Partners at Databricks. 'This solution from Liquibase helps our customers simplify change management while benefiting from the Databricks Data Intelligence Platform's best-in-class governance capabilities.' The Liquibase Pro Extension for Databricks is available now for Databricks customers. To learn more, visit Additional Resources: In NYC on June 5, 2025? To register for the upcoming Liquibase Private Dinner - Modernizing Database Change in Regulated Environments - visit: Going to the Databricks Data + AI Summit? To register for the June 11, 2025 Private Dinner - Liquibase + Databricks: Modern Data Products Need Modern Change Management - visit: To learn more about Database DevOps, accelerating and modernizing database change management, and fixing the last mile of software and data change, please visit: About Liquibase Liquibase empowers teams to deliver mission-critical software, data products, and AI applications by automating and governing database change. We are the company behind Liquibase, the popular open source project downloaded more than 100 million times and trusted by thousands of teams worldwide. Liquibase Pro is an enterprise-grade, unified Database DevOps platform built on top of that proven open source foundation. It gives developers, platform teams, and data teams the automation, policy enforcement, and observability they need to move fast with confidence. Trusted by the world's most innovative and highly regulated enterprises, Liquibase Pro powers the last mile of software and data delivery. The future of software and data delivery depends on making database change fast, trusted, and predictable. That is what Liquibase delivers. Learn more at Follow on LinkedIn and X (Twitter).
