本網站使用瀏覽器紀錄 (Cookies) 來提供您最好的使用體驗，我們使用的 Cookie 也包括了第三方 Cookie。相關資訊請訪問我們的隱私權與 Cookie 政策。如果您選擇繼續瀏覽或關閉這個提示，便表示您已接受我們的網站使用條款。 關閉
A Landmark Achievement in Service Delivery Excellence – YASH Technologies Joins the Top Tier of Salesforce Partners EAST MOLINE, Ill., April 2, 2025 /PRNewswire/ -- YASH Technologies, a leading global technology services and systems integration company, is proud to announce its elevation to Summit (Platinum) Partner status within the Salesforce Partner Program. This prestigious milestone positions the organization among the top tier of Salesforce Consulting partners worldwide. YASH Technologies achieves the coveted Salesforce Summit (Platinum) Partner status "This recognition exemplifies YASH's ability to align its consulting solutions with Salesforce's Customer 360 vision, led by Agentforce innovation to empower enterprises in their digital transformation journey," stated Ravi Dhote, VP and Salesforce Business Head at YASH Technologies. "At YASH, we prioritize building impactful and customer-focused solutions that maximize value with higher ROI for our Customers. Our elevation to Summit Partner status underscores our deep commitment to customer success and our ability to develop and deploy digital capabilities rapidly." Each Salesforce project undertaken by YASH is meticulously measured against partner performance scores and customer satisfaction (CSAT) surveys, reaffirming its dedication to quality and innovation. With an AI-led customer-first approach and consistent focus on service excellence, YASH Salesforce's practice has successfully handled challenges, adapted to evolving client needs, and delivered meaningful business results, contributing to this significant recognition. Nitin Gupta, Global Head of Digital & Infrastructure Services at YASH Technologies, emphasized the company's forward-thinking approach: "Artificial Intelligence is fundamentally reshaping how businesses engage with customers and drive operational efficiency. At YASH, we are at the forefront of integrating Agentic AI into our Enterprise solutions to deliver intelligent, responsive, and scalable customer experiences. The summit-level recognition validates our ability to harness these innovations and accelerate digital transformation for enterprises globally. We are excited to continue leveraging our deep Salesforce capabilities to create meaningful business impact." As a Summit Partner, YASH Technologies will continue to invest and continue to build deep expertise in the Salesforce platform that addresses evolving business needs. YASH as one of the key sponsors for the upcoming Agentforce Events (NYC, Dubai, and Mumbai), will showcase its Agentforce offering with 'Live Autonomous Agent' spanning across Sales, Service, and Marketing functions. About YASH Technologies: YASH Technologies focuses on enabling its customers to reimagine their businesses and drive outcome-centric Digital Transformation. As a leading technology integrator and outsourcing partner for large and fast-growing global customers, YASH leverages strategic advisory, technology consulting, and flexible business models to help customers realize value from their digital journey while fostering innovation. YASH's customer-centric & consultative engagement framework integrates specialized domain & consulting capabilities with proprietary methodologies and digital solutions to provide secure application, cloud, infrastructure, engineering, and end-user-focused services for discerning customers globally. Headquartered in the US, with delivery and sales centers globally, YASH serves its customers across six continents. YASH is CMMI DEV V2.0 Level 5 & an ISO 9001:2015, ISO 27001:2013, and ISO 20000:2011 certified organization. For more information, please visit www.yash.com or email info@yash.com.
Former Snowflake marketing leader to drive Starburst's growth and awareness in data and AI BOSTON, Jan. 9, 2025 /PRNewswire/ -- Starburst, the hybrid data lakehouse company for AI, today announced the appointment of marketing veteran Lisa Luscap as Chief Marketing Officer. Luscap will lead the company's next phase of growth and accelerate awareness of Starburst's data and AI platform, powered by OS Trino. The rising demand for AI and machine learning (ML) has amplified the need for hybrid data solutions like Starburst. These platforms enable rapid, cost-effective access to and querying of data across both on-premises and cloud environments, addressing the challenges posed by the volume, complexity, and distributed nature of data residing in numerous silos. As AI projects increasingly rely on robust data platforms to support LLMs and other AI and ML applications, Starburst simplifies these challenges and delivers data solutions essential for AI-driven innovation. "Supplying relevant data is the key bottleneck for enterprises to compete in this new era of AI," said Steven Chung, President of Starburst. "As the leading hybrid data lakehouse trusted by companies like Amazon, Netflix, and Halliburton, Starburst empowers our customers to accelerate innovation in their AI and ML projects. Lisa's impressive track record will help us scale and reach new customers, industries and markets - key elements of our success. We're thrilled to welcome her leadership as an experienced and savvy start-up marketer to guide Starburst through its next stage of growth." Prior to joining Starburst, Luscap served as CMO at Pluralsight and was instrumental in leading marketing efforts at Snowflake, where she helped take the Data Cloud company public in September 2020. Over her more than twenty-year career, she has held marketing executive roles at VMware, HP, Siebel Systems and Dolby Laboratories, consistently driving growth and building brand and demand at every stage. "I'm excited to join the talented team at Starburst and help our customers accelerate their data, AI and ML initiatives," said Lisa Luscap. "Starburst's unique data and AI platform simplifies access to enterprise data across on-premises and cloud environments, enabling businesses to supercharge AI applications and agents to drive tangible outcomes." About Starburst Starburst, the Open Hybrid Lakehouse, is the leading end-to-end data platform to securely access, analyze, and share data for analytics and AI across hybrid, on-premises, and multi-cloud environments. As the leaders in Trino, a modern open-source SQL engine, Starburst empowers the most data-intensive and security-conscious organizations like Comcast, Halliburton, Vectra, EMIS Health, and 7 of the top 10 global banks to democratize data access, enhance analytics performance, and improve architecture optionality. With the Open Hybrid Lakehouse from Starburst, enterprises globally can easily discover and use all their data to power AI and other business-critical applications like anti-money laundering and fraud analytics, next best products, customer 360, log analytics, and ESG reporting. For additional information, please visit https://www.starburst.io/
Database pioneer continues to scale at $2B+ valuation as GenAI accelerates demand SAN MATEO, Calif., Nov. 19, 2024 /PRNewswire/ -- Neo4j®, the world's leading graph database and analytics company, announced that it has surpassed $200 million in annual recurring revenue (ARR), doubling its ARR over the past 3 years. The company is on track to be cash flow positive in the coming quarters, driven by its leadership in the expanding graph technology market, which is critical for improving the accuracy, transparency, and explainability of Generative AI (GenAI) results. Neo4j grew rapidly this year as organizations recognized graph databases as essential infrastructure for AI systems that leverage vast amounts of interconnected data. Neo4j serves as the optimized database for these applications. Growth was also driven by enterprise demand for Neo4j's cloud offering which has increased fivefold over the last three years, and partnership traction with leading cloud hyperscalers and ecosystem leaders. "By 2025, graph technologies will be used in 80% of data and analytics innovations, up from 10% in 2021, facilitating rapid decision-making across the enterprise," predicts Gartner® in its Exploring the Top Use Cases for Graph Analytics report, May 10, 2024. Neo4j leads the graph database management systems (DBMS) category with a 44% market share, based on an analysis by Cupole Consulting Group. Cupole estimates the total addressable market for the broader DBMS category at $110 billion in 2024, with graph DBMS growing at 32.6%+ CAGR driven by cloud adoption and emerging AI use cases. Neo4j is used by 84% of all Fortune 100 companies and 58% of the Fortune 500. Examples include Daimler, Dun & Bradstreet, EY, IBM, Merck, NASA, UBS, Walmart, and others. GenAI's growing demand for graph databases and GraphRAG Graph databases enable companies to store and query data in a way that mirrors how real-world entities are connected. Data is expressed as a knowledge graph, which grounds large language models (LLMs) in facts and rich context and gives AI systems better, faster access to relevant data critical for generating high-quality outputs. Neo4j is also a leader in GraphRAG, a technique that enables LLMs to retrieve data from external sources, augmenting these systems with knowledge and preventing hallucinations. Gartner noted the importance of GraphRAG in its Hype CycleTM For AI in Software Engineering, 2024 report: "RAG techniques in an enterprise context suffer from problems related to the veracity and completeness of responses caused by limitations in the accuracy of retrieval, contextual understanding, and response coherence. KGs (Knowledge Graphs), a well-established technology, can represent data held within documents and the metadata relating to the documents. Combining both aspects allows RAG applications to retrieve text based on the similarity to the question and contextual representation of the query and corpus, improving response accuracy." 2024 milestones accelerate Neo4j as the default database for interconnected data Neo4j enables builders to make their data GenAI-ready and create applications faster and easier with outcomes that are accurate, transparent, and explainable to normal humans. In 2023, Neo4j incorporated native vector search into its core database capabilities for richer GenAI insights. In 2024, Neo4j brought its graph data science solution to Snowflake AI Data Cloud, expanded its alliance with Deloitte, and continues to offer native integrations with LLM offerings across all major hyperscalers that are current with their updates. Neo4j also transformed its cloud portfolio this year to accelerate graph adoption and GenAI for the enterprise. The result has enabled Neo4j to advance its position as the category leader and the preferred graph partner across all major cloud service providers for its comprehensive offering, deployment flexibility, analytics, and strong community support, and accelerated further with GenAI. Neo4j was named a Visionary in the 2023 Gartner® Magic Quadrant™ for Cloud Database Management Systems among 19 other recognized global DBMS vendors. Neo4j was also ranked this year as a Strong Performer among 14 top vendors in The Forrester Wave™: Vector Databases, Q3 2024. 2025 growth fueled by new AI capabilities, cloud expansion, partnerships Neo4j plans to add new GenAI features to its core offering, expand its capabilities for mainstream cloud adoption, and deepen partnerships to serve as the default graph analytics and GraphRAG layer. The company recently secured $50 million in capital from Noteus Partners, a European specialist growth equity investment firm. While Neo4j is well capitalized and does not need the capital to run its business, the investment strengthens its balance sheet in the current macroeconomic climate, reaffirms the company's $2 billion valuation, and underscores the Neo4j's commitment to partnering with organizations it trusts and believes in. Graph is expected to accelerate further with ISO and IEC's 2024 publication of GQL, a new international standard for graph query language, signifying the maturity and omnipresence of graph technology. It is the first database query language to be certified since SQL in 1987. ISO invested more than five years of work into GQL with Neo4j involved from the start. Supporting quotes Sebastian Siemiatkowski, Co-Founder and CEO, Klarna"At Klarna, we're transforming the way we collaborate with our GenAI chatbot Kiki, powered by Neo4j's knowledge graph. Kiki brings together information across multiple disparate and siloed systems, improves the quality of that information, and explores it, enabling our teams to ask Kiki anything from resource needs to internal processes to how teams should work. It's having a huge impact on productivity in ways that were not possible to imagine before without graph and Neo4j." Patrick Pichette, Partner, Inovia Capital"Neo4j is an amazing story of innovation leadership, growth, and market-defining maturity. And with GenAI now moving from experiment to deployment, graphs are now becoming a foundational layer for so many critical LLM business applications; Neo4j stands as a clear leader in the space." Carl Olofson, Vice President, IDC"Neo4j pioneered the category of graph databases and continues to lead as an innovator, offering solutions that are increasingly vital for businesses managing complex, interconnected data. As demand for AI and advanced analytics grows, the role of graph technology will only become more critical for driving meaningful insights and decision-making." Emil Eifrem, Co-Founder and CEO, Neo4j"This milestone is a testament to the growing recognition of graph technology as foundational to the new data stack. Neo4j empowers customers to transform data into knowledge, unlocking insights and possibilities that weren't possible before. We're now at the forefront of a seismic shift in how organizations achieve this with GenAI, with Neo4j uniquely positioned to enable this new wave of innovation." Attributions and DisclaimersGartner, Magic Quadrant for Cloud Database Management Systems, Adam Ronthal, Rick Greenwald, Xingyu Gu, Ramke Ramakrishnan, Aaron Rosenbaum, Henry Cook, 18 December 2023 GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates and is used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. About Neo4jNeo4j, the Graph Database & Analytics leader, helps organizations find hidden relationships and patterns across billions of data connections deeply, easily, and quickly. Customers leverage the structure of their connected data to reveal new ways of solving their most pressing business problems, from fraud detection, customer 360, knowledge graphs, supply chain, personalization, IoT, network management, and more – even as their data grows. Neo4j's full graph stack delivers powerful native graph storage with native vector search capability, data science, advanced analytics, and visualization, with enterprise-grade security controls, scalable architecture, and ACID compliance. Neo4j's dynamic open-source community brings together over 250,000 developers, data scientists, and architects across hundreds of Fortune 500 companies, government agencies, and NGOs. Visit neo4j.com. Contact:pr@neo4j.com neo4j.com/pr ©2024 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.
HANOI, Vietnam, Oct. 18, 2024 /PRNewswire/ -- Techcombank, one of Vietnam's leading financial institutions, today announced that it has implemented the Databricks Data Intelligence Platform to drive its data and AI transformation across the organization. This new partnership is part of Techcombank's significant investments in digital, data and digital talent under its 2021-2025 transformation plan, which is enabling it to harness the power of data and AI to create unprecedented value for customers and drive faster, more profitable growth for the bank. Over the last three years, Techcombank has been consolidating data sources from across the bank and migrating them to the cloud to create a bank-wide 'data brain'. The migration to the Databricks Data Intelligence Platform will enable Techcombank to more efficiently unify data from over 50 systems, improve governance, streamline daily operational analytics pipelines, and use advanced analytics tools and AI to create more meaningful and personalized experiences for customers. "With over 14.4 million customers and a network of 315 branches, Techcombank processes vast volumes of data across its operations to make customer-centric and data-driven decisions. Databricks provides the technological foundation we need to unify all our data and advance our data analytics and AI capabilities. This will enable us to unlock more advanced AI use cases, enhance the customer experience and drive business growth," said Santhosh Mahendiran, Chief Data and Analytics Officer at Techcombank. Powering a more personalized banking experience with the Data Intelligence Platform The Databricks Data Intelligence Platform democratizes access to analytics and intelligent applications by marrying customers' data with powerful AI models tuned to the unique characteristics of their business. The platform is built on a lakehouse foundation of open data formats and open governance to ensure that all data is completely within the customers' control. Using Databricks, Techcombank's 'customer brain,' a customer 360 tool that centralizes all customer data within the bank, provides comprehensive insights that are pivotal for crafting targeted marketing strategies and personalized product offerings. By understanding customer behaviors and preferences at a granular level, Techcombank can offer precisely timed and contextually relevant solutions across digital and physical touchpoints, enhancing customer satisfaction and engagement. The 'customer brain,' which is built in-house, acts as a single-layer orchestration across the bank's channel. Techcombank now operates more than 45 advanced machine learning models to predict customer needs with precision. It has also implemented MLflow to manage the lifecycle of machine learning models and Unity Catalog to govern centralized data. Over the next year, Techcombank plans to further centralize thousands of machine learning features and models on the Databricks platform, driving predictive analytics and supporting its broader digital transformation goals. Using AI to drive business growth and mitigate risks With Databricks, Techcombank has also introduced key solutions that are reshaping its digital banking services: AI-driven lead management system: Techcombank's internally developed AI program called 'Lead Allocation Curated Engine (LACE)' optimizes lead management and provides relationship managers with enriched insights for smarter lead allocation to drive business growth. AI-powered program for digital banking inclusion of small businesses: An AI-powered GeoSense assists frontline workers with analytics-driven insights about which small businesses and merchants to approach — including those running out of their households — to engage in the bank's digital ecosystem. Fraud prevention and risk management: Machine learning models on Databricks help Techcombank detect and mitigate fraud while improving credit risk assessments, ensuring secure banking operations. Democratizing data and AI to nearly 1,000 users across the bank With a unified and simplified Data Intelligence Platform, nearly 1,000 of the bank's employees are now able to access data for data-driven decisions and reporting, democratizing data and AI access beyond the IT and technical teams. Techcombank is building a data-driven culture through data democratization and enablement, and has the highest number of learners in ASEAN who have spent more than three hours taking courses on Databricks Academy. Techcombank also has plans to further upskill 1,000+ employees in data and AI in the coming years, accelerating data and AI competency across the bank and enhancing the capabilities of their staff. The bank's workforce already includes over 1,800 data scientists, analysts, engineers and IT–related staff that are enabling its transformation into a bank powered by data and AI. "We are pleased that Techcombank has selected the Databricks Data Intelligence Platform as the foundation for its data and AI transformation. Unifying a vast amount of company data across numerous systems is critical for companies to apply AI and derive data intelligence to truly deliver meaningful insights for more personalized and tailored services. This positions Techcombank to lead the digital transformation in Vietnam's banking industry, setting a new benchmark for customer-centric AI-led banking," said Cecily Ng, Vice President and General Manager of ASEAN and Greater China, Databricks. ABOUT TECHCOMBANK (TICKER: TCB VN, HOSE) Vietnam Technological and Commercial Joint Stock Bank (Techcombank) is one of the largest joint stock banks in Vietnam, and a leading bank in Asia, with a vision to Change Banking, Change Lives. The Bank pursues a proven customer-centric strategy in providing a broad range of retail and corporate banking solutions and services to help financially empower its customers. Techcombank has 14.4 million retail and corporate customers, which it serves through a market-leading digital banking platform and mobile app, and an extensive network of transaction service outlets at locations across Vietnam. The Bank's ecosystem approach, co-created through partnerships in multiple key economic sectors, adds further scale and differentiation in one of the fastest growing markets in the world. Techcombank is rated AA-by FiinRatings, Ba3 by Moody's and BB- by S&P, which is the highest among Vietnam joint stock commercial banks. ABOUT DATABRICKS Databricks is the Data and AI company. More than 10,000 organisations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on LinkedIn, X and Facebook.
LONDON, Oct. 3, 2024 /PRNewswire/ -- Starburst, the open data lakehouse company, today announced it has appointed technology executive Steve Williamson as SVP and General Manager to lead the company's next phase of growth in EMEA. The rising demand for AI and ML in the region has sparked the need for hybrid technology solutions, such as Starburst, which can help companies access data across both on-premises and cloud IT environments. "EMEA holds some of the world's largest and most sophisticated companies whose success depends on secure, compliant, and efficient use of enterprise data to fuel their mission critical applications," said Steven Chung, President of Starburst. "We're thrilled to have Steve, a proven leader in this space, spearheading our expansion plans for the region." Prior to joining Starburst, Mr. Williamson served as General Manager of EMEA at Apptio. He has also served in executive roles at Acquia, Demandware/Salesforce, DELL/EMC, and Oracle with a 20 plus year track record of success delivering innovative technology to EMEA customers. "I'm excited to join Starburst to help our customers accelerate their AI, ML, and analytics capabilities," said Steve Williamson. "European enterprises have to navigate challenges in data privacy, security, and compliance whilst keeping up with the dynamic needs of the market. Starburst offers a unique technology - Trino and Apache Iceberg (aka "Icehouse") - that simplifies access to enterprise data in both on-premises and cloud architectures, driving faster revenue growth and lower costs while mitigating data risk." About Starburst: Starburst, the Open Hybrid Lakehouse, is the leading end-to-end data platform to securely access, analyze, and share data for analytics and AI across hybrid, on-premises, and multi-cloud environments. As the leaders in Trino, a modern open-source SQL engine, Starburst empowers the most data-intensive and security-conscious organizations like Comcast, Halliburton, Vectra, EMIS Health, and 7 of the top 10 global banks to democratize data access, enhance analytics performance, and improve architecture optionality. With the Open Hybrid Lakehouse from Starburst, enterprises globally can easily discover and use all their data to power AI and other business-critical applications like anti-money laundering and fraud analytics, next best products, customer 360, log analytics, and ESG reporting. For additional information, please visit https://www.starburst.io/
SAN FRANCISCO, June 12, 2024 /PRNewswire/ -- Databricks, the Data and AI company, today announced that it is open sourcing Unity Catalog, the industry's only unified solution for data and artificial intelligence (AI) governance across clouds, data formats and data platforms. This initiative builds on Databricks' commitment to open ecosystems, ensuring customers have the flexibility and control they need without vendor lock-in. Databricks is ushering in a new era for open catalog standards for data and AI with support from Amazon Web Services (AWS), Google Cloud, Microsoft, NVIDIA, Salesforce, and more. Unity Catalog OSS offers a universal interface that supports any data format and compute engine, including the ability to read tables with Delta Lake, Apache Iceberg™, and Apache Hudi™ clients via Delta Lake UniForm. It also supports the Iceberg REST Catalog and Hive Metastore (HMS) interface standards. Additionally, Unity Catalog OSS provides for unified governance across tabular, non-tabular data, and AI assets, such as machine learning (ML) models and generative AI tools, letting organizations simplify management at scale. Unity Catalog: The Leading Data and AI Catalog Databricks introduced Unity Catalog in 2021 to meet customer demand: organizations need an interoperable catalog for their data and AI workloads. Historically, organizations relied on multiple different single-purpose solutions, creating silos between platforms and between data and AI assets. These silos made it difficult to build modern data and AI applications, which combine tabular data in multiple table formats, unstructured data, ML models, vector indices, and AI tools. Customers created complex webs to manage metadata silos, copied data into different places or different formats to enable access by various engines, or maintained DIY solutions to sync metadata between catalogs. Ultimately, this led to increased costs and complexity, as well as weak governance and fragmented access control. Unity Catalog breaks down those silos for over 10,000 organizations. "Our customers love Unity Catalog. It lets them manage all their data objects — tabular data, unstructured data, and AI and ML assets — in a single source of truth within the Databricks Data Intelligence Platform, versus gluing together multiple single-purpose solutions," said Ali Ghodsi, Co-founder and CEO at Databricks. "Our platform is the only major data platform in the industry where all data is in an open format by default — now, metadata and governance are open as well, giving enterprises the governance solution they need in today's data and AI landscape. We're excited to open source Unity Catalog and release the code. We'll continue to evolve the open standard in close collaboration with our partners." Unity Catalog OSS is the industry's only universal catalog for data and AI. Key features include: Interoperability: Unity Catalog OSS offers a universal interface that supports any data format and compute engine, including the ability to read tables with Delta Lake, Apache Iceberg™, and Apache Hudi™ clients via Delta Lake UniForm. It also supports the Iceberg REST Catalog and Hive Metastore (HMS) interface standards. Unity Catalog OSS is interoperable with all major cloud platforms, including Microsoft Azure, AWS, GCP, and Salesforce; compute engines like Apache Spark™, Presto, Trino, DuckDB, Daft, PuppyGraph, and StarRocks; and data and AI platforms including dbt Labs, Confluent, Eventual, Fivetran, Granica, Immuta, Informatica, LanceDB, LangChain, Tecton, and Unstructured. Unified governance: Unity Catalog OSS enables unified governance across tabular data, non-tabular data, and AI assets, such as ML models and generative AI tools, letting organizations simplify management, discovery and development at scale. Openness: With its open APIs and Apache 2.0 licensed open source server, Unity Catalog OSS maximizes flexibility and customer choice by enabling broad interoperability across various engines, tools, and platforms. "AT&T is committed to making our data interoperable with our platforms. With the announcement of Unity Catalog's open sourcing, we are encouraged by Databricks' step to make lakehouse governance and metadata management possible through open standards. The flexibility to utilize interoperable tools with our data and AI assets, with consistent governance, is core to the AT&T data platform strategy," said Matt Dugan, VP Data Platforms, AT&T. "Nasdaq is proud to leverage Databricks' Unity Catalog as part of our holistic data management strategy," said Lenny Rosenfeld, Vice President, Capital Access Platforms, Nasdaq. "Databricks' decision to open source Unity Catalog provides a solution that helps eliminate data silos and we look forward to further scaling our platform, enhancing our governance, and modernizing our data applications as we continue to deliver for our clients." "At Rivian, the adoption of the Databricks Data Intelligence Platform has given us the ability to use Data and AI in building our next-gen EAVs. We are excited about Databricks open sourcing Unity Catalog and releasing Open APIs to bring interoperability across our data landscape without any concerns of vendor lock-in. Combined with support for all our data assets — structured and unstructured data, ML models, and Gen AI tools — it was an easy decision to standardize on Unity Catalog," said Jason Shiverick, Director of AI Platforms, Rivian. Supporting Cloud Partner Quotes "AWS welcomes Databricks' move to open source Unity Catalog. AWS is committed to working with the industry on open source solutions that enable choice and interoperability for customers," said Chris Grusz, Managing Director of Technology Partnerships, AWS. "Google is committed to open, flexible solutions that empower customers to maximize the value of their data. Databricks' strategy to open up the Unity Catalog standard for data and AI aligns very well with our strategy," said Ritika Suri, Director, Data and AI Technology Partnerships, Google Cloud. "Microsoft is committed to the open-source community and empowering customers with choice. Databricks has been a strategic partner for years and it's great to see them open-sourcing Unity Catalog. We believe truly open standards with broad industry participation are in customers' best interests. Our collaboration with Databricks continues to elevate Microsoft Azure as the best choice for data and AI workloads," said Jessica Hawk, CVP, Data, AI, Digital Applications, Microsoft. "Salesforce Data Cloud is built from the ground up on Open Standards with Apache Parquet and Apache Iceberg. Our zero copy innovations enable customers to unlock data, derive insights and orchestrate actions across the Customer 360. Databricks' embrace of Apache Iceberg via UniForm and Unity Catalog addresses key interoperability challenges between Delta Lake and Iceberg. We are excited to have Databricks as a member of our Zero Copy Partner Network and look forward to joint innovations with the new open Unity Catalog, delivering compelling customer value in structured data, unstructured data and AI models," said Ravi Loganathan, EVP, Salesforce. Supporting Data and AI Partner Quotes "Confluent's mission is to set data in motion and enable organizations to take advantage of their data everywhere. We're excited to see Databricks make a significant contribution to an open data ecosystem with Unity Catalog becoming open sourced. Tableflow on Confluent Cloud will enable easy delivery of real-time data to places like a data lake by turning data streams into Iceberg tables with a single click. By combining our industry-leading streaming capabilities with Databricks' robust data management solutions, customers will be able to put their data to work more effectively than ever," said Shaun Clowes, Chief Product Officer, Confluent. "Together, Databricks and dbt Cloud help users break down data silos to collaborate effectively, simplify ETL to lower TCO with Delta Lake, and unify governance with Unity Catalog. We are thrilled to announce our support for Unity Catalog OSS and the open APIs. This partnership underscores our commitment to providing a unified data experience, empowering our community to achieve greater insights and drive innovation," said Mark Porter, Chief Technology Officer at dbt Labs. "Delta Kernel has greatly simplified building the DuckDB Delta Extension, enabling easy access to Delta Lake from DuckDB. We are thrilled to partner with Databricks on Delta Kernel and the Unity Catalog open standard for data and AI. This collaboration represents a significant step forward in open source innovation and the development of open data lakehouses," said Hannes Mühleisen, CEO at DuckDB Labs. "At Eventual, we have built Daft, the leading open source distributed query engine for multimodal data. We believe that unifying compute for tabular and unstructured data is not enough and that a multimodal catalog is crucial to build GenAI data lakehouses. We are excited to partner with Databricks and other AI innovators to develop the Unity Catalog open standard for modern data and AI workloads," said Sammy Sidhu, CEO at Eventual. "We are thrilled to see Databricks open source Unity Catalog as an open standard for data and AI. This move will provide our customers with greater choice and flexibility in their data ecosystem, ensuring seamless integration and maximizing interoperability with Fivetran's platform as they ingest critical data to Databricks," said Anjan Kundavaram, Chief Product Officer at FiveTran. "At Granica, we champion data democratization and freedom from vendor lock-in. Our Safe Room technology ensures privacy, trust, and safety in generative AI workflows while supporting open standards like Unity Catalog and Apache Iceberg. Unity Catalog's vendor-neutral architecture and robust governance solutions align with our vision of providing customers with flexibility and control over their data. We are excited to contribute to this open ecosystem, driving innovation and enabling customers to seamlessly work with their data across best-of-breed platforms," said Rahul Ponnala, Co-founder and CEO at Granica. "The exposure of native access patterns within Unity Catalog has transformed how our business is able to streamline access to data and apply governance rules at scale — with no performance impact. Databricks' continued investment in a community to accelerate services to make data controls easier to build allows our customers to govern with greater ease and manage the massive volume of new data consumers being onboarded in the age of AI," said Matthew Carroll, CEO at Immuta. "We are excited to see the opportunity for our joint customers as Databricks open-sources Unity Catalog as an open standard for data and AI. With Unity Catalog OSS and the Informatica intelligent Data Management Cloud, customers can gain greater choice, flexibility and interoperability in their data ecosystems," said Brett Roscoe, GM and SVP Cloud Data Governance and Cloud Operations at Informatica. "Databricks's decision to open source Unity Catalog is an exciting development for the data and AI community. We're excited to partner with Databricks to integrate Unity Catalog with LangChain, which allows our shared users to build advanced agents using Unity Catalog functions as tools," said Harrison Chase, CEO at Langchain. "Enterprise data is essential to developing accurate generative AI applications. NVIDIA works closely with our partner ecosystem to support open-source offerings like Databricks Unity Catalog, which can help customers curate efficient and powerful development pipelines," said Pat Lee, VP of Strategic Enterprise Partnerships at NVIDIA. "Open sourcing Unity Catalog is a pivotal step towards a more collaborative and innovative data ecosystem. By making this technology accessible, Databricks is fostering an environment where the entire community can contribute to and benefit from enhanced data governance and management capabilities. This move aligns with our vision at Onehouse and Apache XTable (Incubating) to support open format interoperability that drives progress and innovation for all," said Vinoth Chandar, Founder and CEO at OneHouse. "Unstructured is the leading unstructured data ETL solution for LLMs - helping organizations transform their data from raw to RAG-ready. Our partnership with Unity Catalog OSS makes perfect sense, as we break down data silos and accelerate AI/ML development in enterprises. We are excited to partner with Databricks to develop this open standard for AI use cases and to standardize metadata for unstructured data – helping our customers operate at the cutting edge of AI," said Brian Raymond, CEO at Unstructured. With today's announcement, Databricks continues to lead the way in data and AI governance, encouraging an ecosystem of interoperable tools, universal support for data and AI assets, and built-in security. Availability Unity Catalog OSS will be available at the Data + AI Summit. About Databricks Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on LinkedIn, X and Facebook. Contact: Press@databricks.com
A12 藝術空間
Customer 360
請先登入後才能發佈新聞。
還不是會員嗎？立即 加入台灣產經新聞網會員 ，使用免費新聞發佈服務。 （服務項目） （投稿規範）
