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Integrating Anaconda's secure repository of Python and R packages with Teradata's powerful ClearScape Analytics is intended to speed delivery and use of data science, generative AI use cases SINGAPORE, April 11, 2024 /PRNewswire/ -- Anaconda Inc. and Teradata today announced a new integration to bring the most popular and widely used Python and R packages to Teradata VantageCloud through the Anaconda Repository. The integration with ClearScape Analytics, a powerful engine for deploying end-to-end artificial intelligence (AI) and machine learning (ML), is designed to provide enterprises with the ability to deploy large-scale data science, AI/ML, and generative AI use cases that can cost-effectively deliver value for the enterprise. Organizations working to leverage AI innovation need a platform that allows for the quick application of popular and secure open-source packages, but that also delivers scale, performance, and access to harmonized data and trusted AI. Anaconda and Teradata believe their partnership meets this critical need by speeding the deployment and operationalization of AI/ML developed using Anaconda's secure repository of open-source Python and R packages. "There is so much innovation happening in the open-source community, and we're thrilled to be working with Anaconda to bring their popular open-source packages to Teradata VantageCloud Lake," said Hillary Ashton, Chief Product Officer at Teradata. "We believe that the 45 million data scientists, data engineers, developers and analytics professionals that use Anaconda will have an even greater impact on their organizations by also using ClearScape Analytics to deploy and operationalize trusted AI/ML at enterprise scale and with the least cost." This integration empowers enterprise users to work with Anaconda, provider of the world's most popular platform for AI/ML and data science, and Teradata, the most complete cloud analytics and data platform for AI, to deliver breakthroughs today and in the future. Users can: Rapidly deploy and operationalize AI/ML developed using open-source Python and R packages. Unlock innovation and the full potential of data at scale with a wide variety of Python and R functionality on VantageCloud Lake. Flexibly use packages and versions of their choice for large-scale data science, AI/ML and generative AI use-cases. Securely work with Python/R models into VantageCloud Lake with no intellectual property (IP) leakage. "As AI becomes further engrained in every business, it has never been more critical to have a secure and trusted platform that mitigates risks from enterprise AI use," said Barry Libert, CEO at Anaconda. "Teradata's investment in data privacy and security aligns well with Anaconda's deep commitment to secure, trusted AI innovation, and allows us to provide a simple, rapid, and innovative open-source solution to increase AI business value." Teradata VantageCloud Lake customers will be able to download Python and R packages from the Anaconda Repository at no additional cost. Python packages are available immediately, and R packages will be released before the end of the year. For more information about Teradata ClearScape Analytics, please visit Teradata.com. Learn more about partnering with Anaconda here. About Anaconda With more than 45 million users, Anaconda is the most popular operating system for AI providing access to the foundational open-source Python packages used in modern AI, data science and machine learning through a seamless platform. We pioneered the use of Python for data science, championed its vibrant community, and continue to steward open-source projects that make tomorrow's innovations possible. Our enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness the power of open-source for competitive advantage, groundbreaking research, and a better world. To learn more visit https://www.anaconda.com. About Teradata At Teradata, we believe that people thrive when empowered with trusted information. We offer the most complete cloud analytics and data platform for AI. By delivering harmonized data and trusted AI/ML, we enable more confident decision-making, unlock faster innovation, and drive the impactful business results organizations need most. See how at Teradata.com.
Together, Databricks and the BladeBridge team will support enterprise migrations to Databricks SQL, which has surpassed a $600 million revenue run rate SAN FRANCISCO, Feb. 5, 2025 /PRNewswire/ -- Databricks, the Data and AI company, today announced that it has welcomed the team behind BladeBridge, a leading provider of AI-powered enterprise data warehouse migration solutions, to Databricks. Together, Databricks and BladeBridge will help organizations streamline the code assessment and conversion process vital to data warehouse migrations to Databricks SQL from Snowflake, Teradata and other sources with a proven, LLM-driven approach. Ultimately, this enhanced migration process will help customers quickly and seamlessly transition to the Databricks Data Intelligence Platform. Organizations are increasingly looking to modernize their siloed, legacy data warehouses to Databricks SQL, Databricks' intelligent data warehouse. This shift allows them to capitalize on Databricks SQL's industry-leading price-performance, efficiency and AI innovations. Powered by AI, Databricks SQL auto-optimizes workloads to improve efficiency and performance and delivers intelligent experiences that help anyone gain insights from their data, with no SQL or technical expertise required. In the past year, Databricks SQL revenue grew more than 150%, surpassing $600 million run rate. BladeBridge + DatabricksBladeBridge has become one of the most advanced and popular automation solutions for migrating from existing data warehouses, including Snowflake, Redshift, and Teradata, to Databricks SQL. Now, organizations migrating to Databricks will gain access to BladeBridge's proven AI-driven solution to automate code analysis and conversion across more than 20 enterprise data warehouses and ETL tools, significantly reducing manual effort and ensuring consistent, high-quality code output. This transaction supports Databricks' strategy to help enterprises quickly achieve data intelligence across their entire data estate. A key technology partner to system integrators like Accenture, Capgemini, Celebal Tech, Ness Digital and Tredence, BladeBridge provides customers with clear insight into the scope of conversion, LLM-powered code refactoring, and easy validation of migrated systems. To date, BladeBridge has successfully supported hundreds of customers in their Databricks SQL migration journeys. "Databricks SQL is the fastest-growing data warehouse on the market. Over ten thousand organizations have chosen Databricks SQL thanks to its price performance and AI innovations. As more and more companies choose Databricks as the foundation for an open, flexible data architecture, we want to make it easier than ever to move from legacy data warehouses to the Data Intelligence Platform," said Ali Ghodsi, Co-founder and CEO of Databricks. "By joining forces with the BladeBridge team, we can help every organization accelerate their move to Databricks with significantly lower migration cost and effort." "At BladeBridge, we set out to solve frustrating challenges for companies looking to modernize their data stack, and today we've helped hundreds of organizations successfully migrate to cloud data platforms," said Simon Eligulashvili, Co-founder and Executive Vice President of BladeBridge. "We are thrilled to join the Databricks team to continue our mission — to help companies reach their data modernization goals — faster and at a far greater scale." "As a trusted data engineering specialist, we understand that meeting customers' aggressive project timelines is a key success metric," said Ranjit Tinaikar, CEO at Ness Digital. "Over the years, we have built a strong partnership with BladeBridge, collaborating on over a hundred enterprise data warehouse migrations. We look forward to deepening this relationship with Databricks as a strategic partner and delivering many more successful projects in the future." This announcement follows Databricks' recent $15 billion financing, which values the data intelligence leader at $62 billion. The company expects to cross $3 billion revenue run rate and be free cash flow positive in the fourth quarter ending January 31, 2025. About DatabricksDatabricks 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 X, LinkedIn and Facebook. Contact: Press@databricks.com
SHANGHAI, CHINA - Media OutReach Newswire - 15 November 2024 - Frost & Sullivan released the Emerging Asia-Pacific Big Data Market Research Report, 2024, in October 2024. The report provides an in-depth analysis of the big data market across key emerging markets in the emerging Asia-Pacific region, including Hong Kong SAR, the Philippines, Indonesia, Malaysia, Singapore, Thailand, Bangladesh and Sri Lanka. The report highlights the critical role of big data in driving digital transformation, especially in the finance, government, and telecom sectors, where real-time data processing and intelligent data lakes are leading the way. Huawei Cloud, along with AWS, Microsoft Azure, Google Cloud, and Alibaba Cloud, is distinguished for pioneering solutions that empower enterprises to harness big data for advanced analytics and operational efficiency. Definition and Constitution of the Big Data Market The report defines the big data market as encompassing the entire ecosystem involved in data collection, storage, computation, analysis, and application. In this ecosystem, businesses are leveraging data platforms that integrate hardware and software technologies to extract actionable insights from vast amounts of data in real-time. As digital economies rise in the Emerging Asia-Pacific region, particularly in sectors such as telecommunications, finance, and internet services, the demand for technologies like data lakes, data warehouses, and intelligent data lakes is growing rapidly. These platforms help enterprises store, process, and analyze large-scale data sets efficiently, thus driving innovation and improving business operations. Surge in Big Data Demand Amid Regional Digital Transformation The Emerging Asia-Pacific region is experiencing a rapid shift towards digital economies, creating widespread demand for big data solutions across multiple industries. The report highlights that industries such as finance, government, internet, and telecommunications are leveraging big data technologies to improve operational efficiency, drive innovation, and enhance customer experiences. Banks and financial institutions in countries like Singapore and Malaysia are using big data analytics to enhance fraud detection, optimize risk management, and personalize customer services. Telecom operators in Indonesia are utilizing data insights for network optimization, customer segmentation, and offering tailored services based on usage patterns. Meanwhile, government initiatives in Malaysia and Thailand are focusing on smart city projects where big data is used for urban planning, traffic management, and public safety. Additionally, large enterprises are increasingly adopting big data to address challenges such as multi-source data integration, real-time analysis, and data security. Fragmented data complicates decision-making, while delays in real-time analysis can hinder production and supply chain efficiency. Moreover, with growing cyber threats, robust data protection is critical to ensuring compliance and safeguarding sensitive information. In the internet sector, big data platforms are enabling companies to provide personalized user experiences by analyzing user behavior in real time. This helps improve user engagement, retention, and overall commercial value. Additionally, big data plays a crucial role in privacy protection and compliance, allowing companies to manage user data securely while adhering to regional data protection regulations, thereby building user trust and enhancing competitiveness. Real-Time Data Processing and Intelligent Data Lakes Lead the Market The report highlights that real-time computing combined with intelligent data lakes is driving major technological developments across the Emerging Asia-Pacific region. These solutions enable businesses to process large-scale, real-time data streams, significantly enhancing their ability to respond to dynamic market conditions and optimize operational efficiency. Industries such as finance, retail, and manufacturing are increasingly adopting real-time data processing to improve decision-making, manage risks, and enhance customer experiences. By integrating real-time computing with intelligent data lakes, companies can dynamically scale data management capabilities and enhance the precision of analytics. This combination offers greater flexibility and cost-efficiency, particularly for complex industries handling large datasets. Additionally, the fusion of edge computing with intelligent data lakes is expected to further accelerate data processing capabilities by enabling distributed computing architectures. This integration allows businesses to reduce latency, optimize resource management, and improve overall operational intelligence, particularly in sectors such as logistics and IoT-driven smart cities. Big Data Vendor Evaluation Criteria The report evaluates big data service providers based on three key criteria: Market Application, Technology Innovation, and Customer Service. Market Application assesses the business coverage and market share of service providers in the Emerging Asia-Pacific region. Special focus is placed on their adaptability and depth of application in key industries such as finance, government, and telecommunications. Providers leading in market share rankings across multiple regions, particularly in markets like Indonesia, Thailand, and the Philippines, are highlighted for their potential to meet diverse industry needs effectively. Technology Innovation examines providers' technical strengths in areas like intelligent data lakes, lakehouse integration, elastic scaling, and AI integration. Providers are evaluated on their leadership in data storage, real-time data processing, fault tolerance, and support for intelligent decision-making. High marks are awarded to vendors demonstrating robust technological innovation. Customer Service evaluates localized support within the emerging Asia-Pacific market, particularly focusing on data security, risk management, and compatibility with various systems and interfaces. The ability to provide tailored solutions that meet the complex data needs of enterprises is a key factor in this evaluation, enhancing customer satisfaction and competitive advantage. Huawei Cloud Leads the Big Data Market Competition in Emerging APAC The report identifies Huawei Cloud, AWS, Microsoft Azure, Google Cloud, and Alibaba Cloud as "Leaders" in the emerging Asia-Pacific big data market. These providers excel in areas like intelligent data lakes, lakehouse integration, and AI-driven analytics, offering cutting-edge technology for advanced data processing and application development. Huawei Cloud stands out in several markets, particularly in Hong Kong SAR, Thailand, and Bangladesh, where it holds a leading market share. In both the telecom and financial industries across the Emerging Asia-Pacific region, Huawei ranks first, thanks to its real-time data analytics and intelligent data lake solutions. These capabilities have been instrumental in driving operational efficiency and enabling data-driven transformations. The flexibility and security offered by Huawei Cloud's solutions help organizations optimize their operations while ensuring compliance with regulatory requirements, making it a preferred choice for enterprises in the region. AWS continues to lead the market in Singapore, particularly in the internet sectors, where its mature cloud ecosystem and extensive support services enable businesses to scale and innovate rapidly. Microsoft Azure has also shown strong performance in the Thailand and Malaysia, supporting enterprises with AI-driven cloud services and intelligent data analytics to accelerate their digital transformation journeys. Meanwhile, Cloudera, Databricks, Snowflake and IBM are positioned as "Challengers" in the market. These companies possess clear advantages in specific regions or industries and actively expand their market share while continuously improving their technology and service levels to meet customer needs. Oracle, Greenplum, and Teradata, recognized as "Specialists," are known for their specialized technical expertise and extensive experience in enterprise-level big data platforms and data warehouses, enabling them to offer customized solutions that meet specific business needs. Overall, vendors like Huawei Cloud, AWS, GCP and Microsoft Azure are driving the growth of the big data market in the Emerging Asia-Pacific region by offering advanced real-time analytics and intelligent data lake solutions. These providers continue to innovate and adapt to the evolving needs of industries, ensuring businesses can leverage big data technologies to enhance efficiency, optimize operations, and remain competitive in a rapidly digitalizing world. For a detailed report, please click: https://www.frostchina.com/content/insight/detail/6721967cfa1179b70e3864b9. Hashtag: #Frost&Sullivanhttp://www.frostchina.comThe issuer is solely responsible for the content of this announcement.
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