Latest news with #Postgres-based
Yahoo
2 days ago
- Business
- Yahoo
Databricks CEO says fresh $1B will help him attack a new AI database market
Databricks is in the process of closing a fresh round at a $100 billion valuation, sources confirmed to TechCrunch. The round was originally reported by the Wall Street Journal. A source familiar with the deal tells TechCrunch exclusively the new round is about $1 billion, and was wildly oversubscribed. Databricks, best known for its data analytics products, refrained from selling even more equity because it didn't need cash for operations after its once record-breaking $10 billion raise at a $62B valuation in January, according to the source. (OpenAI has since squashed the record with a $40 billion raise in March.) The round was co-led by both Thrive and one of Databrick's early investors, Insight Partners, TechCrunch has learned. These two firms led the last round, as well. The company has now raised about $20 billion since it was founded in 2013. This was a primary round, meaning it didn't include employees selling their shares. However, sources close to the company say Databricks has already had two secondary rounds for employees in 2025. Those offers allowed employees to sell up to 40%, 50%, or up to 60% of their shares, depending on the size of their holdings. In both cases, the source said, the full funds available for the secondary round were not maxed out, meaning employees held onto more shares than they could have sold. While Databricks clearly isn't in a hurry to IPO, employees have had two recent chances to cash out shares. This new round, however, was raised to pursue two specific projects — a database for AI agents and its AI agent platform — Databricks co-founder and CEO Ali Ghodsi told TechCrunch in an interview. The company will invest heavily in its database for AI agents, making it generally available to all customers. It launched the product, known as Lakebase, in June at its annual tech conference. Lakebase, which is based on the open source database Postres, is enterprise-grade and supports corporate developers' vibe coding projects. This makes it a competitor to Supabase. 'The database market is $105 billion of TAM, of revenue, sitting there, kind of unaffected in the last 40 years,' Ghodsi told TechCrunch, giving a subtle nod to how database giant Oracle has had a lock on the market for decades. TAM refers to the total addressable market. 'Here's the interesting statistic nobody's paying attention to: a year ago, we saw in the data that 30% of the databases were not created by humans. For the first time, they were created by AI agents. And this year, the statistic is 80%,' he said, adding that he predicts this stat to increase to 99% of new databases within a year. 'There's a new user. The user is not human. It's an AI agent, and if we just double down on making that user persona successful, that's the wedge to disrupt that TAM,' he said. As for how Lakebase will differentiate from Supabase and others already building Postgres-based databases for agents, Ghodsi said the key is 'separated compute and storage.' By untying the pricey compute from the lower-cost storage, Databricks can affordably let users create many databases. 'Because these agents are super fast. They just spin up lots of databases, much faster than humans can, but you don't want to go bankrupt because you're doing that,' he explained. The second project Databricks will be investing heavily in is AI agent platform Agent Bricks, also launched in June. 'Everybody's super focused on super intelligence,' Ghodsi said. 'But that's not what we need in organizations.' Rather than artificial general math geniuses or cancer-curing scientists, what companies need are agents that can reliably handle, unaided, mundane tasks like onboarding employees or answering personalized questions about HR benefits. 'I think that's a much bigger opportunity, actually, for the worldwide GDP and for organizations,' he said. He believes that such focus will give Agent Bricks a competitive advantage. He also raised the extra cash so Databricks can get into the AI poaching wars. 'As you know, it's pretty expensive to hire AI talent right now,' he smiled.
Business Upturn
17-06-2025
- Business
- Business Upturn
EDB Postgres® AI Accelerates New Era of Sovereign Data and AI for Enterprises, Industries, and Nations
By Business Wire India Published on June 17, 2025, 16:47 IST Singapore: The first secure Postgres platform that unifies transactional, analytical, and AI—democratizing agentic AI across hybrid environments through an easy-to-use interface The first secure Postgres platform that unifies transactional, analytical, and AI—democratizing agentic AI across hybrid environments through an easy-to-use interfaceEDB introduces new capabilities to the industry's first Postgres-based data and AI platform, allowing enterprises to easily manage, observe, and democratize the use of agentic AI within a sovereign setting. Only 13% of enterprises globally have successfully deployed a broad set of agentic AI applications at scale, according to EDB research (May 2025). These early leaders are seeing dramatically better returns—up to 227% higher ROI than the remaining 87%, and 23% better ROI than the next-best group—so this launch is essential for businesses who want to come out on top in the AI race. EDB Postgres AI transforms core operational data into an AI-ready asset, with just five lines of code to set up an AI pipeline that automatically syncs embeddings with source data, taking AI from concept to production 3x faster while cutting costs by 50%. EnterpriseDB (EDB), the leading Postgres data and AI company, today announced new innovations to the EDB Postgres AI (EDB PG AI) platform designed to help enterprises deploy and scale AI securely and compliantly across their Postgres environments, whether in clouds or on-premises. The platform streamlines operations at scale, integrates easily with existing data ecosystems, and centralizes hybrid management and observability in a single AI-ready control plane for the emerging era of agentic AI. See the demonstrations and configure your sovereign AI and platform at EDB PG AI is a unified platform with an easy-to-use interface for managing transactional, analytical, and AI workloads. As the industry's first Postgres-based sovereign data and AI platform, it unifies relational and non-relational data in a single system, featuring automatic pipelines and built-in development tools that seamlessly automate and operationalize data for AI. 'In this AI-first, sovereign-first world, C-suite executives in every geo point to a single, urgent need: a secure, open source, sovereign data and AI platform that gives them full control over how and where they build their AI future. True data and AI sovereignty means we are giving enterprises the freedom to choose—hybrid, with unique engineered systems, software, and cloud offerings—while also ensuring that they have the security and control they need,' said Kevin Dallas, CEO, EDB. Only 13% of enterprises globally have successfully deployed a broad set of agentic AI applications at scale, according to EDB research (May 2025). These early leaders are seeing dramatically better returns—up to 227% higher ROI than the remaining 87% and 23% better ROI than the next-best group. 'Globally, customers are increasingly turning to tested, optimized, and scalable architecture to more effectively implement open source AI at the enterprise level. To help meet this need, Red Hat collaborates through a robust partner ecosystem, including EDB, to help empower organizations with the solutions, services, and support they need to drive successful business outcomes with AI. Using EDB Postgres AI with Red Hat OpenShift AI, organizations can benefit from a more consistent platform for sovereign control of a company's data and its own AI models,' said Stefanie Chiras, senior vice president, Partner Ecosystem Success, Red Hat. The EDB PG AI platform introduces two new core capabilities that enable secure, scalable, and hybrid-ready agentic AI, bringing production-grade performance mainstream for enterprises across their Postgres estates: Low-code/no-code simplicity: AI pipeline creation in days, not months Developers and business users can easily build intelligent applications using a simple point-and-click interface and low-code software development kit (SDK)—transforming GenAI projects from concept to production in days instead of months within a pre-integrated platform. In just five lines of code, users can set up an AI pipeline that automatically syncs embeddings with source data, ensuring an always-up-to-date AI knowledge base without costly infrastructure maintenance. NVIDIA accelerated computing delivers the processing performance required for this new compute paradigm, while NVIDIA NIM microservices enable enterprises to run AI models locally and protect their data with sovereign AI. EDB Postgres AI integrates NVIDIA NeMo Retriever extraction, embedding and re-ranking microservices to ingest and process multimodal enterprise data, along with a catalog of NIM microservices to facilitate AI model extension. Together, these capabilities help enterprises operationalize their AI—securely, at scale, and on their infrastructure of choice. Sovereign hybrid Postgres data estate management and observability Hybrid management delivers comprehensive visibility across the entire Postgres estate, empowering developers and operators with real-time insights across hundreds of databases through an intuitive interface. With 200+ built-in metrics and intelligent recommendations, teams can identify and resolve issues 5x faster, boost application performance by up to 8x, and optimize infrastructure—no DBA expertise required. Anyone can optimize performance and manage large estates with ease, boosting productivity by up to 30% while cutting TCO up to 6x compared to legacy systems. 'The EDB Postgres AI engineered solution leverages several of Supermicro's strengths, including our portfolio of data center building block systems, experience in developing and delivering rack-scale AI solutions, and our experience in supporting OEM customers like EnterpriseDB,' said Cenly Chen, chief growth officer, senior vice president, and managing director, Supermicro B.V. 'This unified solution offers full hybrid capabilities and helps customers build sovereign, scalable, and compliant data and AI systems, giving enterprises the control and near-instant access to data needed for Gen AI.' Explore the comprehensive library of benchmarks here. Additional platform enhancements include: Data security at all layers with Transparent Data Encryption (TDE), supply chain security, and hardened container images from Iron Bank. Advanced security features include role-based access control with fine-grained permissions down to row level, robust audit logging for real-time threat detection, and data redaction to limit sensitive information exposure—ensuring compliance with evolving regulations including PCI DSS and SOC 2. with Transparent Data Encryption (TDE), supply chain security, and hardened container images from Iron Bank. Advanced security features include role-based access control with fine-grained permissions down to row level, robust audit logging for real-time threat detection, and data redaction to limit sensitive information exposure—ensuring compliance with evolving regulations including PCI DSS and SOC 2. Purpose-built PG AI Analytics Engine scales independently from storage and is optimized for columnar formats such as Iceberg and Delta tables, driving high performance queries across Postgres and the lakehouse ecosystem. Enterprises can unlock insights 30x faster than standard Postgres by using fresh operational data, breaking down silos, and eliminating ETL pipelines. Intelligent tiering offloads cold transactional data to storage that is up to 18x more cost efficient . scales independently from storage and is optimized for columnar formats such as Iceberg and Delta tables, driving high performance queries across Postgres and the lakehouse ecosystem. Enterprises can unlock insights by using fresh operational data, breaking down silos, and eliminating ETL pipelines. Intelligent tiering offloads cold transactional data to storage that is up to . A universal, secure data store supports all types of data models—SQL, vector, JSON, time-series, key-value, and more—for building applications with structured, semi-structured, and unstructured data types. Tiered storage and a query engine unify Postgres with scalable analytics tables in object storage. EDB PG AI delivers optimized read/write performance that scales seamlessly from high-concurrency transactions to complex analytical and vector queries, all within a hybrid, sovereign architecture. Proven performance advantages include: 6x better TCO and 30% faster transactional performance than SQL Server Up to 150x faster NoSQL performance vs. MongoDB Up to 4x faster NoSQL performance vs. MySQL supports all types of data models—SQL, vector, JSON, time-series, key-value, and more—for building applications with structured, semi-structured, and unstructured data types. Tiered storage and a query engine unify Postgres with scalable analytics tables in object storage. EDB PG AI delivers optimized read/write performance that scales seamlessly from high-concurrency transactions to complex analytical and vector queries, all within a hybrid, sovereign architecture. Proven performance advantages include: 'McKnight Consulting Group compared the integrated EDB Postgres AI platform against a usual DIY approach using AWS. Across all the eight critical components of an enterprise AI factory, EDB Postgres AI reduced overall complexity by 67%, delivered a 3x faster design-to-delivery capability (from seven months to nine weeks), and a 38% reduction in maintenance complexity and costs,' said William McKnight, president, McKnight Consulting Group. EDB PG AI represents a turning point for enterprises seeking to harness the full power of their data in the agentic AI era. To witness how your enterprise can accelerate AI initiatives with confidence while maintaining complete control of data assets, configure your own sovereign and AI platform at About EDB EDB Postgres® AI (EDB PG AI) is the first open, enterprise-grade sovereign data and AI platform—secure, compliant, and scalable, on-premises and across clouds. Built on Postgres, the world's leading database, EDB PG AI unifies transactional, analytical, and AI workloads, enabling organizations to operationalize their data and LLMs while maintaining control over sovereign environments. EDB PG AI is supported by a global partner network and delivers up to 99.999% availability as well as hybrid management and a built-in AI factory. As one of the most active contributors to the PostgreSQL project, EDB is deeply invested in the vitality of the global community. To learn more, visit EnterpriseDB and EDB are registered trademarks of EnterpriseDB Corporation. Postgres and PostgreSQL are registered trademarks of the PostgreSQL Community Association of Canada and used with their permission. All other trademarks are owned by their respective owners. View source version on Disclaimer: The above press release comes to you under an arrangement with Business Wire. Business Upturn takes no editorial responsibility for the same. 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