Latest news with #OLAP
Malaysian Reserve
3 days ago
- Business
- Malaysian Reserve
Ba0Ba0 and OceanBase Forge Partnership to Expand Intelligent Automation Through Combined AI and Database Expertise
SINGAPORE, Aug. 14, 2025 /PRNewswire/ — Ba0Ba0, a Singapore-based AI company with a zero token, zero licensing cost model and a local LLM CPU-first architecture, today announced a strategic partnership with OceanBase to co-develop and expand AI automation solutions across Singapore and other ASEAN markets. The partnership will merge Ba0Ba0's affordable, locally deployable AI capabilities with OceanBase's industry-leading database technology, enabling enterprises across banking, healthcare, retail, and other sectors to accelerate digital transformation with unmatched efficiency and cost control. Through this partnership, Ba0Ba0 will integrate OceanBase's AI-ready, multi-cloud distributed database capabilities into its AI automation solutions, delivering higher efficiency, reliability, and scalability for enterprise backends. This integration ensures secure, high-performance deployments while eliminating the usage-based fees and licensing costs that have historically limited AI adoption in many industries. OceanBase's built-in vector capabilities enable AI development directly within SQL, simplifying the AI stack and allowing seamless hybrid searches across structured, semi-structured, and unstructured data — all while integrating OLTP, OLAP, and AI workloads in a single database. These innovations unlock modernized AI applications such as intelligent recommendations, AI-powered conversational systems through Retrieval-Augmented Generation (RAG), and enterprise-level AI agents. OceanBase's advanced AI database capabilities have been leveraged by customers across diverse scenarios, including a hotel image retrieval and display system developed by Group, and Lalamove's advanced solutions such as a loss-prevention code recognition system and an AI assistant for data warehouse inquiry. 'Our mission has always been to make AI affordable, accessible, and impactful for every industry, regardless of size or budget,' said Jesslyn Wong, Founder of Ba0Ba0 AI. 'By partnering with OceanBase, we are combining leading-edge AI automation with world-class database technology to empower businesses across banking, healthcare, retail, and beyond. This December, we are taking our vision beyond Earth — with the Ba0Ba0 AI LLM set to be deployed aboard a space cubesat satellite as part of the Tristar mission in collaboration with the Russian space agency — marking a milestone in making AI truly universal.' Hong-Chia How, General Manager of the APAC market at OceanBase. remarked, 'The emergence of the new AI era, accompanied by exponential growth in data warehouses, presents unprecedented opportunities alongside significant challenges in data storage, management, and analysis. OceanBase is evolving from an integrated database into a comprehensive, AI-ready data platform, with AI as a core strategic pillar of our future. By strengthening our Data x AI capabilities, we aim to unlock real-world impact from the latest AI innovations. 'We are excited to join hands with Ba0Ba0, bringing our AI database expertise to accelerate AI transformation across Southeast Asia. We invite organizations exploring AI use cases , as well as SaaS providers seeking to transform their applications, to partner with us on this journey.' added How. Ba0Ba0 stems from charity roots and remains privately owned for the benefit of the masses, focusing on delivering enterprise-grade AI automation without hidden costs. Its CPU-first, locally deployable large language model ensures data sovereignty, scalability, and zero token/zero licensing cost, enabling organizations to adopt AI without financial or operational lock-in. Operating in over 170 availability zones across more than 50 geographic regions on major global cloud platforms, including Amazon Web Services, Google Cloud, Alibaba Cloud, and Tencent Cloud, OceanBase has successfully assisted over 2,000 customers worldwide in upgrading their database systems. About Ba0Ba0 Ba0Ba0 is a Singapore-based AI company dedicated to making advanced AI automation accessible to all. Built on charity-inspired values, Ba0Ba0 remains privately owned to safeguard its mission of serving the public good. Its flagship technology features a zero token, zero licensing cost model and a local LLM CPU-first architecture, enabling secure, scalable, and cost-efficient AI deployments without reliance on expensive cloud GPU infrastructure. Ba0Ba0 empowers industries including banking, healthcare, and retail to harness AI automation while retaining full control of their data and costs. About OceanBase OceanBase is a distributed database launched in 2010. It provides strong data consistency, high availability, high performance, cost efficiency, elastic scalability, and compatibility with mainstream relational databases. It handles transactional, analytical, and AI workloads through a unified data engine, enabling mission-critical applications and real-time analytics. To learn more, please visit: Media Contacts Ba0Ba0 AIMedia RelationsEmail: press@
International Business Times
23-06-2025
- Business
- International Business Times
From Cost Control to Intelligent Scaling: How Haribabu Is Redefining Database Modernization for the Cloud-Native Era
In the cloud-native era, data is both a strategic asset and a budgetary minefield. Enterprises are under pressure to modernize their database infrastructures but the path is riddled with technical complexity, platform fragmentation, and runaway costs. Enter Haribabu, a veteran architect and thought leader in cloud infrastructure optimization. With over 15 years of experience in database modernization and AI-enabled performance engineering, Haribabu is now leading a new frontier one that reimagined data platforms not just for performance, but for resilience, intelligence, and cost efficiency. His research, recently featured in multiple international journals including IJIRSET and QITP-IJCC, details a transformative methodology that fuses AI-based workload profiling, platform-agnostic orchestration, and zero-disruption optimization pipelines. The result? A modular, intelligent data modernization strategy that delivers predictable ROI while eliminating technical debt. "We have to stop thinking of cloud databases as static endpoints," Haribabu says. "They are dynamic, evolving systems and need to be managed with intelligence, not intuition." The Evolution of Enterprise Databases: Beyond Lift-and-Shift Many organizations have approached cloud database migration with a "lift-and-shift" mindset replicating legacy architecture in the cloud with minimal changes. The result: soaring bills, poor utilization, and brittle systems. Haribabu's framework breaks this pattern. He advocates for usage-aware replatforming where databases are re-architected based on actual workload signatures and operational goals. His AI model analyzes parameters such as: Query concurrency and response times Storage I/O profiles over time Memory access patterns during peak loads Read-write ratios and data gravity zones This intelligence is then used to recommend ideal database engines and instance types whether it's shifting from monolithic SQL to distributed NewSQL, or decoupling cold storage from OLAP compute nodes. His clients have reported: 33% reduction in post-migration incidents 45% acceleration in ETL jobs through tiered compute models 60% faster access to business-critical dashboards Haribabu's approach ensures that modernization is data-driven, context-aware, and purpose-built not merely a technology refresh. The Middleware Revolution: Intelligent Interconnectivity Without Lock-In Another hallmark of Haribabu's architecture is its middleware-first design. Instead of forcing teams to choose between cloud providers or database vendors, his solution layers intelligent abstraction above the infrastructure stack. This middleware: Supports hybrid deployments across AWS, Azure, GCP, and on-prem Enables cross-database orchestration (e.g., moving data between PostgreSQL and Cosmos DB) Implements policy-aware data routing and query redirection Integrates with CI/CD pipelines for schema-as-code delivery With built-in connectors for ETL, analytics, and Observability platforms like Power BI, Looker, and Grafana, Haribabu's platform simplifies governance across disparate data stores without locking customers into a single ecosystem. Intelligent Cost Observability: From Budget Oversight to Operational Forecasting Cloud database costs are often treated as a line item audited after the fact. Haribabu's system flips this paradigm by embedding cost Observability into the operational loop. Using AI-powered forecast models, his platform can: Predict cost overruns based on query usage trends Trigger alerts for idle resources and replication inefficiencies Simulate the impact of schema or index changes on billing This predictive FinOps layer gives DevOps teams and CFOs a shared visibility window bridging the gap between technical tuning and financial accountability. In one case study, a telecom client reduced their Aurora DB costs by 51% while maintaining 99.99% availability, simply by adopting Haribabu's intelligent recommendations. Democratizing Optimization: Built for Startups, Proven by Enterprises While Haribabu's innovations are deployed by Fortune 500 companies and global banks, his commitment goes beyond the enterprise. He is a passionate advocate for making intelligent optimization accessible to startups, academic institutions, and regional players. By leveraging open-source telemetry agents, lightweight automation scripts, and modular design templates, his architecture scales down as effectively as it scales up. "You don't need a massive budget to run an efficient cloud," Haribabu insists. "You just need visibility, automation, and the right architecture." About the Author Hari Babu Dama is a dynamic data infrastructure specialist with over 10 years of deep technical experience in enterprise database administration and cloud modernization. With a core focus on performance engineering and cost optimization, he has architected and implemented mission-critical solutions across Oracle, MySQL, PostgreSQL, and NoSQL platforms in diverse environments, including hybrid and multi-cloud ecosystems. Currently serving as an Application Architect at Randstad Digital LLC, Hari Babu drives cloud-native transformations that balance scalability, security, and efficiency. His background includes delivering high-availability systems and disaster recovery frameworks for leading financial institutions. While also contributing to automation and Observability solutions using modern DevOps tools like Ansible, Azure DevOps, and Prometheus. An accomplished technologist and thought leader, Hari Babu holds a Master's degree in Business Analytics from The University of Texas at Dallas.
