Presented by MongoDB
App developers are entering a thrilling era thanks to democratizing innovations like generative AI and AI-powered coding assistance, which promise a surge in new applications. IDC even predicts that over 750 million cloud-native applications will be created by 2025. However, many organizations struggle to consistently roll out competitive new products and services.
Organizations face relentless pressure to innovate and stand out, especially with the potential disruptions or benefits generative AI could bring to business. Yet, the rising cost of capital means achieving this with fewer resources, more efficiency, and lower costs is a tall order. This tension between leveraging AI and maintaining cost efficiency is a critical focus.
On top of that, there’s a shortage of developers. Therefore, it’s essential for these talented individuals to address core business challenges instead of getting bogged down by the complexities of traditional relational databases. Keeping developers at the forefront is vital for competitiveness, both for organizations and their partners.
To support developers, MongoDB is committed to providing delightful technology solutions that address their needs while also enabling scalable and secure applications.
VentureBeat spoke with Sahir Azam, MongoDB’s Chief Product Officer, about how organizations are modernizing their tech stacks. The conversation covered how AI is transforming development processes, improving user experiences, and addressing tech sprawl.
Speeding Up with Generative AI
Today, advances in AI, particularly generative AI, are making waves. Developers and organizations are eager to adopt new AI-powered productivity tools, such as chatbots for coding questions and code generation assistants like Amazon CodeWhisperer and GitHub Copilot. MongoDB has integrated AI into its developer tools, making it easier for developers to write MongoDB code and queries. They’ve also partnered with major hyperscalers to optimize large language model (LLM) training using MongoDB’s internal resources.
The AI boom is also giving rise to tools for various AI use cases. Developers using public APIs like OpenAI and Azure AI need tools to customize results with proprietary data, leading to the development of Retrieval-Augmentation Generation (RAG). Vector databases have also emerged for companies creating and training their own models, enhancing capabilities like power search and recommendations.
Introducing a new technology partner also brings the challenge of ensuring security, stability, and performance, which adds pressure on IT leaders and increases tech sprawl. To address this, MongoDB has enabled vector database capability out of the box. For instance, Atlas Vector Search allows developers to build AI-powered experiences, accessing required data through a unified developer experience on the MongoDB Atlas platform.
MongoDB has further advanced AI capabilities with new LLM functions in MongoDB Compass, aiding developers in writing queries faster and more accurately. They’ve also integrated generative AI into Atlas Charts, enabling developers to use natural language to automatically generate queries for building dashboards.
Additionally, MongoDB’s AI-integrated Relational Migrator tool helps modernize legacy systems by analyzing old databases and creating new data schema and code for migration to MongoDB Atlas, all without downtime.
Consolidating Costs and Reducing Tech Sprawl
Post-digital transformation, companies are reassessing vendor relationships, realizing that multiple overlapping agreements are leading to wasted time on maintenance. Now, organizations are looking to streamline costs with fewer vendors offering broader capabilities.
MongoDB’s strategy focuses on simplifying application development by providing a single interface, one language, and one environment, reducing sprawl and enhancing productivity. This approach enables organizations to save money and allows developers to be more efficient, giving them the flexibility to build various applications across multiple clouds or even in their own data centers.
Transforming End-User Experiences
Organizations aim to be recognized for their customer experiences, increasingly driven by software. MongoDB simplifies the process of turning an idea into a scalable application that can serve millions. The platform supports multi-cloud environments, enabling developers to build applications in customer data centers or across public cloud platforms simultaneously as needed.
MongoDB combines these complex tasks into a single developer data platform, covering all aspects of the application and database stack. This holistic approach ensures that organizations choose a technology that developers love, aids in talent recruitment, and scales with the organization over time.
Looking to empower your developers with the right tools, technology, and support? Start here.