MongoDB, the leading cloud data platform, and Iguazio, the platform that brings AI to life, are offering customers an innovative joint solution to make data science and gen AI easier and more efficient for the enterprise. The seamless integration between the two platforms eliminates complexity and inefficiency in managing and storing data and in operationalizing and de-risking ML and gen AI applications. This joint solution unlocks the potential for existing and future data science and gen AI projects, even in multi-cloud and hybrid environments.
Utilizing the combination of MongoDB and Iguazio allows the rapid implementation of data science and gen AI projects while reducing engineering efforts and costs, LLM risks including privacy and ethics and the friction that comes by using standalone solutions.
The integrated solution allows customers to streamline the entire AI or gen AI process end to end, from data processing and storage to developing, deploying and managing Gen AI applications in production while eliminating risks, improving performance and providing governance capabilities.
Seamlessly integrates with:
Benefits of Using Iguazio and MongoDB’s Integrated Solution
- AI / Gen AI Operationalization with minimal engineering: MongoDB and Iguazio provide a single, robust data management system for all flavors of data, with built-in elasticity and scalability. This joint solution enables managing and evolving data from prototype to production to monitoring in a simple and resilient manner without requiring significant engineering efforts.
- Scalability and performance that allow for the handling of large volumes of data and complex data transformations with ease, while maintaining high levels of performance and ensuring reliability and accuracy.
- Security and compliance: Both MongoDB and Iguazio prioritize security and compliance, making them well-suited for regulated industries like finance. Together, we provide clients with robust security features, including encryption, access controls, and compliance monitoring, to ensure that sensitive data remains protected and regulatory requirements are met.
- Hybrid environments: MongoDB and Iguazio are available together on your infrastructure of choice: in the cloud, on-premises or as a hybrid cloud solution. This provides you with the flexibility and customization you need to answer your MLOps/LLMOps and DataOps challenges.
- Unification of data from multiple sources: GenAI applications involve multiple types of data, like geospatial, graphs, tables and vectors. Each data type requires considerations like security, scalability and metadata management. This creates data management complexity. MongoDB and Iguazio unify all data management needs, like logging, auditing and more, in a single solution. This ensures consistency, faster performance and significantly less overhead.
- Diverse use cases and widespread applications: MongoDB’s flexible data model accommodates diverse data types, while Iguazio enables customers to develop and deploy AI models at scale. This allows customers to build diverse applications and derive actionable insights from their data so they can drive innovation across various use cases, including fraud detection, risk management and personalized customer experiences.
Example Use Cases
- Smart Customer Care Agent: Processing and analyzing raw data, processing in a batch pipeline for analyzing customer logs and a stream pipeline for live interactions and storing results.
- Hyper-Personalized Banking Agent: Hyper-personalized responses based on access to customer data, RAG to augment the contextual data during the interaction with the LLM, to personalize the interaction, and to recommend the best course of action, the virtual agent talks to another agent tool with data and guardrails that filter and validate results. Setup is simple: the user only needs to create the agent workflow and connect it to MongoDB Atlas and everything works automatically, out of the box.
