Simplifying Data Science with Iguazio and MongoDB: Modernization with Machine Learning
December 2, 2020 | Updated: May 6, 2021
For the most innovative, forward-thinking companies, “data” has become synonymous with “big data” — and “big data” has become synonymous with “machine learning and AI.” The amount of data you have is raw knowledge. The ability to connect the dots in a cohesive picture that lets you see major projections, personalizations, security breaches, etc., in real time — that’s wisdom.
Or, as we like to call it, data science.
MongoDB Cloud is the leading cloud data platform for modern applications. Iguazio, initially inspired by the powerful Iguazu Falls in South America, is the leading data science platform built for production and real-time use cases. We’re both disrupting and leading various industries through innovation and highly forethought intelligence. It makes perfect sense for us to work together to create a powerful, data-driven solution.
Iguazio Data Science & MLOps platform optimizes data science for your use cases
Iguazio enables enterprises to develop, deploy, and manage their AI applications, drastically shortening the time required to create real business value with AI. Using Iguazio, organizations can build and run AI models at scale and in real time, deploy them anywhere (multi-cloud, on-prem or edge), and bring to life their most ambitious AI-driven strategies. Enterprises spanning a wide range of verticals use Iguazio to solve the complexities of machine learning operations (MLOps), and accelerate the machine learning workflow by automating the following, end-to-end processes:
- Data collection — ingested from any diverse source, whether structured, unstructured, raw or real-time
- Data preparation — through exploration and manipulation at scale (go big!)
- Continuous model training — through acceleration and automation
- Rapid model and API deployment
- Monitoring and management of AI applications in production
As a serverless, cloud-native data science platform, Iguazio reduces the overhead and complexity of developing, deploying, and monitoring AI models, guarantees consistent and reproducible results, and allows mobilizing, scaling, and duplicating functions to multiple enforcement points.
MongoDB delivers unprecedented flexibility for real-time data science integration
With its scalable, adaptable data processing model, ability to build rich data pipelines, and capacity to scale out while doing both in parallel, MongoDB is a foundational persistence layer for data science. It allows you to use your data intelligently in complex analytics, drawing new conclusions and identifying actions to take. Data science and data analytics go hand-in-hand, fueled by big data.
The MongoDB data platform handles data analytics by:
- Enabling scalability and distributed processing — processing data with a query framework that reduces data movement by knowing where that data is and optimizing in-place computation
- Accelerating insights — delivering real-time insight and actions
- Supporting a full data lifecycle — intelligent data tiering from ingestion to transactions to retirement
- Leveraging a rich ecosystem of tools and machine learning for data science
MongoDB and Iguazio: from research to production in weeks
Iguazio fuses with MongoDB to allow intelligent, complex data compilations that lead to real-world ML/AI results like streaming and analytics, IoT applications, conversational interfaces, and image recognition.
Data science is opening opportunities for businesses in all areas, from financial services to retail, marketing, telco, and IoT, and those opportunities create demands on data that continue to grow. Iguazio swiftly reduces the development and deployment of data science projects from months to weeks, transforming how businesses, developers, and product owners use and imagine new use cases for their data.
Together, MongoDB and Iguazio establish a joint hybrid/multi-cloud data science platform.