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MongoDB And Teradata Join Forces To Make Big Data Smart
As enterprises increasingly depend on MongoDB to build and run modern applications, they need high-quality analytics solutions to match MongoDB's powerful data model. With the partnership Teradata and MongoDB just announced , they just got one. And it's exceptionally cool. With data analytics leader Teradata we've built a bi-directional connector that gives organizations interactive data processing at extremely fast speeds. Teradata's bi-directional QueryGrid connector allows Teradata customers to integrate massive volumes of JSON with cross-organizational data in the data warehouse for high performance analytics. Through the connector, MongoDB customers will have access to JSON that has been enriched by Teradata to support rapidly evolving applications for mobile, Internet of Things, eCommerce, social media and other applications. In other words, users will soon be able to easily connect MongoDB applications and analytics running on Teradata. The Future Is JSON For the past 40 years, enterprises have stored their data in the tidy-but-rigid tables and joins of relational databases. Given the explosion of unstructured data, however, enterprises need a more expressive, flexible way of describing and storing data. Enter JSON. MongoDB stores data in JSON documents, which we serialize to BSON . JSON provides a rich data model that seamlessly maps to native programming language types, and the dynamic schema makes it easier to evolve one's data model than with a system that enforces schemas like a relational database (RDBMS). Marrying MongoDB's operational database with Teradata's analytics platform a great way to bring together all of an enterprise's data. A Virtuous Cycle One way of thinking about the interaction between MongoDB and Teradata is to picture a crowd of people. MongoDB interacts with individuals within the crowd in real-time while Teradata looks for patterns within the crowd. With this connector, organizations can push their MongoDB data (website clicks, purchases, etc.) into Teradata, which runs queries against the data, looking for patterns. This intelligence is then pushed back to MongoDB, enriching the interaction with individual eCommerce buyers, mobile users, etc. It's a virtuous cycle, as Teradata describes on its blog . Here's what this looks like for an eCommerce application: By bringing the two together, an eCommerce vendor's interactions with its customers will continuously improve as their MongoDB-based application gets smarter and more tailored by Teradata analytics. Importantly, for enterprises that expect to use both relational databases and MongoDB, Teradata's JSON integration unifies relational and MongoDB data analysis. And, Not Or This last point is worth repeating. As much as enterprises might wish to shed their IT investments and start over, the reality is that they can't and won't, as a 2012 Gartner analysis found: By giving organizations an easy way to connect MongoDB's operational data with Teradata's enterprise data warehouse, the two organizations ensure existing and new data sources can coexist. By working closely together, MongoDB and Teradata give enterprises the best of a modern, operational database with a powerful analytics platform.
MongoDB Named as a Leader in The Forrester Wave™: Translytical Data Platforms, Q4 2022
In The Forrester Wave™: Translytical Data Platforms, Q4 2022, translytical data platforms are described by Forrester as being “designed to support transactional, operational, and analytical workloads without sacrificing data integrity, performance, and analytics scale.” Characterized as next-generation data platforms, the Forrester report further notes that “Adoption of these platforms continues to grow strongly to support new and emerging business cases, including real-time integrated insights, scalable microservices, machine learning (ML), streaming analytics, and extreme transaction processing.” To help users understand this emerging technology landscape, Forrester published its previous Translytical Data Platforms Wave back in 2019. Three years on, Forrester has named MongoDB as a Leader in its latest Translytical Data Platforms Wave. We believe MongoDB was named a Leader in this report due to the R&D investments made in further building out capabilities in MongoDB Atlas , our multi-cloud developer data platform. These investments were driven by the demands of the developer communities we work with day-in, day-out. You told us how you struggle to bring together all of the data infrastructure needed to power modern digital experiences – from transactional databases to analytics processing, full-text search, and streaming. This is exactly what our developer data platform offers. It provides an elegant, integrated, and fully-managed data architecture accessed via a unified set of APIs. With MongoDB Atlas, developers are more productive, they ship code faster and improve it more frequently. Translytics and the Rise of Application-Driven Analytics Translytics is part of an important shift that we at MongoDB call application-driven analytics . By building smarter apps and increasing the speed of business insights, application-driven analytics gives you the opportunity to out-innovate your competitors and improve efficiency. To do this you can no longer rely only on copying data out of operational systems into separate analytics stores. Moving data takes time and creates too much separation between application events and actions. Instead, analytics processing has to be “shifted left” to the source of your data – to the applications themselves. This is the shift MongoDB calls application-driven analytics . It’s a shift that impacts both the skills and the technologies developers and analytics teams use every day. This is why understanding the technology landscape is so important. Overall, MongoDB is good for customers that are driving their strategy around developers who are tasked with building analytics into their applications. The Forrester Wave™: Translytical Data Platforms, Q4 2022 Evaluating the top vendors in the Translytic Data Platforms Wave Forrester evaluated 15 of the most significant translytical data platform vendors against 26 criteria. These criteria span current offering and strategy through to market presence. Forrester gave MongoDB the highest possible scores across eleven criteria, including: Number of customers Performance Scalability Dev Tools/API Multi-model Streaming Cloud / On-prem / distributed architecture Commercial model The report cites that “MongoDB ramps up its translytical offering aggressively”, and that “Organizations use MongoDB to support real-time analytics, systems of insight, customer 360, internet of things (IoT), and mobile applications.” Access your complimentary copy of the report here . Customer Momentum Many development teams start out using MongoDB as an operational database for both new cloud-native services as well as modernized legacy apps. More and more of these teams are now improving customer experience and speeding business insight by adopting application-driven analytics. Examples include: Bosch for predictive maintenance using IoT sensor data. Keller Williams for relevance-based property search and sales dashboarding. Iron Mountain for AI-based information discovery and intelligence. Volvo Connect for fleet management. Getting started on your Translytics Journey The MongoDB Atlas developer data platform is engineered to help you make the shift to Translytics and application-driven analytics – leading to smarter apps and increased business visibility. The best way to get started is to sign up for an account on MongoDB Atlas . Then create a free database cluster, load your own data or our sample data sets, and explore what’s possible within the platform. The MongoDB Developer Center hosts an array of resources including tutorials, sample code, videos, and documentation organized by programming language and product. Whether you are a developer or a member of an analytics team, it's never been easier to get started enriching your transactional workloads with analytics!