MongoDB Unveils Vision for Developer Data Platform at MongoDB World 2022

MongoDB Unveils Vision for Developer Data Platform at MongoDB World 2022

MongoDB unveils its vision for the data platform for developers, with a series of groundbreaking new features, at MongoDB’s annual conference, MongoDB World, at the Javits Center in New York.

With these announcements, MongoDB enables development teams to innovate faster by addressing more use cases, supporting more of the data lifecycle, leveraging modern architectures, and by implementing the most sophisticated levels of data encryption, all within a single, integrated developer data platform.

Address a wider range of use cases

MongoDB extends its unique approach to using data beyond operational and transactional use cases to enable search and analytics use cases within a unified platform. These enhancements allow teams to accomplish more while maintaining a consistent experience for developers and reducing the complexity of the data infrastructure needed to support modern applications.

MongoDB announces a number of features that make it easier for developers to build in-app analytics and power richer app experiences. Column storage indexing, which will be available later this year, will allow users to create and maintain a specific index that will significantly speed up many common analytical queries without the need to change the document structure. or move the data to another system. Additionally, analytics nodes can now be scaled separately, allowing teams to independently tune the performance of their operational and analytical queries without over- or under-provisioning.

- MongoDB’s time series collections make it easier, faster, and cheaper to build applications that monitor physical systems, track assets, or process financial data. In the upcoming MongoDB 6.0 release, Time Series Collections will support secondary indexes on measures, and will feature read performance improvements and optimizations to sort temporal data faster.

- Atlas Search is the fastest and easiest way to integrate relevance-based search functionality into apps. Now, with search facets, developers are able to quickly build search experiences that allow end users to more seamlessly browse, narrow, or refine their results along different dimensions.

Support for more of the data lifecycle

MongoDB announces new products and features that enable development teams to better analyze, transform, and move their data into Atlas, while reducing reliance on batch processes and ETL tasks that can create delays, limit productivity, and increase costs.

- Atlas Data Lake will have fully managed storage capabilities that provide the economics of cloud object storage while being optimized for high-performance analytical queries. Atlas Data Lake reformats, creates partition indexes, and partitions data as it is ingested from Atlas databases, creating a high-performance Data Lalke.

- Atlas data federation features allow teams to create virtual databases so they can work with data residing in a range of different sources. Development teams can query, transform, or create views on one or more collections, MongoDB clusters, and storage buckets.

- The Atlas SQL Interface provides an excellent experience for data analysts, who work primarily with SQL tools, to interact with Atlas data in a read-only interface. This makes it easy to natively query and visualize Atlas data with SQL-based tools while preserving the flexibility of the document model. Additionally, you can query data on Atlas clusters and cloud object stores using SQL without having to manipulate data, define schemas, or flatten data.

Optimization for modern application architectures

In addition to supporting a wide range of workloads, enterprises must have the flexibility to deploy the application architectures that meet their needs.

- Atlas Serverless is now generally available and enables users to support a wide range of application requirements with little to no initial configuration and ongoing capacity management. Users benefit from the ability to scale zero and deploy across all three major cloud providers, and tiered pricing automatically lowers the cost of large workloads with no upfront commitment.

- The integration of Vercel will make it easier for teams using Vercel’s platform to develop, preview and ship websites and applications to get started with MongoDB Atlas as their back-end database. With Vercel’s Integrations Marketplace, developers can now deploy new web experiences on Atlas with zero configuration and instantly start building with documents that map directly to their code.

- Cluster-to-Cluster synchronization ensures continuous synchronization of data from MongoDB clusters between environments, whether in Atlas, private cloud, on-premises or at the edge. Cluster-to-Cluster synchronization allows users to easily migrate data to the cloud, create test environments, create dedicated analytics environments, and support data residency requirements.

- Atlas Device Sync connects a fully managed back-end database in Atlas to Realm, the popular mobile database on edge and mobile devices. MongoDB’s new Flexible Sync option grants granular control over synchronized data to user applications, with intuitive language-native queries and hierarchical permissions.

- API is a secure API for accessing Atlas data over HTTPS without any operational overhead. This gives developers a way to easily extend Atlas data into other cloud apps and services or into their serverless architectures.

Implementation of the most sophisticated levels of data encryption

Every organization needs to be able to secure the most sensitive information in any environment without compromising the ability to create rich app experiences that use that data. While existing encryption solutions (in motion and at rest) cover many use cases, none of them protect sensitive data while in use.

Queryable Encryption, available in preview with MongoDB 6.0, features the industry’s first encrypted search schema using groundbreaking cryptographic engineering. This technology gives developers the ability to query encrypted sensitive data in a simple and intuitive way, without impacting performance, and without any experience in cryptography. Data remains encrypted at all times on the database, including in memory and in the CPU; the keys never leave the application and the database server cannot access them. This client-side end-to-end encryption uses new encrypted index data structures so that, for the first time, developers can run expressive queries against fully encrypted confidential workloads. Searchable encryption is based on well-tested and established NIST-standard cryptographic primitives to provide strong protection against database attacks, including insider threats, highly privileged administrators, and security personnel. cloud infrastructure.

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MongoDB Unveils Vision for Developer Data Platform at MongoDB World 2022


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