MongoDB 3.4 also adds more of the advanced tooling and security expected by DBAs and Operations teams:
Zones allow database administrators to associate partitions of data to specific hardware resources and locations, such as tiered storage to optimize costs or local data centers to meet data sovereignty mandates. Zones, the industry’s first fully elastic database partitioning capability designed for multi-region deployments.MongoDB 3.4 introduces a number of capabilities that simplify these deployments and increase flexibility: To meet the demands of global operations, organizations deploy applications across multiple data centers to ensure a seamless experience and “always on” availability. The MongoDB Connector for Apache Spark has also been updated to support the latest Spark 2.0 release, enabling data engineers to apply the latest innovations to sophisticated analytics pipelines. Industry-standard SQL empowers business analysts, data scientists and executives to quickly explore and gain new insights from modern applications using traditional BI tools installed across the enterprise. “We are continuing to add new capabilities to our query language – like graph and faceted search operators – so developers can use MongoDB for applications that previously required multiple technologies, thereby consolidating their technology footprint."Īdditionally, an all-new SQL interface is available that dramatically improves performance, simplifies setup and adds support for Windows. “Developers want to access and store their data in the simplest way possible,” said Eliot Horowitz, CTO and co-founder at MongoDB. Organizations can now deliver more powerful data access to their users, with a more simplified and secure deployment. Because these features are native to the database, they are fully integrated with MongoDB’s existing security, management, availability and disaster recovery features. MongoDB 3.4 introduces native graph analytics and faceted navigation, powerful paradigms for an increasingly popular range of use cases such as e-commerce, social graph analysis and cybersecurity. Multi-Model Functionality Powers Deeper Analytics “This new release redefines what it means to be the state-of-the-art database technology, and enables innovators to build and run more mission-critical workloads on MongoDB.”
Organizations that know how to leverage next-generation software and data technologies to transform their businesses have an intrinsic competitive advantage,” said Dev Ittycheria, president and CEO, MongoDB. “Leaders of nearly every business are under enormous pressure to disrupt, or be disrupted, by the advent of the digital enterprise. By further strengthening the product’s always-on operational and real-time analytics capabilities, MongoDB makes it easier for enterprises to consolidate their technology footprint and accelerate their digital transformation with a single database.
Organizations today are focused on delivering new classes of applications, like the Internet of Things (IoT) and Artificial Intelligence, which have deep operational and analytical requirements. The latest version is a major advance that places MongoDB at the center of enterprises’ digital transformation initiatives. #MongoDB 3.4 announced - accelerates digital transformation for the modern enterprise