MongoDB 6.0 Brings Encrypted Queries, Time-Series Data Collection

The developers behind the open source MongoDB, and its commercial service counterpart MongoDB Atlas, have been busy making the document database easier to use for developers. From a report: Available in preview, Queryable Encryption provides the ability to query encrypted data, and with the entire query transaction be encrypted -- an industry first according to MongoDB. This feature will be of interest to organizations with a lot of sensitive data, such as banks, health care institutions and the government. This eliminates the need for developers to be experts in encryption, Davidson said. This end-to-end client-side encryption uses novel encrypted index data structures, the data being searched remains encrypted at all times on the database server, including in memory and in the CPU. The keys never leave the application and the company maintains that the query speed nor overall application performance are impacted by the new feature. MongoDB is also now supporting time series data, which are important for monitoring physical systems, quick-moving financial data, or other temporally-oriented datasets. In MongoDB 6.0, time-series collections can have secondary indexes on measurements, and the database system has been optimized to sort time-based data more quickly. Although there are a number of databases specifically geared towards time-series data specifically, such as InfluxDB, many organizations may not want to stand-up an entire database system for this specific use, a separate system costing more in terms of support and expertise, Davidson argued. Another feature is Cluster-to-Cluster Synchronization, which provides the continuous data synchronization of MongoDB clusters across environments. It works with Atlas, in private cloud, on-premises, or on the edge. This sets the stage for using data in multiple places for testing, analytics, and backup.

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