MongoDB Accelerates Cloud Shift
MongoDB rolled out new versions of services and features this week designed to help migrate databases to the cloud, including a new data lake and search features.
MongoDB also is among seven new cloud data partners working with Google as the public cloud vendor (NASDAQ: GOOGL) expands collaboration on open-source approaches to data management and analytics.
Google this week disclosed a list of customers using MongoDB’s Atlas data platforms on its public cloud for data management tasks.
Collaboration with data managers was announced in April. Along with New York-based MongoDB, Google partners include: Apache Kafka builder Confluent; Apache Cassandra pioneer DataStax; Elasticsearch specialist Elastic; time-series platform vendor InfluxData; graph database vendor Neo4j; and Redis Labs, the in-memory database provider.
On Tuesday (June 18), MongoDB unveiled the beta versions of its Atlas data lake and a full-text search feature designed to help manage its flagship database without additional infrastructure. The company (NASDAQ: MDB) also announced general availability of its Charts feature for creating graphs as well as building and sharing dashboards. The new data lake is based on MongoDB’s query language (MQL) while the search feature is aimed at filtering data. The full-text search eliminates the need to pair a database with an external search engine.
Charts is generally available to both Atlas and on-premise customers. The company promotes the tools as an easy way create real-time visualizations of data.
The serverless Atlas data lake provides access to existing Amazon Web Services’ S3 storage buckets via a MongoDB Atlas console. Queries can then be run using MQL.
Atlas Data Lake will be available soon on Google Cloud Storage and Microsoft Azure Storage, MongoDB said.
Meanwhile, Google’s partnerships with open-source vendors reflects the booming market for database management systems that host a growing percentage of enterprise analytics and other applications. The partnerships would combine emerging open-source database technologies with cloud-native application development, Google noted.
Among the capabilities delivered under the cloud database partnerships are managed cloud services with better performance and reduced latency between those services and cloud-native apps, the cloud vendor added.