DataStax announced the general availability of Astra serverless, an open, multi-cloud serverless database-as-a-service (DBaaS). DataStax’s Astra will deliver pay-as-you-go data together with multi-cloud and open source. DataStax Astra builds upon the Apache Cassandra open source database and introduces a modern, microservices-based architecture that separates compute from storage, enabling database resources to scale up and down on demand to match application requirements and traffic independent of compute resources.
While serverless compute has been around for a while, serverless data has lagged due to the technical challenges around separating compute and storage. Scaling a database typically requires the addition of more server nodes in order to handle more demand or to store more data, which, in turn, requires that the entire data set is “rebalanced” across the nodes to keep the ratio of storage and computing capability equal. With the introduction of Astra serverless, developers will only pay for what they use, no matter how many database clusters they create and deploy. This flexibility brings faster application development and streamlined operations by letting developers and IT create as many databases as they need for development, testing, staging, or any other purpose.
MongoDB, Inc. and Google Cloud announced an expanded five-year partnership that will extend their existing go-to-market relationship and provide a deeper integration of Google Cloud products with MongoDB’s global cloud database, MongoDB Atlas. As a fully-managed service directly integrated with the Google Cloud Console and Marketplace, MongoDB Atlas gives joint customers integrated billing and support. Customers get a single bill for all Google Cloud services as well as MongoDB Atlas, and can use their Google Cloud spending commitments toward Atlas. The service is now available as a “pay as you go” offering on the Google Cloud Marketplace.
With this expanded partnership, MongoDB is enabling developers to integrate Atlas with Google Cloud products, including Pub/Sub, BigQuery, Dataproc, Dataflow, Cloud Run, App Engine, Cloud Functions, Google Kubernetes Engine (GKE), and Tensorflow. Additionally, Google Cloud’s mainframe modernization solutions now support MongoDB Atlas and help customers convert legacy COBOL code on mainframes into modern Java-based applications built on MongoDB. Together, G4 and MongoDB Atlas accelerate the modernization and migration process for organizations moving their business-critical workloads to the cloud.