Sharded clusters are easier to create and develop for thanks to shard key analysis commands and the ability to store application data on sharding configuration servers. Developers will no longer experience unexpected errors in change streams with large documents. Updates to the Query API introduce bitwise operators, percentile operators, and user role variables in the Aggregation Framework as well as ad-hoc updates and deletes for time series collections. Balancer chunk auto-merge ensures linear growth in the number of chunks is not required when scaling a sharded cluster. Sharded clusters have faster chunk migrations with a new high throughput parameter. Performance improvements include an advanced query execution strategy becoming the default for find() and prefix of aggregate() queries. Security is reinforced with the general availability of Queryable Encryption which provides customers the ability to encrypt sensitive workloads throughtout its lifecycle while additionally are able to query the encrypted data as well Migration operations are streamlined with updates to Cluster-to-Cluster Sync (mongosync), providing flexibility for syncing between clusters with unlike topologies, enabling specific subsets of databases and collections to be synced and oplog buffering to keep the source & destination clusters in sync. MongoDB 7.0 introduces major improvements across four key areas: Migrations, security, performance and developer experience.
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