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Azure data studio postgresql
Azure data studio postgresql






Vector Search in Azure Cosmos DB for MongoDB vCore was announced today, allowing customers to seamlessly integrate AI-based applications, including those built on Azure OpenAI, with their data stored in Azure Cosmos DB. Power intelligent applications with vector search We’ll walk through the latest capabilities and news from Azure Cosmos DB.

Azure data studio postgresql how to#

To learn more about these features, check out our breakout session on how to “Build scalable cloud-native apps with Kubernetes and Azure Cosmos DB,” on Wednesday May 24 th, 1:30 PM PT/4:30 PM ET. Materialized Views can easily create and maintain data between two containers, allowing both to work efficiently, optimizing costs and saving time. With Materialized views for Azure Cosmos DB for NoSQL, in preview, users can create and maintain secondary views of their data in containers that are used to serve queries that would be too expensive to serve with an existing container. With this feature, logical partition key prefixes can exceed 20 GB and 10,000 RU/s, and queries by prefix are efficiently routed to the subset of partitions with the data. If you use synthetic keys today or have scenarios where partition keys can exceed 20 GB of data, subpartitioning can help. Hierarchical partition keys enable up to three partition keys to be used instead of one, to better optimize data distribution and achieve greater scale. This gives customers a temporary cushion if they’ve under-provisioned and allows them to experience fewer rate-limited requests.ĭevelopers can use Hierarchical partition keys, now generally available, to improve partitioning strategies and performance. Databases and containers using standard provisioned throughput (manual or autoscale) with burst capacity enabled will be able to maintain performance during short bursts, when requests exceed the throughput limit. With Burst capacity, now generally available, developers can achieve better performance and productivity by utilizing the idle throughput capacity of their database or container to handle traffic spikes.

azure data studio postgresql

Save costs and enhance productivity with new elasticity features Here’s a look at what’s new from Azure Cosmos DB. We hope you’re able to join us live or in-person in Seattle and that you continue to enjoy the event with us this week! We also introduced new tools for building intelligent, AI-infused applications. Azure Cosmos DB announced its own new additions and enhancements, enabling developers to further optimize costs, performance, and productivity. Microsoft Build 2023 kicked off today with exciting sessions and announcements lined up around AI, cloud development, cloud-scale innovation, developer productivity, and more.






Azure data studio postgresql